System

Abstract

A system is provided.SOLUTION: This system is provided with a means for investing in a specific project, and for returning the profit to an investor, a means for acquiring the information of a generation system artificial intelligence project, and for providing the information to a user, a means for executing investment in the generation system artificial intelligence project selected by the user, and a means for managing the progress of the project, and for returning profits to the investor.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The technology of the present disclosure relates to a system. [Background technology]

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to a description of the chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] The development of generative AI requires large amounts of capital, making it difficult for individual projects to proceed in parallel. Furthermore, opportunities for ordinary individuals to invest in these projects are limited, resulting in a slowdown in the evolution of generative AI. In particular, Japan has stagnated investment in information and communications technology (ICT), leaving the development environment for generative AI inadequate. For this reason, a new marketplace is needed to promote investment in generative AI projects and return profits to investors. [Means for solving the problem]

[0005] The present invention provides a system including a means for investing in a specific project and returning the profits to investors, a means for acquiring information on generative AI projects and providing that information to a user, a means for investing in a generative AI project selected by a user, and a means for managing the progress of the project and returning profits to investors. This allows for easy investment in generative AI development projects, accelerating the evolution and spread of generative AI. Furthermore, when returning profits, the system includes a means for reflecting the calculated profit amount in each investor's account based on the investment ratio, thereby achieving fair and reliable profit distribution to investors. Furthermore, the system includes a means for displaying investment project data in an easily comparable format, providing investors with information to make appropriate investment decisions and promoting the development and use of generative AI.

[0006] "Specific projects" refer to generative artificial intelligence development projects that users can select as investment targets.

[0007] "Investment" refers to the act of a user providing funds to a specific project.

[0008] "Revenue" refers to the profits generated from a particular project.

[0009] "Investor" refers to an individual or legal entity that provides funding for a particular project and has the right to receive the proceeds.

[0010] The "generative artificial intelligence project" refers to research and development activities aimed at developing new generative artificial intelligence.

[0011] "Gathering information" refers to the act of gathering detailed data about a generative artificial intelligence project.

[0012] "Providing information" refers to the act of presenting acquired data about the generative artificial intelligence project to the user.

[0013] "User" refers to an individual or corporation that uses this system to invest in generative artificial intelligence projects.

[0014] "Making an investment" refers to the act of providing funds to a specific generative AI project selected by the user.

[0015] "Project management" refers to the act of tracking, recording, and evaluating the progress of a particular project.

[0016] "Returning profits" refers to the act of distributing profits generated from a project to investors.

[0017] "Account" refers to the collection of individual credentials and associated data that a User or Investor has within the System.

[0018] "Calculated profit amount" refers to the specific amount of profit allocated to each investor based on their investment ratio from the project revenue.

[0019] "Easy-to-compare format" refers to a format in which data from multiple investment projects is visually organized, allowing users to easily compare and analyze them.

[0020] "Investment decision" refers to the act of a user deciding which projects to fund. [Brief explanation of the drawings]

[0021] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0022] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0023] First, the terms used in the following description will be explained.

[0024] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0025] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0026] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0027] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0028] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0029] [First embodiment]

[0030] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0031] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0032] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0033] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0034] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0035] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0036] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0037] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0038] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0039] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0040] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0041] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0042] The present invention is a system for investing in specific projects and returning the profits to investors. This system is designed to facilitate fundraising for generative AI projects and to streamline profit distribution to investors.

[0043] System Overview

[0044] The system includes the following major components:

[0045] 1. User registration and login function

[0046] 2. Project list display function

[0047] 3. Investment implementation function

[0048] 4. Project progress management and profit return function

[0049] Program processing

[0050] 1. User Registration and Login

[0051] First, a user enters their name, email address, and password into a user registration form. The terminal sends this data to the server, which stores the received data in a database. The server then generates a confirmation email and sends it to the user's email address. When the user clicks the link in the confirmation email, the account is activated. When logging in, the user enters their email address and password, which the terminal sends to the server. The server compares the information with the database, and if there is a match, it generates a session ID and displays a login success message to the user.

[0052] 2. Project list display

[0053] After logging in, the user accesses the project list page. The device sends a request to the server for project information. The server retrieves information about generative AI projects from the database, formats it, and returns it to the device. The device displays the retrieved data to the user.

[0054] 3. Investment Execution

[0055] The user selects the project they want to invest in, enters the investment amount, and clicks the invest button. The terminal then sends the investment data to the server, which stores the investment information in a database and updates the project's fundraising progress, along with the investment amount and other related data.

[0056] 4. Project progress management and profit return

[0057] The server periodically saves and updates the project's progress in a database. When the project generates revenue through commercial use, the server records the information in the database. The server then calculates the profit based on each investor's investment ratio and reflects the profit in each investor's account. Users can check the returned profit information on their investment history page.

[0058] Specific examples

[0059] For example, suppose user A invests 100,000 yen and user B invests 150,000 yen in a particular generative AI project. If the project is successful and generates 1 million yen in revenue through commercial use, the profits will be distributed based on the investment ratio. The server first calculates each user's investment ratio (e.g., 40% for A, 60% for B), and then determines the amount of return based on this ratio. Therefore, user A will receive 400,000 yen, and user B will receive 600,000 yen. This specific process allows investors to receive profits fairly.

[0060] In this way, the present invention facilitates investment in generative AI projects, thereby promoting the evolution and spread of generative AI. The entire system is user-friendly, and information is provided appropriately to support investment decisions.

[0061] The processing flow will be explained below.

[0062] User Registration and Login

[0063] User Registration

[0064] Step 1:

[0065] The user enters their name, email address, and password into a user registration form on their terminal.

[0066] Step 2:

[0067] The terminal sends the input data to the server as a POST request.

[0068] Step 3:

[0069] The server validates the received data and stores the user information in a database.

[0070] Step 4:

[0071] The server will automatically generate a confirmation email and send it to the specified email address.

[0072] Step 5:

[0073] The user clicks on the link in the confirmation email they receive to activate their account.

[0074] Step 6:

[0075] The server receives the validation request and updates the user status in the database to "validated."

[0076] User Login

[0077] Step 1:

[0078] The user enters their email address and password in the login form and clicks the "Login" button.

[0079] Step 2:

[0080] The terminal sends the input data to the server.

[0081] Step 3:

[0082] The server compares the entered information with the information stored in the database.

[0083] Step 4:

[0084] If the server matches, it generates a session ID and displays a successful login message to the user.

[0085] Project list display

[0086] Step 1:

[0087] After logging in, the user accesses the project list page.

[0088] Step 2:

[0089] The terminal sends a GET request to the server requesting project list data.

[0090] Step 3:

[0091] The server retrieves information about generative artificial intelligence projects currently accepting applications from the database.

[0092] Step 4:

[0093] The server formats the acquired project information and returns it to the device in JSON format.

[0094] Step 5:

[0095] The data acquired by the terminal is displayed on a web page and provided to the user.

[0096] Implementing the investment

[0097] Step 1:

[0098] The user goes to the project details page, enters the investment amount (for example, 100,000 yen), and clicks the invest button.

[0099] Step 2:

[0100] The terminal sends investment data (user ID, project ID, investment amount) to the server via a POST request.

[0101] Step 3:

[0102] The server validates the received data and adds the new investment information to the investment history database.

[0103] Step 4:

[0104] The server updates the cumulative investment amount for the project and saves the progress data in the database.

[0105] Step 5:

[0106] The server returns the updated results to the terminal and displays a message that the investment was successful.

[0107] Project progress management and profit return

[0108] Step 1:

[0109] The server periodically saves and updates the project progress in a database.

[0110] Step 2:

[0111] The server receives revenue information generated from the commercial use of the project.

[0112] Step 3:

[0113] The server calculates the return amount based on each investor's investment ratio.

[0114] Step 4:

[0115] The server updates each investor's account with the calculated profit amount.

[0116] Step 5:

[0117] After logging in, the user goes to their investment history page and checks the returned profit information.

[0118] Example 1

[0119] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0120] In conventional investment systems, the process of investing in specific projects and returning profits was complicated, making the process cumbersome for investors. Furthermore, there were issues with the inability to efficiently obtain information about generative AI projects, manage project progress, or return profits based on investment ratios. This made it difficult for investors to obtain the information they needed to make appropriate investment decisions, potentially resulting in unfair profit distribution.

[0121] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0122] In this invention, the server includes: means for a user to register by entering their name, email address, and password; means for the terminal to send the entered data to the server and store it; means for the server to generate a confirmation email and send it to the user's email address; means for the user to activate their account by clicking on a link in the confirmation email; means for the user to log in by entering their email address and password; means for the terminal to send data to the server for authentication and generate a session ID if authentication is successful; means for the terminal to request project information from the server; means for the server to retrieve project information from a database and provide it to the user terminal; means for the user to make an investment and send the investment information to the server through the terminal; means for the server to store the investment information in a database and update the project's fundraising progress; means for the server to periodically update and store project progress and commercial revenue information; and means for the server to return profits to each investor based on the revenue information. This enables efficient investment in generative artificial intelligence projects and the associated return of profits, and provides users with information for appropriate investment decisions.

[0123] "User registration" is the process of creating an account by entering your name, email address, and password.

[0124] A "terminal" is a device that allows a user to input or receive information, including a computer, smartphone, tablet, etc.

[0125] A "server" is a computer system that collects, stores, and manages data and provides services to users.

[0126] An "HTTP request" is a communication protocol for sending data from a user terminal to a server.

[0127] A MySQL database is a type of relational database management system that allows you to efficiently store, search, and manage data.

[0128] The "SMTP protocol" is a communication protocol for sending email.

[0129] A "confirmation email" is an email sent to a user upon registration to confirm account activation.

[0130] "JWT (JSON Web Token)" is a token that contains user authentication information and serves as a session ID.

[0131] "Project Information" means detailed information about a generative artificial intelligence project, and is data provided to investors.

[0132] "Investment information" refers to the amount of money and detailed project information that a user inputs when investing in a specific project.

[0133] A "Cron job" is a system administration tool for automatically scheduling recurring tasks.

[0134] "Progress update" is the process of updating data to keep the project's progress up to date.

[0135] "Investment ratio" is the percentage of the amount each investor has invested in the project.

[0136] "Return on investment" is the process of distributing the profits generated by a project to investors based on their investment ratio.

[0137] This invention is a system for investing in specific projects and returning the profits to investors. This system is designed to facilitate fundraising for generative AI projects and streamline profit distribution to investors. The basic hardware consists of a terminal, a server, and a database, and the main software tools used are a MySQL database, SMTP protocol, HTTP protocol, JSON Web Token (JWT), and Cron jobs.

[0138] First, the user must register and log in to the system. This involves a registration process where the user enters their name, email address, and password. The entered data is sent from the terminal to the server using an HTTP POST request. The server stores the received data in a MySQL database and simultaneously validates the data. Following this, the server generates a confirmation email using the SMTP protocol and sends it to the user's email address. Once the user clicks on the link in the confirmation email, the account is activated.

[0139] A user logs in by entering their email address and password. The device sends this data to the server, which checks it against information in a database. If there's a match, the server generates a JSON Web Token (JWT) and displays a login success message to the user. This JWT acts as a session ID and keeps the user authenticated.

[0140] After logging in, the user can access the project list page. The device sends a request to the server to retrieve project information. The server queries the information on the generative AI project from the MySQL database, structures it in JSON format, and returns it to the device. The device displays the retrieved data to the user using React.js.

[0141] The user selects the project they want to invest in, enters the investment amount, and clicks the invest button. The terminal sends the investment information to the server via an HTTP POST request. The server stores the investment information in a MySQL database and updates the project's fundraising progress, including calculating the current total investment amount.

[0142] For project progress management and profit return, a Cron job is set up so that the server periodically retrieves project progress data. The server saves the progress data in a MySQL database and updates it as necessary. When profits are generated from commercial use of the project, the server saves the information in the database. The server then calculates profits based on each investor's investment ratio and reflects the profits in each investor's account. Users can check the returned profit information on their investment history page.

[0143] As a concrete example, suppose User A invests 100,000 yen and User B invests 150,000 yen in a particular generative AI project. This information is sent by the terminal to the server, which stores the investment information in a MySQL database. If the project is successful and generates revenue of 1 million yen, the server first calculates each user's investment ratio (40% for User A, 60% for User B). The server then determines the amount of return based on this ratio, returning 400,000 yen to User A and 600,000 yen to User B. This process ensures fair profit distribution.

[0144] The above system will make it easier to invest in generative AI projects, thereby promoting the evolution and spread of generative AI. The entire system is user-friendly and provides appropriate information to support investment decisions.

[0145] Example prompt sentence:

[0146] "Please explain in natural language how to display a list of projects to a generative AI model."

[0147] "Please explain the steps to invest 100,000 yen in a specific generative AI project."

[0148] "Please explain the process of project progress management and profit return with specific examples."

[0149] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0150] Step 1: User Registration

[0151] 1.1 Input

[0152] The user enters their name, email address, and password.

[0153] 1.2 Data Transmission

[0154] The terminal sends the input data to the server using an HTTP POST request.

[0155] 1.3 Data storage

[0156] The server stores the received data in a MySQL database, and at the same time validates the data to ensure there is no invalid data.

[0157] 1.4 Confirmation email sent

[0158] The server uses the SMTP protocol to generate and send a confirmation email containing a confirmation link to the user's email address.

[0159] 1.5 Account Activation

[0160] When a user clicks on the link in the confirmation email, the server detects the click and activates the user's account.

[0161] output

[0162] An enabled user account.

[0163] Step 2: User Login

[0164] 2.1 Input

[0165] The user enters their email address and password into the login form.

[0166] 2.2 Data Transmission

[0167] The terminal sends this data to the server using an HTTP POST request.

[0168] 2.3 Authentication process

[0169] The server checks the information in the database and generates a JWT (JSON Web Token) if it matches, otherwise it returns an error message.

[0170] 2.4 Login success notification

[0171] The server sends the generated JWT to the user and displays a login success message.

[0172] output

[0173] A login success message and a JWT for user authentication.

[0174] Step 3: List projects

[0175] 3.1 Sending a Request

[0176] After logging in, the user accesses the project list page. The terminal sends a request to acquire project information to the server.

[0177] 3.2 Data Acquisition

[0178] The server retrieves information about generative artificial intelligence projects from a MySQL database and structures it in JSON format.

[0179] 3.3 Data Transmission

[0180] The server transmits the structured data to the terminal.

[0181] 3.4 Display Processing

[0182] The device analyzes the acquired data and displays a list of projects to the user using React.js.

[0183] output

[0184] Project list information.

[0185] Step 4: Making the investment

[0186] 4.1 Input

[0187] The user selects the project they want to invest in, enters the investment amount, and clicks the invest button.

[0188] 4.2 Data Transmission

[0189] The terminal sends the input investment information to the server via an HTTP POST request.

[0190] 4.3 Data storage

[0191] The server stores the received investment information in a MySQL database.

[0192] 4.4 Progress Updates

[0193] The server updates the project's funding progress and recalculates the current total investment amount and stores it in the database.

[0194] output

[0195] Updated project funding progress information.

[0196] Step 5: Project progress management and profit return

[0197] 5.1 Progress Data Update

[0198] The server periodically uses a Cron job to retrieve project progress data and store it in a MySQL database.

[0199] 5.2 Revenue Data Storage

[0200] Once a project is commercially successful and generates revenue, the server stores that information in a MySQL database.

[0201] 5.3 Profit calculation

[0202] The server calculates the profit based on the investment ratio of each investor.

[0203] 5.4 Profit return

[0204] The server reflects the calculated profit amount in each investor's account.

[0205] output

[0206] Profit information reflected in investor's account.

[0207] Through the above series of processing steps, this system can efficiently perform user registration, authentication, display of project information, investment execution, progress management, and profit return.

[0208] (Application example 1)

[0209] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0210] While systems existed for investing in specific projects and receiving profits from them, there was a lack of an easy way for users to invest in generative AI projects at the same time as purchasing products on online shopping sites. Furthermore, there was a lack of information available to check investment progress in real time or to support appropriate investment decisions. This led to delays in investment decision-making and made it difficult to find suitable investment targets.

[0211] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0212] In this invention, the server includes means for investing in projects and returning profits to investors, means for acquiring information on generative AI projects and providing that information to users, means for investing in generative AI projects selected by users, means for providing investment options related to products purchased by users, means for managing project progress and returning profits to investors, and means for enabling users to check investment status in real time via a smartphone or head-mounted display. This allows users to have investment options when purchasing products and to check investment progress in real time, enabling them to make quick investment decisions based on appropriate information.

[0213] A "project" is a set of activities and tasks planned and carried out to achieve a specific goal or objective.

[0214] "Investment" is a financial act that involves providing money to a specific project or business with the aim of receiving a share of the results and profits.

[0215] An "investor" is an individual or organization that provides financial support to a particular project or undertaking and has the right to receive the results or benefits of the project or undertaking.

[0216] The "Generative Artificial Intelligence Project" is a research and development project aimed at automatically generating a wide variety of information and content using generative AI technology.

[0217] "User" means an individual or organization that uses this system to obtain project information and make investments.

[0218] "Progress" refers to the state of execution of a particular project or task and the degree of completion.

[0219] "Revenue" is the financial benefit resulting from a particular project or undertaking.

[0220] "Return" means distributing profits to investors in return for the money they provide.

[0221] An "online shopping site" is an online platform for selling and purchasing goods and services over the Internet.

[0222] "Real-time" means that data and information are processed immediately and provided to users almost simultaneously.

[0223] "Investment decision" is the evaluation and decision-making process to determine whether to invest in a particular project or business.

[0224] A "smartphone" is a highly functional mobile device that can run a wide variety of applications in addition to telephone functions.

[0225] A "head-mounted display" is a display device that is worn on the user's head and displays visual information.

[0226] This invention provides an investment support system specialized for online shopping sites. The system includes the following main components:

[0227] 1. User registration and login function

[0228] First, a user registers by entering their name, email address, and password. The device sends this data to the server, which then stores it in a database. A confirmation email is generated and sent to the user's email address, and when the user clicks on the link in the confirmation email, the account is activated. When logging in, the user enters their email address and password and sends them to the server. The server compares the information with the database, and if there is a match, it generates a session ID and displays a login success message to the user.

[0229] 2. Project list display function

[0230] After logging in, the user accesses the project list page. The device sends a request to the server for project information. The server retrieves information about the generative AI project from the database, formats it, and returns it to the device. The device then displays the retrieved data to the user.

[0231] 3. Investment execution function

[0232] The user invests in the generative AI project of their choice. The user selects the project they want to invest in, enters the investment amount, and clicks the invest button. The terminal sends the investment data to the server. The server stores the investment information in a database and updates the project's fundraising progress. At this time, the investment amount and other related data are also recorded.

[0233] 4. Investment option provision function

[0234] When a user purchases a product, they can select an additional pledge option during the checkout process. If a user selects an additional pledge option, the amount will be added to the purchase amount and donated to the specified project.

[0235] 5. Project progress management and profit return function

[0236] The server periodically saves and updates the project's progress in a database. When revenue is generated from the project's commercial use, the server records the information in the database. The server then calculates the profits based on each contributor's investment ratio and reflects the profits in each contributor's account. Users can check the returned profit information on their investment history page.

[0237] 6. Real-time investment status confirmation function

[0238] The server allows users to check the investment status in real time using a smartphone or head-mounted display. To do this, the server periodically updates the project progress, allowing users to instantly access the information they need.

[0239] Hardware and software used

[0240] Hardware: Smartphones, servers

[0241] Software: Flask (Python framework), SQLite (database)

[0242] This allows the system to efficiently handle management and real-time updates of contribution information.

[0243] Examples of concrete examples and prompts

[0244] Examples:

[0245] User A invested 10,000 yen in Generative Artificial Intelligence Project 1, and User B invested 20,000 yen.

[0246] If the project is successful and generates a profit of 300,000 yen, the profits will be distributed based on each user's investment ratio: User A will receive 100,000 yen, and User B will receive 200,000 yen.

[0247] Example prompt sentence:

[0248] "Please enter the amount invested by the user:"

[0249] An additional investment of 10,000 yen has been added.

[0250] Enter your revenue:

[0251] Revenue of 300,000 yen was generated.

[0252] Calculating revenue distribution to each user... Completed. User A received 100,000 yen and User B received 200,000 yen.

[0253] This invention allows users to easily invest in generative AI projects when purchasing products on online shopping sites. Furthermore, the status of investments can be checked in real time, enabling quick and appropriate investment decisions.

[0254] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0255] Step 1:

[0256] A user uses a terminal to enter their name, email address, and password into a user registration form. The terminal sends this data to the server, which stores it in a database. The server then generates a confirmation email and sends it to the user's email address. When the user clicks the link in the confirmation email, the account is activated. Specifically, when a user enters data into the form and presses the submit button, the data is sent to the server in JSON format. The server records the information in the database and sends the confirmation email.

[0257] Step 2:

[0258] The user uses the device to enter their email address and password and clicks the login button. The device sends this to the server. The server compares the information with the database and, if it matches, generates a session ID and displays a login success message to the user. Specifically, the user enters and submits the necessary information on the device's login screen, and the server searches for the relevant user information in the database and authenticates them.

[0259] Step 3:

[0260] After logging in, the user accesses the project list page. The device sends a request to the server for project information. The server retrieves information about generative AI projects from the database, formats it, and returns it to the device. The device then displays the retrieved data to the user. Specifically, the server queries the database for project information, sends the retrieved data to the device in JSON format, and the device displays the received information in a list.

[0261] Step 4:

[0262] The user selects the generative AI project they want to invest in, enters the investment amount, and clicks the invest button. The terminal then sends the investment data to the server. The server then saves the investment information in a database and updates the project's fundraising progress. At this time, the investment amount and other related data are also recorded. Specifically, the user enters the investment amount in the input form on the terminal and presses the send button to send the data to the server, which then records the data in the database.

[0263] Step 5:

[0264] When a user purchases a product, they can select an additional contribution option during the checkout process. If the user selects an additional contribution option, the amount is added to the purchase amount and sent to the specified project along with the original purchase amount. The server records the additional contribution information and updates the database. Specifically, when a user selects a contribution option on the purchase screen and completes the purchase process, the purchase information and investment information are sent to the server, which then records the information in the database.

[0265] Step 6:

[0266] The server periodically saves and updates the project progress in a database. When revenue is generated from the commercial use of the project, the server records the information in the database. The server then calculates profits based on each contributor's investment ratio and reflects the profits in each contributor's account. Users can check the returned profit information on their investment history page. Specifically, the server collects and updates project progress information at specific time intervals and calculates profit distribution based on the revenue information.

[0267] Step 7:

[0268] The server periodically updates the project's progress so that users can check their investment status in real time using their smartphone or head-mounted display. When a user launches the application and checks the progress, the server sends the latest information. Specifically, the user accesses the confirmation page through their device, and the server queries and sends the latest information to the device, enabling real-time checking.

[0269] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0270] This invention combines a system that invests in specific projects and returns profits to investors with an emotion engine that recognizes user emotions. This system is designed to facilitate fundraising for generative AI projects and streamline profit distribution to investors. The emotion engine also analyzes users' emotions and makes investment recommendations and risk assessments based on those emotions, supporting more precise investment decisions.

[0271] System Overview

[0272] The system includes the following major components:

[0273] 1. User registration and login function

[0274] 2. Project list display function

[0275] 3. Investment implementation function

[0276] 4. Project progress management and profit return function

[0277] 5. Emotion Recognition and Analysis Function (Emotion Engine)

[0278] Program processing

[0279] 1. User Registration and Login

[0280] First, a user enters their name, email address, and password into a user registration form. The terminal sends this data to the server, which stores the received data in a database. The server then generates a confirmation email and sends it to the user's email address. When the user clicks the link in the confirmation email, the account is activated. When logging in, the user enters their email address and password, which the terminal sends to the server. The server compares the information with the database, and if there is a match, it generates a session ID and displays a login success message to the user.

[0281] 2. Project list display

[0282] After logging in, the user accesses the project list page. The device sends a request to the server for project information. The server retrieves information about generative AI projects from the database, formats it, and returns it to the device. The device displays the retrieved data to the user.

[0283] 3. Investment Execution

[0284] The user selects the project they want to invest in, enters the investment amount, and clicks the invest button. The terminal then sends the investment data to the server, which stores the investment information in a database and updates the project's fundraising progress, along with the investment amount and other related data.

[0285] 4. Project progress management and profit return

[0286] The server periodically saves and updates the project's progress in a database. When the project generates revenue through commercial use, the server records the information in the database. The server then calculates the profit based on each investor's investment ratio and reflects the profit in each investor's account. Users can check the returned profit information on their investment history page.

[0287] 5. Emotion Recognition and Analysis

[0288] When a user accesses the system, the emotion engine monitors the user's input and behavior in real time and analyzes the user's emotions. For example, if the user is comparing multiple projects, the engine analyzes their facial expressions and verbal input to assess their interest or anxiety about investing. Based on this emotional data, the server recommends investment projects that suit the user's emotions. Furthermore, the emotion engine continuously monitors the user's emotional state and updates investment recommendations according to changes in emotions.

[0289] Specific examples

[0290] For example, suppose user A invests 100,000 yen and user B invests 150,000 yen in a particular generative AI project. If the project is successful and generates 1 million yen in revenue through commercial use, the profits will be distributed based on the investment ratio. The server first calculates each user's investment ratio (e.g., 40% for user A and 60% for user B), and then determines the amount of return based on this ratio. Therefore, user A will receive 400,000 yen, and user B will receive 600,000 yen. This specific process allows investors to receive profits fairly.

[0291] Furthermore, when User A logs into the system, the emotion engine analyzes the user's facial expression and, if it detects that the user is excited, the emotion engine will temporarily not display high-risk investments. Also, if there are doubts about an investment, the emotion engine will recognize that emotion and suggest detailed explanations and low-risk investments.

[0292] In this way, the present invention will facilitate investment in generative AI projects, thereby promoting the evolution and spread of generative AI. The entire system is user-friendly, and it is expected that information will be provided appropriately to support investment decisions.

[0293] The processing flow will be explained below.

[0294] User Registration and Login

[0295] User Registration

[0296] Step 1:

[0297] The user enters their name, email address, and password into a user registration form on their terminal.

[0298] Step 2:

[0299] The terminal sends the input data to the server as a POST request.

[0300] Step 3:

[0301] The server verifies the received data to ensure it is valid.

[0302] Step 4:

[0303] The server stores the user information in a database.

[0304] Step 5:

[0305] The server will automatically generate a confirmation email and send it to the specified email address.

[0306] Step 6:

[0307] The user clicks on the link in the confirmation email they receive to activate their account.

[0308] Step 7:

[0309] The server receives the validation request and updates the user status in the database to "validated."

[0310] User Login

[0311] Step 1:

[0312] The user enters their email address and password in the login form and clicks the "Login" button.

[0313] Step 2:

[0314] The terminal sends the input data to the server.

[0315] Step 3:

[0316] The server compares the entered information with the information stored in the database.

[0317] Step 4:

[0318] If the server matches, it generates a session ID and displays a successful login message to the user.

[0319] Project list display

[0320] Step 1:

[0321] After logging in, the user accesses the project list page.

[0322] Step 2:

[0323] The terminal sends a GET request to the server requesting project list data.

[0324] Step 3:

[0325] The server retrieves information about generative artificial intelligence projects currently accepting applications from the database.

[0326] Step 4:

[0327] The server formats the acquired project information and returns it to the device in JSON format.

[0328] Step 5:

[0329] The data acquired by the terminal is displayed on a web page and provided to the user.

[0330] Implementing the investment

[0331] Step 1:

[0332] The user goes to the project details page, enters the investment amount (for example, 100,000 yen), and clicks the invest button.

[0333] Step 2:

[0334] The terminal sends investment data (user ID, project ID, investment amount) to the server via a POST request.

[0335] Step 3:

[0336] The server validates the received data and stores the investment data in a database.

[0337] Step 4:

[0338] The server updates the cumulative investment amount for the project and saves the progress data in the database.

[0339] Step 5:

[0340] The server returns the updated results to the terminal and displays a message that the investment was successful.

[0341] Project progress management and profit return

[0342] Step 1:

[0343] The server periodically saves and updates the project progress in a database.

[0344] Step 2:

[0345] The server receives revenue information generated from the commercial use of the project.

[0346] Step 3:

[0347] The server calculates the return amount based on each investor's investment ratio.

[0348] Step 4:

[0349] The server updates each investor's account with the calculated profit amount.

[0350] Step 5:

[0351] The user goes to their investment history page and checks the returned profit information.

[0352] Emotion Recognition and Analysis

[0353] Step 1:

[0354] When a user accesses the system, the emotion engine monitors the user's input and behavior in real time.

[0355] Step 2:

[0356] The emotion engine collects user input data (e.g., facial expression recognition, voice analysis, text content).

[0357] Step 3:

[0358] The emotion engine analyzes the user's emotional state based on the collected data.

[0359] Step 4:

[0360] The server proposes investment projects based on the user's emotional data.

[0361] Step 5:

[0362] The emotion engine continuously monitors the user's emotional fluctuations and updates the suggestions accordingly.

[0363] For example, if a user is frowning while looking at a list of projects, the emotion engine will detect anxiety, and the server will prioritize low-risk investments. Conversely, if the user is excited, stable investments will be suggested. This allows users to make investment decisions that are appropriate to their emotional state.

[0364] Example 2

[0365] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0366] Conventional investment systems have problems such as inefficient project fundraising and profit distribution to investors, and a lack of support for investment decisions that take into account user sentiment. As a result, project progress and profit distribution are unclear, leading to lower investor satisfaction.

[0367] The identification processing by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for providing funds to specific projects and returning the profits to investors, means for obtaining information on generative AI projects from a database and providing that information to the user, means for providing funds to generative AI projects selected by the user, means for managing the progress of the projects and returning profits to investors, means for recognizing user emotions in real time and recommending appropriate investment proposals based on the emotions, and means for continuously updating investment recommendations based on user emotion data. This enables efficient fundraising for investment projects and precise investment decisions based on user emotions.

[0368] "Project" refers to a plan or activity to achieve a specific objective.

[0369] "Funding" refers to the act of providing the necessary funds for a project or activity.

[0370] "Sponsor" refers to an individual or organization that provides funding for a particular project or enterprise.

[0371] A "database" refers to a system that systematically stores large amounts of information and makes it easy to search and manipulate.

[0372] "Generative AI" refers to AI that has the ability to learn human knowledge and patterns and generate new content and solutions.

[0373] "Information" refers to a collection of data, facts, or knowledge that has value for a particular purpose or context.

[0374] "User" means any person or entity that uses the System or Services.

[0375] "Emotions" refer to a person's internal psychological state or sensation, and are a response to a particular event or situation.

[0376] "Real-time" refers to immediate response or processing without delay.

[0377] "Recommendation" refers to the act of encouraging others to take a particular action or choice.

[0378] "Progress" refers to how far a particular plan or activity has progressed.

[0379] "Profit" refers to the amount remaining after deducting expenses from revenue.

[0380] "Calculation" refers to the process of using numbers and data to arrive at a specific result.

[0381] "Reflection" refers to the act of applying specific results or data to real-world situations or systems.

[0382] "Comparison" refers to the act of comparing multiple objects to reveal their differences and similarities.

[0383] "Helping" refers to the act of helping others to accomplish a specific action or goal.

[0384] The present invention relates to a system for providing funds to specific projects and returning the profits to investors. How the present invention is implemented will be described in detail below.

[0385] System Configuration

[0386] This system mainly uses the following hardware and software:

[0387] Hardware: Servers (e.g., cloud servers), devices (user PCs and smartphones)

[0388] Software: Database (e.g., Amazon RDS), emotion engine (e.g., Microsoft Azure Emotion API)

[0389] Program processing overview

[0390] The system provides functionality that allows users to invest in generative AI projects and supports investment decisions based on emotions.

[0391] Detailed system description

[0392] 1. User Registration and Login

[0393] The user enters their name, email address, and password into a registration form, which the device sends to the server, which stores the data in a database and generates a confirmation email that is sent to the user's email address. The user clicks on the link in the confirmation email to activate their account.

[0394] 2. Project list display

[0395] After logging in, the user accesses the project list page. The device requests project information from the server, and the server retrieves information about generative AI projects from the database and returns it to the device. The device then displays the retrieved information in a list format.

[0396] 3. Investment Execution

[0397] The user selects the project they want to invest in, enters the investment amount, and clicks the invest button. The terminal sends the investment data to the server, which stores it in a database. The project's fundraising progress is updated, and the new progress information is reflected in the database.

[0398] 4. Project progress management and profit return

[0399] The server periodically saves and updates the project progress in a database. When profits are generated, the server calculates the profits and reflects them in each investor's account. Users can check the profit information on their investment history page.

[0400] 5. Emotion Recognition and Analysis

[0401] When a user accesses the system, the device acquires data on the user's behavior and facial expressions and sends it to the emotion engine. The emotion engine analyzes the user's emotions and returns the results to the server. The server then recommends suitable investments to the user based on the emotion data. The recommendations are continuously updated based on the user's emotional state.

[0402] Specific examples

[0403] For example, if user A invests 100,000 yen and user B invests 150,000 yen in a generative AI project, and the project is successful and generates a profit of 1 million yen, the server will calculate the profit based on the investment ratio. As a result, user A will receive 400,000 yen and user B will receive 600,000 yen. At the same time, the emotion engine analyzes emotions at the time of investment and makes appropriate investment recommendations.

[0404] Prompt Sentence Examples

[0405] Explain how a system that makes it easy to invest in generative artificial intelligence projects makes investment recommendations based on user sentiment.

[0406] As described above, the present invention provides a system that improves the efficiency of fundraising for generative artificial intelligence projects and supports more sophisticated investment decisions by utilizing user emotional data.

[0407] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0408] Step 1:

[0409] User Registration

[0410] The user enters their name, email address, and password and submits the registration form. The terminal sends this data in JSON format to the server. The server receives the entered data and stores it in a database. It then generates a confirmation email and sends it to the specified email address. This email is sent using the SMTP protocol. The input is the user's registration information, and the output is saving the user's information in the database and sending a confirmation email.

[0411] Step 2:

[0412] Account Activation

[0413] When the user clicks on the link in the confirmation email, the device sends an account activation request to the server. The server receives the request and updates the account status of the user in the database as "active." The input is the user's action (clicking on the link), and the output is the updated account status in the database.

[0414] Step 3:

[0415] Login Authentication

[0416] The user enters their email address and password into the login form and submits it. The terminal sends this information to the server. The server checks it against the database information, and if it matches, generates a session ID and sends it to the terminal. The terminal saves the session ID and displays a login success message to the user. The input is the user's login information, and the output is generating a session ID and maintaining the login state.

[0417] Step 4:

[0418] Retrieving and displaying project information

[0419] After logging in, the user accesses the project list page. The terminal sends a project information request in JSON format to the server. The server retrieves the project information from the database and returns the formatted data in JSON format to the terminal. The terminal analyzes the received information and displays the project list to the user. The input is the project information request, and the output is a list of project information.

[0420] Step 5:

[0421] Investment execution

[0422] The user selects a project to invest in, enters the investment amount, and clicks the invest button. The terminal sends the investment data in JSON format to the server. The server saves the received data in the database and updates the project's funding status. The updated information is saved in the database and an investment completion message is sent to the user. The input is the investment data, and the output is the database update and the investment completion message.

[0423] Step 6:

[0424] Project progress management and profit return

[0425] The server periodically updates the database with the project's progress. When profits are generated, the server records the information in the database and calculates the profits of each investor based on their investment ratio. The calculated profits are reflected in each investor's account. Users can check this on their investment history page. The input is project progress data and profit information, and the output is profit calculations and the profits reflected in their accounts.

[0426] Step 7:

[0427] Emotion Recognition and Investment Recommendations

[0428] When a user accesses the system, the terminal captures user behavior (clicks, inputs) and facial expression data via the camera in real time. This data is sent to the emotion engine, where it is analyzed. The server receives the analysis results and recommends investment projects that suit the user's emotional state. It also continuously updates investment recommendations based on the emotion data. The input is the user's behavioral data and facial expression data, and the output is investment recommendations based on emotions.

[0429] (Application example 2)

[0430] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0431] In recent years, investment in generative AI projects has been gaining attention. However, conventional investment systems do not take into account users' emotional changes or risk assessments, making investment decisions difficult and making it difficult for investors to select appropriate investment projects. Furthermore, the procedures for managing the progress of investment projects and distributing profits are complicated, resulting in increased time and costs. This has led to issues such as a decline in the efficiency of investment in generative AI projects and a decline in investor satisfaction.

[0432] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0433] In this invention, the server includes means for investing in specific projects through electronic payments and returning profits to investors, means for acquiring information on generative AI projects and providing that information to users, means for making investments in generative AI projects selected by users through electronic payments, means for managing project progress and returning profits to investors, and means for recognizing users' emotions and making investment recommendations and risk assessments based on those emotions. This allows users to receive recommendations that reflect their emotional state regarding investment projects in real time, improving the accuracy of their investment decisions. Furthermore, automating investment execution and profit return through electronic payments simplifies investment procedures and improves investor satisfaction.

[0434] "Electronic payment" is a general term for payment procedures conducted over the Internet or electronic devices.

[0435] The "Generative Artificial Intelligence Project" is a project that uses artificial intelligence technology to develop and provide new generative and analytical capabilities.

[0436] "Emotion recognition" is a technology that detects a person's emotional state and analyzes that emotional information.

[0437] "Investment recommendation" refers to the act or system of selecting and proposing optimal investments based on the user's needs and emotions.

[0438] "Risk assessment" is the process of analyzing the risks associated with an investment target and evaluating those risks quantitatively or qualitatively.

[0439] "Return of profits" refers to the procedures and methods for distributing investment profits to investors.

[0440] "Project progress management" is the activity of monitoring the progress of a specific project and providing regular updates and reports on that progress.

[0441] This invention combines a system that allows users to invest in specific projects through electronic payments and returns the profits to investors with an emotion engine that recognizes users' emotions. This system is designed to facilitate fundraising for generative AI projects and to efficiently distribute profits to investors.

[0442] System Overview

[0443] The system includes the following main components:

[0444] 1. User registration and login function: This is a function where users can register by entering their name, email address, and password. After registration, the account is activated through email confirmation. Then, users can log in using their email address and password.

[0445] 2. Information provision function for generative AI projects: The server retrieves information about generative AI projects from the database and provides it to users. This information includes project overviews, progress, target amounts, etc.

[0446] 3. Investment execution function by electronic payment: The user inputs the investment amount for the selected project and executes the investment through electronic payment. The server stores this investment data in the database and updates the project's fundraising progress.

[0447] 4. Project progress management and profit return function: The server periodically saves and updates the project progress in the database. When profits are generated, the profits are calculated based on the investment ratio and reflected in the investor's account.

[0448] 5. Emotion Recognition and Analysis Function (Emotion Engine): The server monitors user input and behavior in real time and analyzes the user's emotions. For example, when a user is comparing multiple projects, it analyzes their facial expressions and verbal input to assess their interest or anxiety about investing. Based on this emotional data, it recommends investment projects that fit their emotions.

[0449] Hardware and software used

[0450] The server is equipped with a database system that stores and manages user data. In addition, generative AI models (e.g., GPT-3 and BERT) are used for sentiment analysis. The server uses the Flask framework to build a web application that processes and displays user and investment data. User devices (smartphones, tablets, PCs, etc.) communicate with the server via a web browser or dedicated application to perform various operations.

[0451] Processing flow

[0452] A user accesses the investment platform and checks the overview of a generative AI project. The emotion engine then analyzes the user's facial expressions and input to make investment recommendations. For example, if the user has doubts about a project, the emotion engine will recognize that emotion and suggest more detailed information and lower-risk projects. In this way, users can make more precise investment decisions.

[0453] Specific examples

[0454] For example, suppose User A invests 100,000 yen and User B invests 150,000 yen in a specific generative AI project. If the project is successful and generates 1 million yen in revenue through commercial use, the profits will be distributed based on the investment ratio. Specifically, User A will receive 400,000 yen and User B will receive 600,000 yen.

[0455] Additionally, when a user accesses the system, the emotion engine analyzes the user's input. If the user types, "I'm worried about whether this AI project will really be successful," the emotion engine will recognize the user's anxiety and suggest detailed project information, success stories, and low-risk investment opportunities.

[0456] In this way, the system of the present invention enables smooth investment execution through electronic payments and sophisticated investment decisions using an emotion recognition engine, making it easier to invest in generative AI projects and thereby promoting the evolution and spread of generative AI.

[0457] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0458] Step 1:

[0459] User Registration and Login

[0460] A user registers by entering their name, email address, and password. The device sends this data to the server. The server stores the received data in a database and generates a confirmation email and sends it to the user's email address. When the user clicks the link in the confirmation email, the account is activated. The user then logs in using their email address and password, which the device sends to the server. The server compares the information in the database and, if the login is successful, generates a session ID and displays a login success message to the user.

[0461] Input: User registration information (name, email address, password)

[0462] Data processing: Save user information to database

[0463] Output: Send confirmation email, display login success message

[0464] Step 2:

[0465] Providing information on the Generative Artificial Intelligence Project

[0466] After logging in, the user accesses the project list page. The device sends a request to the server for project information. The server retrieves information about the generative AI project from the database, formats it, and returns it to the device. The device then displays the retrieved data to the user.

[0467] Input: Project Information Request

[0468] Data processing: Retrieving information from the database and formatting it

[0469] Output: Display project information

[0470] Step 3:

[0471] Investment execution through electronic payment

[0472] The user selects the project they want to invest in, enters the investment amount, and clicks the invest button. The terminal sends this investment data to the server, which stores the investment information in a database and updates the project's fundraising progress. The investment amount and other related data are also recorded.

[0473] Input: Investment data (project name, investment amount)

[0474] Data calculation: Saving investment information to a database and updating progress

[0475] Output: Confirmation message for investment completion

[0476] Step 4:

[0477] Project progress management and profit return

[0478] The server periodically saves and updates the project progress in a database. When a project generates revenue, the server records the information in the database, calculates the profit based on each investor's investment ratio, and reflects it in the investor's account. Users can check the returned profit information on their investment history page.

[0479] Input: Project progress data, revenue data

[0480] Data calculation: Calculate profits based on revenue and provide them to investors

[0481] Output: Profit return notification, investment history update

[0482] Step 5:

[0483] Emotion Recognition and Analysis (Emotion Engine)

[0484] When a user accesses the system and checks project information, the emotion engine monitors the user's input and behavior in real time and analyzes the user's emotions. For example, if the user is analyzed as "anxious" through facial expression recognition, the server will use the generative AI model to select the optimal investment recommendation project and suggest it to the user. An example of a prompt sentence is, "I'm worried about whether this AI project will really be successful."

[0485] Input: User input and behavioral data

[0486] Data Processing: Sentiment Analysis with Generative AI Models

[0487] Output: Sentiment-based investment recommendations

[0488] Adding specific examples

[0489] For example, if a user types, "I'm worried about whether this AI project will really succeed," the emotion engine will use the generative AI model to analyze this as "worried." Based on this result, the server will suggest low-risk investments suitable for the user.

[0490] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0491] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0492] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0493] [Second embodiment]

[0494] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0495] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0496] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0497] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0498] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0499] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0500] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0501] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0502] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0503] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0504] In the smart glasses 214, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0505] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0506] The present invention is a system for investing in specific projects and returning the profits to investors. This system is designed to facilitate fundraising for generative AI projects and to streamline profit distribution to investors.

[0507] System Overview

[0508] The system includes the following major components:

[0509] 1. User registration and login function

[0510] 2. Project list display function

[0511] 3. Investment implementation function

[0512] 4. Project progress management and profit return function

[0513] Program processing

[0514] 1. User Registration and Login

[0515] First, a user enters their name, email address, and password into a user registration form. The terminal sends this data to the server, which stores the received data in a database. The server then generates a confirmation email and sends it to the user's email address. When the user clicks the link in the confirmation email, the account is activated. When logging in, the user enters their email address and password, which the terminal sends to the server. The server compares the information with the database, and if there is a match, it generates a session ID and displays a login success message to the user.

[0516] 2. Project list display

[0517] After logging in, the user accesses the project list page. The device sends a request to the server for project information. The server retrieves information about generative AI projects from the database, formats it, and returns it to the device. The device displays the retrieved data to the user.

[0518] 3. Investment Execution

[0519] The user selects the project they want to invest in, enters the investment amount, and clicks the invest button. The terminal then sends the investment data to the server, which stores the investment information in a database and updates the project's fundraising progress, along with the investment amount and other related data.

[0520] 4. Project progress management and profit return

[0521] The server periodically saves and updates the project's progress in a database. When the project generates revenue through commercial use, the server records the information in the database. The server then calculates the profit based on each investor's investment ratio and reflects the profit in each investor's account. Users can check the returned profit information on their investment history page.

[0522] Specific examples

[0523] For example, suppose user A invests 100,000 yen and user B invests 150,000 yen in a particular generative AI project. If the project is successful and generates 1 million yen in revenue through commercial use, the profits will be distributed based on the investment ratio. The server first calculates each user's investment ratio (e.g., 40% for A, 60% for B), and then determines the amount of return based on this ratio. Therefore, user A will receive 400,000 yen, and user B will receive 600,000 yen. This specific process allows investors to receive profits fairly.

[0524] In this way, the present invention facilitates investment in generative AI projects, thereby promoting the evolution and spread of generative AI. The entire system is user-friendly, and information is provided appropriately to support investment decisions.

[0525] The processing flow will be explained below.

[0526] User Registration and Login

[0527] User Registration

[0528] Step 1:

[0529] The user enters their name, email address, and password into a user registration form on their terminal.

[0530] Step 2:

[0531] The terminal sends the input data to the server as a POST request.

[0532] Step 3:

[0533] The server validates the received data and stores the user information in a database.

[0534] Step 4:

[0535] The server will automatically generate a confirmation email and send it to the specified email address.

[0536] Step 5:

[0537] The user clicks on the link in the confirmation email they receive to activate their account.

[0538] Step 6:

[0539] The server receives the validation request and updates the user status in the database to "validated."

[0540] User Login

[0541] Step 1:

[0542] The user enters their email address and password in the login form and clicks the "Login" button.

[0543] Step 2:

[0544] The terminal sends the input data to the server.

[0545] Step 3:

[0546] The server compares the entered information with the information stored in the database.

[0547] Step 4:

[0548] If the server matches, it generates a session ID and displays a successful login message to the user.

[0549] Project list display

[0550] Step 1:

[0551] After logging in, the user accesses the project list page.

[0552] Step 2:

[0553] The terminal sends a GET request to the server requesting project list data.

[0554] Step 3:

[0555] The server retrieves information about generative artificial intelligence projects currently accepting applications from the database.

[0556] Step 4:

[0557] The server formats the acquired project information and returns it to the device in JSON format.

[0558] Step 5:

[0559] The data acquired by the terminal is displayed on a web page and provided to the user.

[0560] Implementing the investment

[0561] Step 1:

[0562] The user goes to the project details page, enters the investment amount (for example, 100,000 yen), and clicks the invest button.

[0563] Step 2:

[0564] The terminal sends investment data (user ID, project ID, investment amount) to the server via a POST request.

[0565] Step 3:

[0566] The server validates the received data and adds the new investment information to the investment history database.

[0567] Step 4:

[0568] The server updates the cumulative investment amount for the project and saves the progress data in the database.

[0569] Step 5:

[0570] The server returns the updated results to the terminal and displays a message that the investment was successful.

[0571] Project progress management and profit return

[0572] Step 1:

[0573] The server periodically saves and updates the project progress in a database.

[0574] Step 2:

[0575] The server receives revenue information generated from the commercial use of the project.

[0576] Step 3:

[0577] The server calculates the return amount based on each investor's investment ratio.

[0578] Step 4:

[0579] The server updates each investor's account with the calculated profit amount.

[0580] Step 5:

[0581] After logging in, the user goes to their investment history page and checks the returned profit information.

[0582] Example 1

[0583] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0584] In conventional investment systems, the process of investing in specific projects and returning profits was complicated, making the process cumbersome for investors. Furthermore, there were issues with the inability to efficiently obtain information about generative AI projects, manage project progress, or return profits based on investment ratios. This made it difficult for investors to obtain the information they needed to make appropriate investment decisions, potentially resulting in unfair profit distribution.

[0585] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0586] In this invention, the server includes: means for a user to register by entering their name, email address, and password; means for the terminal to send the entered data to the server and store it; means for the server to generate a confirmation email and send it to the user's email address; means for the user to activate their account by clicking on a link in the confirmation email; means for the user to log in by entering their email address and password; means for the terminal to send data to the server for authentication and generate a session ID if authentication is successful; means for the terminal to request project information from the server; means for the server to retrieve project information from a database and provide it to the user terminal; means for the user to make an investment and send the investment information to the server through the terminal; means for the server to store the investment information in a database and update the project's fundraising progress; means for the server to periodically update and store project progress and commercial revenue information; and means for the server to return profits to each investor based on the revenue information. This enables efficient investment in generative artificial intelligence projects and the associated return of profits, and provides users with information for appropriate investment decisions.

[0587] "User registration" is the process of creating an account by entering your name, email address, and password.

[0588] A "terminal" is a device that allows a user to input or receive information, including a computer, smartphone, tablet, etc.

[0589] A "server" is a computer system that collects, stores, and manages data and provides services to users.

[0590] An "HTTP request" is a communication protocol for sending data from a user terminal to a server.

[0591] A MySQL database is a type of relational database management system that allows you to efficiently store, search, and manage data.

[0592] The "SMTP protocol" is a communication protocol for sending email.

[0593] A "confirmation email" is an email sent to a user upon registration to confirm account activation.

[0594] "JWT (JSON Web Token)" is a token that contains user authentication information and serves as a session ID.

[0595] "Project Information" means detailed information about a generative artificial intelligence project, and is data provided to investors.

[0596] "Investment information" refers to the amount of money and detailed project information that a user inputs when investing in a specific project.

[0597] A "Cron job" is a system administration tool for automatically scheduling recurring tasks.

[0598] "Progress update" is the process of updating data to keep the project's progress up to date.

[0599] "Investment ratio" is the percentage of the amount each investor has invested in the project.

[0600] "Return on investment" is the process of distributing the profits generated by a project to investors based on their investment ratio.

[0601] This invention is a system for investing in specific projects and returning the profits to investors. This system is designed to facilitate fundraising for generative AI projects and streamline profit distribution to investors. The basic hardware consists of a terminal, a server, and a database, and the main software tools used are a MySQL database, SMTP protocol, HTTP protocol, JSON Web Token (JWT), and Cron jobs.

[0602] First, the user must register and log in to the system. This involves a registration process where the user enters their name, email address, and password. The entered data is sent from the terminal to the server using an HTTP POST request. The server stores the received data in a MySQL database and simultaneously validates the data. Following this, the server generates a confirmation email using the SMTP protocol and sends it to the user's email address. Once the user clicks on the link in the confirmation email, the account is activated.

[0603] A user logs in by entering their email address and password. The device sends this data to the server, which checks it against information in a database. If there's a match, the server generates a JSON Web Token (JWT) and displays a login success message to the user. This JWT acts as a session ID and keeps the user authenticated.

[0604] After logging in, the user can access the project list page. The device sends a request to the server to retrieve project information. The server queries the information on the generative AI project from the MySQL database, structures it in JSON format, and returns it to the device. The device displays the retrieved data to the user using React.js.

[0605] The user selects the project they want to invest in, enters the investment amount, and clicks the invest button. The terminal sends the investment information to the server via an HTTP POST request. The server stores the investment information in a MySQL database and updates the project's fundraising progress, including calculating the current total investment amount.

[0606] For project progress management and profit return, a Cron job is set up so that the server periodically retrieves project progress data. The server saves the progress data in a MySQL database and updates it as necessary. When profits are generated from commercial use of the project, the server saves the information in the database. The server then calculates profits based on each investor's investment ratio and reflects the profits in each investor's account. Users can check the returned profit information on their investment history page.

[0607] As a concrete example, suppose User A invests 100,000 yen and User B invests 150,000 yen in a particular generative AI project. This information is sent by the terminal to the server, which stores the investment information in a MySQL database. If the project is successful and generates revenue of 1 million yen, the server first calculates each user's investment ratio (40% for User A, 60% for User B). The server then determines the amount of return based on this ratio, returning 400,000 yen to User A and 600,000 yen to User B. This process ensures fair profit distribution.

[0608] The above system will make it easier to invest in generative AI projects, thereby promoting the evolution and spread of generative AI. The entire system is user-friendly and provides appropriate information to support investment decisions.

[0609] Example prompt sentence:

[0610] "Please explain in natural language how to display a list of projects to a generative AI model."

[0611] "Please explain the steps to invest 100,000 yen in a specific generative AI project."

[0612] "Please explain the process of project progress management and profit return with specific examples."

[0613] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0614] Step 1: User Registration

[0615] 1.1 Input

[0616] The user enters their name, email address, and password.

[0617] 1.2 Data Transmission

[0618] The terminal sends the input data to the server using an HTTP POST request.

[0619] 1.3 Data storage

[0620] The server stores the received data in a MySQL database, and at the same time validates the data to ensure there is no invalid data.

[0621] 1.4 Confirmation email sent

[0622] The server uses the SMTP protocol to generate and send a confirmation email containing a confirmation link to the user's email address.

[0623] 1.5 Account Activation

[0624] When a user clicks on the link in the confirmation email, the server detects the click and activates the user's account.

[0625] output

[0626] An enabled user account.

[0627] Step 2: User Login

[0628] 2.1 Input

[0629] The user enters their email address and password into the login form.

[0630] 2.2 Data Transmission

[0631] The terminal sends this data to the server using an HTTP POST request.

[0632] 2.3 Authentication process

[0633] The server checks the information in the database and generates a JWT (JSON Web Token) if it matches, otherwise it returns an error message.

[0634] 2.4 Login success notification

[0635] The server sends the generated JWT to the user and displays a login success message.

[0636] output

[0637] A login success message and a JWT for user authentication.

[0638] Step 3: List projects

[0639] 3.1 Sending a Request

[0640] After logging in, the user accesses the project list page. The terminal sends a request to acquire project information to the server.

[0641] 3.2 Data Acquisition

[0642] The server retrieves information about generative artificial intelligence projects from a MySQL database and structures it in JSON format.

[0643] 3.3 Data Transmission

[0644] The server transmits the structured data to the terminal.

[0645] 3.4 Display Processing

[0646] The device analyzes the acquired data and displays a list of projects to the user using React.js.

[0647] output

[0648] Project list information.

[0649] Step 4: Making the investment

[0650] 4.1 Input

[0651] The user selects the project they want to invest in, enters the investment amount, and clicks the invest button.

[0652] 4.2 Data Transmission

[0653] The terminal sends the input investment information to the server via an HTTP POST request.

[0654] 4.3 Data storage

[0655] The server stores the received investment information in a MySQL database.

[0656] 4.4 Progress Updates

[0657] The server updates the project's funding progress and recalculates the current total investment amount and stores it in the database.

[0658] output

[0659] Updated project funding progress information.

[0660] Step 5: Project progress management and profit return

[0661] 5.1 Progress Data Update

[0662] The server periodically uses a Cron job to retrieve project progress data and store it in a MySQL database.

[0663] 5.2 Revenue Data Storage

[0664] Once a project is commercially successful and generates revenue, the server stores that information in a MySQL database.

[0665] 5.3 Profit calculation

[0666] The server calculates the profit based on the investment ratio of each investor.

[0667] 5.4 Profit return

[0668] The server reflects the calculated profit amount in each investor's account.

[0669] output

[0670] Profit information reflected in investor's account.

[0671] Through the above series of processing steps, this system can efficiently perform user registration, authentication, display of project information, investment execution, progress management, and profit return.

[0672] (Application example 1)

[0673] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0674] While systems existed for investing in specific projects and receiving profits from them, there was a lack of an easy way for users to invest in generative AI projects at the same time as purchasing products on online shopping sites. Furthermore, there was a lack of information available to check investment progress in real time or to support appropriate investment decisions. This led to delays in investment decision-making and made it difficult to find suitable investment targets.

[0675] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0676] In this invention, the server includes means for investing in projects and returning profits to investors, means for acquiring information on generative AI projects and providing that information to users, means for investing in generative AI projects selected by users, means for providing investment options related to products purchased by users, means for managing project progress and returning profits to investors, and means for enabling users to check investment status in real time via a smartphone or head-mounted display. This allows users to have investment options when purchasing products and to check investment progress in real time, enabling them to make quick investment decisions based on appropriate information.

[0677] A "project" is a set of activities and tasks planned and carried out to achieve a specific goal or objective.

[0678] "Investment" is a financial act that involves providing money to a specific project or business with the aim of receiving a share of the results and profits.

[0679] An "investor" is an individual or organization that provides financial support to a particular project or undertaking and has the right to receive the results or benefits of the project or undertaking.

[0680] The "Generative Artificial Intelligence Project" is a research and development project aimed at automatically generating a wide variety of information and content using generative AI technology.

[0681] "User" means an individual or organization that uses this system to obtain project information and make investments.

[0682] "Progress" refers to the state of execution of a particular project or task and the degree of completion.

[0683] "Revenue" is the financial benefit resulting from a particular project or undertaking.

[0684] "Return" means distributing profits to investors in return for the money they provide.

[0685] An "online shopping site" is an online platform for selling and purchasing goods and services over the Internet.

[0686] "Real-time" means that data and information are processed immediately and provided to users almost simultaneously.

[0687] "Investment decision" is the evaluation and decision-making process to determine whether to invest in a particular project or business.

[0688] A "smartphone" is a highly functional mobile device that can run a wide variety of applications in addition to telephone functions.

[0689] A "head-mounted display" is a display device that is worn on the user's head and displays visual information.

[0690] This invention provides an investment support system specialized for online shopping sites. The system includes the following main components:

[0691] 1. User registration and login function

[0692] First, a user registers by entering their name, email address, and password. The device sends this data to the server, which then stores it in a database. A confirmation email is generated and sent to the user's email address, and when the user clicks on the link in the confirmation email, the account is activated. When logging in, the user enters their email address and password and sends them to the server. The server compares the information with the database, and if there is a match, it generates a session ID and displays a login success message to the user.

[0693] 2. Project list display function

[0694] After logging in, the user accesses the project list page. The device sends a request to the server for project information. The server retrieves information about the generative AI project from the database, formats it, and returns it to the device. The device then displays the retrieved data to the user.

[0695] 3. Investment execution function

[0696] The user invests in the generative AI project of their choice. The user selects the project they want to invest in, enters the investment amount, and clicks the invest button. The terminal sends the investment data to the server. The server stores the investment information in a database and updates the project's fundraising progress. At this time, the investment amount and other related data are also recorded.

[0697] 4. Investment option provision function

[0698] When a user purchases a product, they can select an additional pledge option during the checkout process. If a user selects an additional pledge option, the amount will be added to the purchase amount and donated to the specified project.

[0699] 5. Project progress management and profit return function

[0700] The server periodically saves and updates the project's progress in a database. When revenue is generated from the project's commercial use, the server records the information in the database. The server then calculates the profits based on each contributor's investment ratio and reflects the profits in each contributor's account. Users can check the returned profit information on their investment history page.

[0701] 6. Real-time investment status confirmation function

[0702] The server allows users to check the investment status in real time using a smartphone or head-mounted display. To do this, the server periodically updates the project progress, allowing users to instantly access the information they need.

[0703] Hardware and software used

[0704] Hardware: Smartphones, servers

[0705] Software: Flask (Python framework), SQLite (database)

[0706] This allows the system to efficiently handle management and real-time updates of contribution information.

[0707] Examples of concrete examples and prompts

[0708] Examples:

[0709] User A invested 10,000 yen in Generative Artificial Intelligence Project 1, and User B invested 20,000 yen.

[0710] If the project is successful and generates a profit of 300,000 yen, the profits will be distributed based on each user's investment ratio: User A will receive 100,000 yen, and User B will receive 200,000 yen.

[0711] Example prompt sentence:

[0712] "Please enter the amount invested by the user:"

[0713] An additional investment of 10,000 yen has been added.

[0714] Enter your revenue:

[0715] Revenue of 300,000 yen was generated.

[0716] Calculating revenue distribution to each user... Completed. User A received 100,000 yen and User B received 200,000 yen.

[0717] This invention allows users to easily invest in generative AI projects when purchasing products on online shopping sites. Furthermore, the status of investments can be checked in real time, enabling quick and appropriate investment decisions.

[0718] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0719] Step 1:

[0720] A user uses a terminal to enter their name, email address, and password into a user registration form. The terminal sends this data to the server, which stores it in a database. The server then generates a confirmation email and sends it to the user's email address. When the user clicks the link in the confirmation email, the account is activated. Specifically, when a user enters data into the form and presses the submit button, the data is sent to the server in JSON format. The server records the information in the database and sends the confirmation email.

[0721] Step 2:

[0722] The user uses the device to enter their email address and password and clicks the login button. The device sends this to the server. The server compares the information with the database and, if it matches, generates a session ID and displays a login success message to the user. Specifically, the user enters and submits the necessary information on the device's login screen, and the server searches for the relevant user information in the database and authenticates them.

[0723] Step 3:

[0724] After logging in, the user accesses the project list page. The device sends a request to the server for project information. The server retrieves information about generative AI projects from the database, formats it, and returns it to the device. The device then displays the retrieved data to the user. Specifically, the server queries the database for project information, sends the retrieved data to the device in JSON format, and the device displays the received information in a list.

[0725] Step 4:

[0726] The user selects the generative AI project they want to invest in, enters the investment amount, and clicks the invest button. The terminal then sends the investment data to the server. The server then saves the investment information in a database and updates the project's fundraising progress. At this time, the investment amount and other related data are also recorded. Specifically, the user enters the investment amount in the input form on the terminal and presses the send button to send the data to the server, which then records the data in the database.

[0727] Step 5:

[0728] When a user purchases a product, they can select an additional contribution option during the checkout process. If the user selects an additional contribution option, the amount is added to the purchase amount and sent to the specified project along with the original purchase amount. The server records the additional contribution information and updates the database. Specifically, when a user selects a contribution option on the purchase screen and completes the purchase process, the purchase information and investment information are sent to the server, which then records the information in the database.

[0729] Step 6:

[0730] The server periodically saves and updates the project progress in a database. When revenue is generated from the commercial use of the project, the server records the information in the database. The server then calculates profits based on each contributor's investment ratio and reflects the profits in each contributor's account. Users can check the returned profit information on their investment history page. Specifically, the server collects and updates project progress information at specific time intervals and calculates profit distribution based on the revenue information.

[0731] Step 7:

[0732] The server periodically updates the project's progress so that users can check their investment status in real time using their smartphone or head-mounted display. When a user launches the application and checks the progress, the server sends the latest information. Specifically, the user accesses the confirmation page through their device, and the server queries and sends the latest information to the device, enabling real-time checking.

[0733] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0734] This invention combines a system that invests in specific projects and returns profits to investors with an emotion engine that recognizes user emotions. This system is designed to facilitate fundraising for generative AI projects and streamline profit distribution to investors. The emotion engine also analyzes users' emotions and makes investment recommendations and risk assessments based on those emotions, supporting more precise investment decisions.

[0735] System Overview

[0736] The system includes the following major components:

[0737] 1. User registration and login function

[0738] 2. Project list display function

[0739] 3. Investment implementation function

[0740] 4. Project progress management and profit return function

[0741] 5. Emotion Recognition and Analysis Function (Emotion Engine)

[0742] Program processing

[0743] 1. User Registration and Login

[0744] First, a user enters their name, email address, and password into a user registration form. The terminal sends this data to the server, which stores the received data in a database. The server then generates a confirmation email and sends it to the user's email address. When the user clicks the link in the confirmation email, the account is activated. When logging in, the user enters their email address and password, which the terminal sends to the server. The server compares the information with the database, and if there is a match, it generates a session ID and displays a login success message to the user.

[0745] 2. Project list display

[0746] After logging in, the user accesses the project list page. The device sends a request to the server for project information. The server retrieves information about generative AI projects from the database, formats it, and returns it to the device. The device displays the retrieved data to the user.

[0747] 3. Investment Execution

[0748] The user selects the project they want to invest in, enters the investment amount, and clicks the invest button. The terminal then sends the investment data to the server, which stores the investment information in a database and updates the project's fundraising progress, along with the investment amount and other related data.

[0749] 4. Project progress management and profit return

[0750] The server periodically saves and updates the project's progress in a database. When the project generates revenue through commercial use, the server records the information in the database. The server then calculates the profit based on each investor's investment ratio and reflects the profit in each investor's account. Users can check the returned profit information on their investment history page.

[0751] 5. Emotion Recognition and Analysis

[0752] When a user accesses the system, the emotion engine monitors the user's input and behavior in real time and analyzes the user's emotions. For example, if the user is comparing multiple projects, the engine analyzes their facial expressions and verbal input to assess their interest or anxiety about investing. Based on this emotional data, the server recommends investment projects that suit the user's emotions. Furthermore, the emotion engine continuously monitors the user's emotional state and updates investment recommendations according to changes in emotions.

[0753] Specific examples

[0754] For example, suppose user A invests 100,000 yen and user B invests 150,000 yen in a particular generative AI project. If the project is successful and generates 1 million yen in revenue through commercial use, the profits will be distributed based on the investment ratio. The server first calculates each user's investment ratio (e.g., 40% for user A and 60% for user B), and then determines the amount of return based on this ratio. Therefore, user A will receive 400,000 yen, and user B will receive 600,000 yen. This specific process allows investors to receive profits fairly.

[0755] Furthermore, when User A logs into the system, the emotion engine analyzes the user's facial expression and, if it detects that the user is excited, the emotion engine will temporarily not display high-risk investments. Also, if there are doubts about an investment, the emotion engine will recognize that emotion and suggest detailed explanations and low-risk investments.

[0756] In this way, the present invention will facilitate investment in generative AI projects, thereby promoting the evolution and spread of generative AI. The entire system is user-friendly, and it is expected that information will be provided appropriately to support investment decisions.

[0757] The processing flow will be explained below.

[0758] User Registration and Login

[0759] User Registration

[0760] Step 1:

[0761] The user enters their name, email address, and password into a user registration form on their terminal.

[0762] Step 2:

[0763] The terminal sends the input data to the server as a POST request.

[0764] Step 3:

[0765] The server verifies the received data to ensure it is valid.

[0766] Step 4:

[0767] The server stores the user information in a database.

[0768] Step 5:

[0769] The server will automatically generate a confirmation email and send it to the specified email address.

[0770] Step 6:

[0771] The user clicks on the link in the confirmation email they receive to activate their account.

[0772] Step 7:

[0773] The server receives the validation request and updates the user status in the database to "validated."

[0774] User Login

[0775] Step 1:

[0776] The user enters their email address and password in the login form and clicks the "Login" button.

[0777] Step 2:

[0778] The terminal sends the input data to the server.

[0779] Step 3:

[0780] The server compares the entered information with the information stored in the database.

[0781] Step 4:

[0782] If the server matches, it generates a session ID and displays a successful login message to the user.

[0783] Project list display

[0784] Step 1:

[0785] After logging in, the user accesses the project list page.

[0786] Step 2:

[0787] The terminal sends a GET request to the server requesting project list data.

[0788] Step 3:

[0789] The server retrieves information about generative artificial intelligence projects currently accepting applications from the database.

[0790] Step 4:

[0791] The server formats the acquired project information and returns it to the device in JSON format.

[0792] Step 5:

[0793] The data acquired by the terminal is displayed on a web page and provided to the user.

[0794] Implementing the investment

[0795] Step 1:

[0796] The user goes to the project details page, enters the investment amount (for example, 100,000 yen), and clicks the invest button.

[0797] Step 2:

[0798] The terminal sends investment data (user ID, project ID, investment amount) to the server via a POST request.

[0799] Step 3:

[0800] The server validates the received data and stores the investment data in a database.

[0801] Step 4:

[0802] The server updates the cumulative investment amount for the project and saves the progress data in the database.

[0803] Step 5:

[0804] The server returns the updated results to the terminal and displays a message that the investment was successful.

[0805] Project progress management and profit return

[0806] Step 1:

[0807] The server periodically saves and updates the project progress in a database.

[0808] Step 2:

[0809] The server receives revenue information generated from the commercial use of the project.

[0810] Step 3:

[0811] The server calculates the return amount based on each investor's investment ratio.

[0812] Step 4:

[0813] The server updates each investor's account with the calculated profit amount.

[0814] Step 5:

[0815] The user goes to their investment history page and checks the returned profit information.

[0816] Emotion Recognition and Analysis

[0817] Step 1:

[0818] When a user accesses the system, the emotion engine monitors the user's input and behavior in real time.

[0819] Step 2:

[0820] The emotion engine collects user input data (e.g., facial expression recognition, voice analysis, text content).

[0821] Step 3:

[0822] The emotion engine analyzes the user's emotional state based on the collected data.

[0823] Step 4:

[0824] The server proposes investment projects based on the user's emotional data.

[0825] Step 5:

[0826] The emotion engine continuously monitors the user's emotional fluctuations and updates the suggestions accordingly.

[0827] For example, if a user is frowning while looking at a list of projects, the emotion engine will detect anxiety, and the server will prioritize low-risk investments. Conversely, if the user is excited, stable investments will be suggested. This allows users to make investment decisions that are appropriate to their emotional state.

[0828] Example 2

[0829] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0830] Conventional investment systems have problems such as inefficient project fundraising and profit distribution to investors, and a lack of support for investment decisions that take into account user sentiment. As a result, project progress and profit distribution are unclear, leading to lower investor satisfaction.

[0831] The identification processing by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for providing funds to specific projects and returning the profits to investors, means for obtaining information on generative AI projects from a database and providing that information to the user, means for providing funds to generative AI projects selected by the user, means for managing the progress of the projects and returning profits to investors, means for recognizing user emotions in real time and recommending appropriate investment proposals based on the emotions, and means for continuously updating investment recommendations based on user emotion data. This enables efficient fundraising for investment projects and precise investment decisions based on user emotions.

[0832] "Project" refers to a plan or activity to achieve a specific objective.

[0833] "Funding" refers to the act of providing the necessary funds for a project or activity.

[0834] "Sponsor" refers to an individual or organization that provides funding for a particular project or enterprise.

[0835] A "database" refers to a system that systematically stores large amounts of information and makes it easy to search and manipulate.

[0836] "Generative AI" refers to AI that has the ability to learn human knowledge and patterns and generate new content and solutions.

[0837] "Information" refers to a collection of data, facts, or knowledge that has value for a particular purpose or context.

[0838] "User" means any person or entity that uses the System or Services.

[0839] "Emotions" refer to a person's internal psychological state or sensation, and are a response to a particular event or situation.

[0840] "Real-time" refers to immediate response or processing without delay.

[0841] "Recommendation" refers to the act of encouraging others to take a particular action or choice.

[0842] "Progress" refers to how far a particular plan or activity has progressed.

[0843] "Profit" refers to the amount remaining after deducting expenses from revenue.

[0844] "Calculation" refers to the process of using numbers and data to arrive at a specific result.

[0845] "Reflection" refers to the act of applying specific results or data to real-world situations or systems.

[0846] "Comparison" refers to the act of comparing multiple objects to reveal their differences and similarities.

[0847] "Helping" refers to the act of helping others to accomplish a specific action or goal.

[0848] The present invention relates to a system for providing funds to specific projects and returning the profits to investors. How the present invention is implemented will be described in detail below.

[0849] System Configuration

[0850] This system mainly uses the following hardware and software:

[0851] Hardware: Servers (e.g., cloud servers), devices (user PCs and smartphones)

[0852] Software: Database (e.g., Amazon RDS), emotion engine (e.g., Microsoft Azure Emotion API)

[0853] Program processing overview

[0854] The system provides functionality that allows users to invest in generative AI projects and supports investment decisions based on emotions.

[0855] Detailed system description

[0856] 1. User Registration and Login

[0857] The user enters their name, email address, and password into a registration form, which the device sends to the server, which stores the data in a database and generates a confirmation email that is sent to the user's email address. The user clicks on the link in the confirmation email to activate their account.

[0858] 2. Project list display

[0859] After logging in, the user accesses the project list page. The device requests project information from the server, and the server retrieves information about generative AI projects from the database and returns it to the device. The device then displays the retrieved information in a list format.

[0860] 3. Investment Execution

[0861] The user selects the project they want to invest in, enters the investment amount, and clicks the invest button. The terminal sends the investment data to the server, which stores it in a database. The project's fundraising progress is updated, and the new progress information is reflected in the database.

[0862] 4. Project progress management and profit return

[0863] The server periodically saves and updates the project progress in a database. When profits are generated, the server calculates the profits and reflects them in each investor's account. Users can check the profit information on their investment history page.

[0864] 5. Emotion Recognition and Analysis

[0865] When a user accesses the system, the device acquires data on the user's behavior and facial expressions and sends it to the emotion engine. The emotion engine analyzes the user's emotions and returns the results to the server. The server then recommends suitable investments to the user based on the emotion data. The recommendations are continuously updated based on the user's emotional state.

[0866] Specific examples

[0867] For example, if user A invests 100,000 yen and user B invests 150,000 yen in a generative AI project, and the project is successful and generates a profit of 1 million yen, the server will calculate the profit based on the investment ratio. As a result, user A will receive 400,000 yen and user B will receive 600,000 yen. At the same time, the emotion engine analyzes emotions at the time of investment and makes appropriate investment recommendations.

[0868] Prompt Sentence Examples

[0869] Explain how a system that makes it easy to invest in generative artificial intelligence projects makes investment recommendations based on user sentiment.

[0870] As described above, the present invention provides a system that improves the efficiency of fundraising for generative artificial intelligence projects and supports more sophisticated investment decisions by utilizing user emotional data.

[0871] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0872] Step 1:

[0873] User Registration

[0874] The user enters their name, email address, and password and submits the registration form. The terminal sends this data in JSON format to the server. The server receives the entered data and stores it in a database. It then generates a confirmation email and sends it to the specified email address. This email is sent using the SMTP protocol. The input is the user's registration information, and the output is saving the user's information in the database and sending a confirmation email.

[0875] Step 2:

[0876] Account Activation

[0877] When the user clicks on the link in the confirmation email, the device sends an account activation request to the server. The server receives the request and updates the account status of the user in the database as "active." The input is the user's action (clicking on the link), and the output is the updated account status in the database.

[0878] Step 3:

[0879] Login Authentication

[0880] The user enters their email address and password into the login form and submits it. The terminal sends this information to the server. The server checks it against the database information, and if it matches, generates a session ID and sends it to the terminal. The terminal saves the session ID and displays a login success message to the user. The input is the user's login information, and the output is generating a session ID and maintaining the login state.

[0881] Step 4:

[0882] Retrieving and displaying project information

[0883] After logging in, the user accesses the project list page. The terminal sends a project information request in JSON format to the server. The server retrieves the project information from the database and returns the formatted data in JSON format to the terminal. The terminal analyzes the received information and displays the project list to the user. The input is the project information request, and the output is a list of project information.

[0884] Step 5:

[0885] Investment execution

[0886] The user selects a project to invest in, enters the investment amount, and clicks the invest button. The terminal sends the investment data in JSON format to the server. The server saves the received data in the database and updates the project's funding status. The updated information is saved in the database and an investment completion message is sent to the user. The input is the investment data, and the output is the database update and the investment completion message.

[0887] Step 6:

[0888] Project progress management and profit return

[0889] The server periodically updates the database with the project's progress. When profits are generated, the server records the information in the database and calculates the profits of each investor based on their investment ratio. The calculated profits are reflected in each investor's account. Users can check this on their investment history page. The input is project progress data and profit information, and the output is profit calculations and the profits reflected in their accounts.

[0890] Step 7:

[0891] Emotion Recognition and Investment Recommendations

[0892] When a user accesses the system, the terminal captures user behavior (clicks, inputs) and facial expression data via the camera in real time. This data is sent to the emotion engine, where it is analyzed. The server receives the analysis results and recommends investment projects that suit the user's emotional state. It also continuously updates investment recommendations based on the emotion data. The input is the user's behavioral data and facial expression data, and the output is investment recommendations based on emotions.

[0893] (Application example 2)

[0894] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0895] In recent years, investment in generative AI projects has been gaining attention. However, conventional investment systems do not take into account users' emotional changes or risk assessments, making investment decisions difficult and making it difficult for investors to select appropriate investment projects. Furthermore, the procedures for managing the progress of investment projects and distributing profits are complicated, resulting in increased time and costs. This has led to issues such as a decline in the efficiency of investment in generative AI projects and a decline in investor satisfaction.

[0896] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0897] In this invention, the server includes means for investing in specific projects through electronic payments and returning profits to investors, means for acquiring information on generative AI projects and providing that information to users, means for making investments in generative AI projects selected by users through electronic payments, means for managing project progress and returning profits to investors, and means for recognizing users' emotions and making investment recommendations and risk assessments based on those emotions. This allows users to receive recommendations that reflect their emotional state regarding investment projects in real time, improving the accuracy of their investment decisions. Furthermore, automating investment execution and profit return through electronic payments simplifies investment procedures and improves investor satisfaction.

[0898] "Electronic payment" is a general term for payment procedures conducted over the Internet or electronic devices.

[0899] The "Generative Artificial Intelligence Project" is a project that uses artificial intelligence technology to develop and provide new generative and analytical capabilities.

[0900] "Emotion recognition" is a technology that detects a person's emotional state and analyzes that emotional information.

[0901] "Investment recommendation" refers to the act or system of selecting and proposing optimal investments based on the user's needs and emotions.

[0902] "Risk assessment" is the process of analyzing the risks associated with an investment target and evaluating those risks quantitatively or qualitatively.

[0903] "Return of profits" refers to the procedures and methods for distributing investment profits to investors.

[0904] "Project progress management" is the activity of monitoring the progress of a specific project and providing regular updates and reports on that progress.

[0905] This invention combines a system that allows users to invest in specific projects through electronic payments and returns the profits to investors with an emotion engine that recognizes users' emotions. This system is designed to facilitate fundraising for generative AI projects and to efficiently distribute profits to investors.

[0906] System Overview

[0907] The system includes the following main components:

[0908] 1. User registration and login function: This is a function where users can register by entering their name, email address, and password. After registration, the account is activated through email confirmation. Then, users can log in using their email address and password.

[0909] 2. Information provision function for generative AI projects: The server retrieves information about generative AI projects from the database and provides it to users. This information includes project overviews, progress, target amounts, etc.

[0910] 3. Investment execution function by electronic payment: The user inputs the investment amount for the selected project and executes the investment through electronic payment. The server stores this investment data in the database and updates the project's fundraising progress.

[0911] 4. Project progress management and profit return function: The server periodically saves and updates the project progress in the database. When profits are generated, the profits are calculated based on the investment ratio and reflected in the investor's account.

[0912] 5. Emotion Recognition and Analysis Function (Emotion Engine): The server monitors user input and behavior in real time and analyzes the user's emotions. For example, when a user is comparing multiple projects, it analyzes their facial expressions and verbal input to assess their interest or anxiety about investing. Based on this emotional data, it recommends investment projects that fit their emotions.

[0913] Hardware and software used

[0914] The server is equipped with a database system that stores and manages user data. In addition, generative AI models (e.g., GPT-3 and BERT) are used for sentiment analysis. The server uses the Flask framework to build a web application that processes and displays user and investment data. User devices (smartphones, tablets, PCs, etc.) communicate with the server via a web browser or dedicated application to perform various operations.

[0915] Processing flow

[0916] A user accesses the investment platform and checks the overview of a generative AI project. The emotion engine then analyzes the user's facial expressions and input to make investment recommendations. For example, if the user has doubts about a project, the emotion engine will recognize that emotion and suggest more detailed information and lower-risk projects. In this way, users can make more precise investment decisions.

[0917] Specific examples

[0918] For example, suppose User A invests 100,000 yen and User B invests 150,000 yen in a specific generative AI project. If the project is successful and generates 1 million yen in revenue through commercial use, the profits will be distributed based on the investment ratio. Specifically, User A will receive 400,000 yen and User B will receive 600,000 yen.

[0919] Additionally, when a user accesses the system, the emotion engine analyzes the user's input. If the user types, "I'm worried about whether this AI project will really be successful," the emotion engine will recognize the user's anxiety and suggest detailed project information, success stories, and low-risk investment opportunities.

[0920] In this way, the system of the present invention enables smooth investment execution through electronic payments and sophisticated investment decisions using an emotion recognition engine, making it easier to invest in generative AI projects and thereby promoting the evolution and spread of generative AI.

[0921] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0922] Step 1:

[0923] User Registration and Login

[0924] A user registers by entering their name, email address, and password. The device sends this data to the server. The server stores the received data in a database and generates a confirmation email and sends it to the user's email address. When the user clicks the link in the confirmation email, the account is activated. The user then logs in using their email address and password, which the device sends to the server. The server compares the information in the database and, if the login is successful, generates a session ID and displays a login success message to the user.

[0925] Input: User registration information (name, email address, password)

[0926] Data processing: Save user information to database

[0927] Output: Send confirmation email, display login success message

[0928] Step 2:

[0929] Providing information on the Generative Artificial Intelligence Project

[0930] After logging in, the user accesses the project list page. The device sends a request to the server for project information. The server retrieves information about the generative AI project from the database, formats it, and returns it to the device. The device then displays the retrieved data to the user.

[0931] Input: Project Information Request

[0932] Data processing: Retrieving information from the database and formatting it

[0933] Output: Display project information

[0934] Step 3:

[0935] Investment execution through electronic payment

[0936] The user selects the project they want to invest in, enters the investment amount, and clicks the invest button. The terminal sends this investment data to the server, which stores the investment information in a database and updates the project's fundraising progress. The investment amount and other related data are also recorded.

[0937] Input: Investment data (project name, investment amount)

[0938] Data calculation: Saving investment information to a database and updating progress

[0939] Output: Confirmation message for investment completion

[0940] Step 4:

[0941] Project progress management and profit return

[0942] The server periodically saves and updates the project progress in a database. When a project generates revenue, the server records the information in the database, calculates the profit based on each investor's investment ratio, and reflects it in the investor's account. Users can check the returned profit information on their investment history page.

[0943] Input: Project progress data, revenue data

[0944] Data calculation: Calculate profits based on revenue and provide them to investors

[0945] Output: Profit return notification, investment history update

[0946] Step 5:

[0947] Emotion Recognition and Analysis (Emotion Engine)

[0948] When a user accesses the system and checks project information, the emotion engine monitors the user's input and behavior in real time and analyzes the user's emotions. For example, if the user is analyzed as "anxious" through facial expression recognition, the server will use the generative AI model to select the optimal investment recommendation project and suggest it to the user. An example of a prompt sentence is, "I'm worried about whether this AI project will really be successful."

[0949] Input: User input and behavioral data

[0950] Data Processing: Sentiment Analysis with Generative AI Models

[0951] Output: Sentiment-based investment recommendations

[0952] Adding specific examples

[0953] For example, if a user types, "I'm worried about whether this AI project will really succeed," the emotion engine will use the generative AI model to analyze this as "worried." Based on this result, the server will suggest low-risk investments suitable for the user.

[0954] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0955] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0956] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0957] [Third embodiment]

[0958] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0959] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0960] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0961] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0962] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0963] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0964] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0965] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0966] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0967] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0968] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0969] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0970] The present invention is a system for investing in specific projects and returning the profits to investors. This system is designed to facilitate fundraising for generative AI projects and to streamline profit distribution to investors.

[0971] System Overview

[0972] The system includes the following major components:

[0973] 1. User registration and login function

[0974] 2. Project list display function

[0975] 3. Investment implementation function

[0976] 4. Project progress management and profit return function

[0977] Program processing

[0978] 1. User Registration and Login

[0979] First, a user enters their name, email address, and password into a user registration form. The terminal sends this data to the server, which stores the received data in a database. The server then generates a confirmation email and sends it to the user's email address. When the user clicks the link in the confirmation email, the account is activated. When logging in, the user enters their email address and password, which the terminal sends to the server. The server compares the information with the database, and if there is a match, it generates a session ID and displays a login success message to the user.

[0980] 2. Project list display

[0981] After logging in, the user accesses the project list page. The device sends a request to the server for project information. The server retrieves information about generative AI projects from the database, formats it, and returns it to the device. The device displays the retrieved data to the user.

[0982] 3. Investment Execution

[0983] The user selects the project they want to invest in, enters the investment amount, and clicks the invest button. The terminal then sends the investment data to the server, which stores the investment information in a database and updates the project's fundraising progress, along with the investment amount and other related data.

[0984] 4. Project progress management and profit return

[0985] The server periodically saves and updates the project's progress in a database. When the project generates revenue through commercial use, the server records the information in the database. The server then calculates the profit based on each investor's investment ratio and reflects the profit in each investor's account. Users can check the returned profit information on their investment history page.

[0986] Specific examples

[0987] For example, suppose user A invests 100,000 yen and user B invests 150,000 yen in a particular generative AI project. If the project is successful and generates 1 million yen in revenue through commercial use, the profits will be distributed based on the investment ratio. The server first calculates each user's investment ratio (e.g., 40% for A, 60% for B), and then determines the amount of return based on this ratio. Therefore, user A will receive 400,000 yen, and user B will receive 600,000 yen. This specific process allows investors to receive profits fairly.

[0988] In this way, the present invention facilitates investment in generative AI projects, thereby promoting the evolution and spread of generative AI. The entire system is user-friendly, and information is provided appropriately to support investment decisions.

[0989] The processing flow will be explained below.

[0990] User Registration and Login

[0991] User Registration

[0992] Step 1:

[0993] The user enters their name, email address, and password into a user registration form on their terminal.

[0994] Step 2:

[0995] The terminal sends the input data to the server as a POST request.

[0996] Step 3:

[0997] The server validates the received data and stores the user information in a database.

[0998] Step 4:

[0999] The server will automatically generate a confirmation email and send it to the specified email address.

[1000] Step 5:

[1001] The user clicks on the link in the confirmation email they receive to activate their account.

[1002] Step 6:

[1003] The server receives the validation request and updates the user status in the database to "validated."

[1004] User Login

[1005] Step 1:

[1006] The user enters their email address and password in the login form and clicks the "Login" button.

[1007] Step 2:

[1008] The terminal sends the input data to the server.

[1009] Step 3:

[1010] The server compares the entered information with the information stored in the database.

[1011] Step 4:

[1012] If the server matches, it generates a session ID and displays a successful login message to the user.

[1013] Project list display

[1014] Step 1:

[1015] After logging in, the user accesses the project list page.

[1016] Step 2:

[1017] The terminal sends a GET request to the server requesting project list data.

[1018] Step 3:

[1019] The server retrieves information about generative artificial intelligence projects currently accepting applications from the database.

[1020] Step 4:

[1021] The server formats the acquired project information and returns it to the device in JSON format.

[1022] Step 5:

[1023] The data acquired by the terminal is displayed on a web page and provided to the user.

[1024] Implementing the investment

[1025] Step 1:

[1026] The user goes to the project details page, enters the investment amount (for example, 100,000 yen), and clicks the invest button.

[1027] Step 2:

[1028] The terminal sends investment data (user ID, project ID, investment amount) to the server via a POST request.

[1029] Step 3:

[1030] The server validates the received data and adds the new investment information to the investment history database.

[1031] Step 4:

[1032] The server updates the cumulative investment amount for the project and saves the progress data in the database.

[1033] Step 5:

[1034] The server returns the updated results to the terminal and displays a message that the investment was successful.

[1035] Project progress management and profit return

[1036] Step 1:

[1037] The server periodically saves and updates the project progress in a database.

[1038] Step 2:

[1039] The server receives revenue information generated from the commercial use of the project.

[1040] Step 3:

[1041] The server calculates the return amount based on each investor's investment ratio.

[1042] Step 4:

[1043] The server updates each investor's account with the calculated profit amount.

[1044] Step 5:

[1045] After logging in, the user goes to their investment history page and checks the returned profit information.

[1046] Example 1

[1047] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1048] In conventional investment systems, the process of investing in specific projects and returning profits was complicated, making the process cumbersome for investors. Furthermore, there were issues with the inability to efficiently obtain information about generative AI projects, manage project progress, or return profits based on investment ratios. This made it difficult for investors to obtain the information they needed to make appropriate investment decisions, potentially resulting in unfair profit distribution.

[1049] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1050] In this invention, the server includes: means for a user to register by entering their name, email address, and password; means for the terminal to send the entered data to the server and store it; means for the server to generate a confirmation email and send it to the user's email address; means for the user to activate their account by clicking on a link in the confirmation email; means for the user to log in by entering their email address and password; means for the terminal to send data to the server for authentication and generate a session ID if authentication is successful; means for the terminal to request project information from the server; means for the server to retrieve project information from a database and provide it to the user terminal; means for the user to make an investment and send the investment information to the server through the terminal; means for the server to store the investment information in a database and update the project's fundraising progress; means for the server to periodically update and store project progress and commercial revenue information; and means for the server to return profits to each investor based on the revenue information. This enables efficient investment in generative artificial intelligence projects and the associated return of profits, and provides users with information for appropriate investment decisions.

[1051] "User registration" is the process of creating an account by entering your name, email address, and password.

[1052] A "terminal" is a device that allows a user to input or receive information, including a computer, smartphone, tablet, etc.

[1053] A "server" is a computer system that collects, stores, and manages data and provides services to users.

[1054] An "HTTP request" is a communication protocol for sending data from a user terminal to a server.

[1055] A MySQL database is a type of relational database management system that allows you to efficiently store, search, and manage data.

[1056] The "SMTP protocol" is a communication protocol for sending email.

[1057] A "confirmation email" is an email sent to a user upon registration to confirm account activation.

[1058] "JWT (JSON Web Token)" is a token that contains user authentication information and serves as a session ID.

[1059] "Project Information" means detailed information about a generative artificial intelligence project, and is data provided to investors.

[1060] "Investment information" refers to the amount of money and detailed project information that a user inputs when investing in a specific project.

[1061] A "Cron job" is a system administration tool for automatically scheduling recurring tasks.

[1062] "Progress update" is the process of updating data to keep the project's progress up to date.

[1063] "Investment ratio" is the percentage of the amount each investor has invested in the project.

[1064] "Return on investment" is the process of distributing the profits generated by a project to investors based on their investment ratio.

[1065] This invention is a system for investing in specific projects and returning the profits to investors. This system is designed to facilitate fundraising for generative AI projects and streamline profit distribution to investors. The basic hardware consists of a terminal, a server, and a database, and the main software tools used are a MySQL database, SMTP protocol, HTTP protocol, JSON Web Token (JWT), and Cron jobs.

[1066] First, the user must register and log in to the system. This involves a registration process where the user enters their name, email address, and password. The entered data is sent from the terminal to the server using an HTTP POST request. The server stores the received data in a MySQL database and simultaneously validates the data. Following this, the server generates a confirmation email using the SMTP protocol and sends it to the user's email address. Once the user clicks on the link in the confirmation email, the account is activated.

[1067] A user logs in by entering their email address and password. The device sends this data to the server, which checks it against information in a database. If there's a match, the server generates a JSON Web Token (JWT) and displays a login success message to the user. This JWT acts as a session ID and keeps the user authenticated.

[1068] After logging in, the user can access the project list page. The device sends a request to the server to retrieve project information. The server queries the information on the generative AI project from the MySQL database, structures it in JSON format, and returns it to the device. The device displays the retrieved data to the user using React.js.

[1069] The user selects the project they want to invest in, enters the investment amount, and clicks the invest button. The terminal sends the investment information to the server via an HTTP POST request. The server stores the investment information in a MySQL database and updates the project's fundraising progress, including calculating the current total investment amount.

[1070] For project progress management and profit return, a Cron job is set up so that the server periodically retrieves project progress data. The server saves the progress data in a MySQL database and updates it as necessary. When profits are generated from commercial use of the project, the server saves the information in the database. The server then calculates profits based on each investor's investment ratio and reflects the profits in each investor's account. Users can check the returned profit information on their investment history page.

[1071] As a concrete example, suppose User A invests 100,000 yen and User B invests 150,000 yen in a particular generative AI project. This information is sent by the terminal to the server, which stores the investment information in a MySQL database. If the project is successful and generates revenue of 1 million yen, the server first calculates each user's investment ratio (40% for User A, 60% for User B). The server then determines the amount of return based on this ratio, returning 400,000 yen to User A and 600,000 yen to User B. This process ensures fair profit distribution.

[1072] The above system will make it easier to invest in generative AI projects, thereby promoting the evolution and spread of generative AI. The entire system is user-friendly and provides appropriate information to support investment decisions.

[1073] Example prompt sentence:

[1074] "Please explain in natural language how to display a list of projects to a generative AI model."

[1075] "Please explain the steps to invest 100,000 yen in a specific generative AI project."

[1076] "Please explain the process of project progress management and profit return with specific examples."

[1077] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1078] Step 1: User Registration

[1079] 1.1 Input

[1080] The user enters their name, email address, and password.

[1081] 1.2 Data Transmission

[1082] The terminal sends the input data to the server using an HTTP POST request.

[1083] 1.3 Data storage

[1084] The server stores the received data in a MySQL database, and at the same time validates the data to ensure there is no invalid data.

[1085] 1.4 Confirmation email sent

[1086] The server uses the SMTP protocol to generate and send a confirmation email containing a confirmation link to the user's email address.

[1087] 1.5 Account Activation

[1088] When a user clicks on the link in the confirmation email, the server detects the click and activates the user's account.

[1089] output

[1090] An enabled user account.

[1091] Step 2: User Login

[1092] 2.1 Input

[1093] The user enters their email address and password into the login form.

[1094] 2.2 Data Transmission

[1095] The terminal sends this data to the server using an HTTP POST request.

[1096] 2.3 Authentication process

[1097] The server checks the information in the database and generates a JWT (JSON Web Token) if it matches, otherwise it returns an error message.

[1098] 2.4 Login success notification

[1099] The server sends the generated JWT to the user and displays a login success message.

[1100] output

[1101] A login success message and a JWT for user authentication.

[1102] Step 3: List projects

[1103] 3.1 Sending a Request

[1104] After logging in, the user accesses the project list page. The terminal sends a request to acquire project information to the server.

[1105] 3.2 Data Acquisition

[1106] The server retrieves information about generative artificial intelligence projects from a MySQL database and structures it in JSON format.

[1107] 3.3 Data Transmission

[1108] The server transmits the structured data to the terminal.

[1109] 3.4 Display Processing

[1110] The device analyzes the acquired data and displays a list of projects to the user using React.js.

[1111] output

[1112] Project list information.

[1113] Step 4: Making the investment

[1114] 4.1 Input

[1115] The user selects the project they want to invest in, enters the investment amount, and clicks the invest button.

[1116] 4.2 Data Transmission

[1117] The terminal sends the input investment information to the server via an HTTP POST request.

[1118] 4.3 Data storage

[1119] The server stores the received investment information in a MySQL database.

[1120] 4.4 Progress Updates

[1121] The server updates the project's funding progress and recalculates the current total investment amount and stores it in the database.

[1122] output

[1123] Updated project funding progress information.

[1124] Step 5: Project progress management and profit return

[1125] 5.1 Progress Data Update

[1126] The server periodically uses a Cron job to retrieve project progress data and store it in a MySQL database.

[1127] 5.2 Revenue Data Storage

[1128] Once a project is commercially successful and generates revenue, the server stores that information in a MySQL database.

[1129] 5.3 Profit calculation

[1130] The server calculates the profit based on the investment ratio of each investor.

[1131] 5.4 Profit return

[1132] The server reflects the calculated profit amount in each investor's account.

[1133] output

[1134] Profit information reflected in investor's account.

[1135] Through the above series of processing steps, this system can efficiently perform user registration, authentication, display of project information, investment execution, progress management, and profit return.

[1136] (Application example 1)

[1137] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1138] While systems existed for investing in specific projects and receiving profits from them, there was a lack of an easy way for users to invest in generative AI projects at the same time as purchasing products on online shopping sites. Furthermore, there was a lack of information available to check investment progress in real time or to support appropriate investment decisions. This led to delays in investment decision-making and made it difficult to find suitable investment targets.

[1139] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1140] In this invention, the server includes means for investing in projects and returning profits to investors, means for acquiring information on generative AI projects and providing that information to users, means for investing in generative AI projects selected by users, means for providing investment options related to products purchased by users, means for managing project progress and returning profits to investors, and means for enabling users to check investment status in real time via a smartphone or head-mounted display. This allows users to have investment options when purchasing products and to check investment progress in real time, enabling them to make quick investment decisions based on appropriate information.

[1141] A "project" is a set of activities and tasks planned and carried out to achieve a specific goal or objective.

[1142] "Investment" is a financial act that involves providing money to a specific project or business with the aim of receiving a share of the results and profits.

[1143] An "investor" is an individual or organization that provides financial support to a particular project or undertaking and has the right to receive the results or benefits of the project or undertaking.

[1144] The "Generative Artificial Intelligence Project" is a research and development project aimed at automatically generating a wide variety of information and content using generative AI technology.

[1145] "User" means an individual or organization that uses this system to obtain project information and make investments.

[1146] "Progress" refers to the state of execution of a particular project or task and the degree of completion.

[1147] "Revenue" is the financial benefit resulting from a particular project or undertaking.

[1148] "Return" means distributing profits to investors in return for the money they provide.

[1149] An "online shopping site" is an online platform for selling and purchasing goods and services over the Internet.

[1150] "Real-time" means that data and information are processed immediately and provided to users almost simultaneously.

[1151] "Investment decision" is the evaluation and decision-making process to determine whether to invest in a particular project or business.

[1152] A "smartphone" is a highly functional mobile device that can run a wide variety of applications in addition to telephone functions.

[1153] A "head-mounted display" is a display device that is worn on the user's head and displays visual information.

[1154] This invention provides an investment support system specialized for online shopping sites. The system includes the following main components:

[1155] 1. User registration and login function

[1156] First, a user registers by entering their name, email address, and password. The device sends this data to the server, which then stores it in a database. A confirmation email is generated and sent to the user's email address, and when the user clicks on the link in the confirmation email, the account is activated. When logging in, the user enters their email address and password and sends them to the server. The server compares the information with the database, and if there is a match, it generates a session ID and displays a login success message to the user.

[1157] 2. Project list display function

[1158] After logging in, the user accesses the project list page. The device sends a request to the server for project information. The server retrieves information about the generative AI project from the database, formats it, and returns it to the device. The device then displays the retrieved data to the user.

[1159] 3. Investment execution function

[1160] The user invests in the generative AI project of their choice. The user selects the project they want to invest in, enters the investment amount, and clicks the invest button. The terminal sends the investment data to the server. The server stores the investment information in a database and updates the project's fundraising progress. At this time, the investment amount and other related data are also recorded.

[1161] 4. Investment option provision function

[1162] When a user purchases a product, they can select an additional pledge option during the checkout process. If a user selects an additional pledge option, the amount will be added to the purchase amount and donated to the specified project.

[1163] 5. Project progress management and profit return function

[1164] The server periodically saves and updates the project's progress in a database. When revenue is generated from the project's commercial use, the server records the information in the database. The server then calculates the profits based on each contributor's investment ratio and reflects the profits in each contributor's account. Users can check the returned profit information on their investment history page.

[1165] 6. Real-time investment status confirmation function

[1166] The server allows users to check the investment status in real time using a smartphone or head-mounted display. To do this, the server periodically updates the project progress, allowing users to instantly access the information they need.

[1167] Hardware and software used

[1168] Hardware: Smartphones, servers

[1169] Software: Flask (Python framework), SQLite (database)

[1170] This allows the system to efficiently handle management and real-time updates of contribution information.

[1171] Examples of concrete examples and prompts

[1172] Examples:

[1173] User A invested 10,000 yen in Generative Artificial Intelligence Project 1, and User B invested 20,000 yen.

[1174] If the project is successful and generates a profit of 300,000 yen, the profits will be distributed based on each user's investment ratio: User A will receive 100,000 yen, and User B will receive 200,000 yen.

[1175] Example prompt sentence:

[1176] "Please enter the amount invested by the user:"

[1177] An additional investment of 10,000 yen has been added.

[1178] Enter your revenue:

[1179] Revenue of 300,000 yen was generated.

[1180] Calculating revenue distribution to each user... Completed. User A received 100,000 yen and User B received 200,000 yen.

[1181] This invention allows users to easily invest in generative AI projects when purchasing products on online shopping sites. Furthermore, the status of investments can be checked in real time, enabling quick and appropriate investment decisions.

[1182] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1183] Step 1:

[1184] A user uses a terminal to enter their name, email address, and password into a user registration form. The terminal sends this data to the server, which stores it in a database. The server then generates a confirmation email and sends it to the user's email address. When the user clicks the link in the confirmation email, the account is activated. Specifically, when a user enters data into the form and presses the submit button, the data is sent to the server in JSON format. The server records the information in the database and sends the confirmation email.

[1185] Step 2:

[1186] The user uses the device to enter their email address and password and clicks the login button. The device sends this to the server. The server compares the information with the database and, if it matches, generates a session ID and displays a login success message to the user. Specifically, the user enters and submits the necessary information on the device's login screen, and the server searches for the relevant user information in the database and authenticates them.

[1187] Step 3:

[1188] After logging in, the user accesses the project list page. The device sends a request to the server for project information. The server retrieves information about generative AI projects from the database, formats it, and returns it to the device. The device then displays the retrieved data to the user. Specifically, the server queries the database for project information, sends the retrieved data to the device in JSON format, and the device displays the received information in a list.

[1189] Step 4:

[1190] The user selects the generative AI project they want to invest in, enters the investment amount, and clicks the invest button. The terminal then sends the investment data to the server. The server then saves the investment information in a database and updates the project's fundraising progress. At this time, the investment amount and other related data are also recorded. Specifically, the user enters the investment amount in the input form on the terminal and presses the send button to send the data to the server, which then records the data in the database.

[1191] Step 5:

[1192] When a user purchases a product, they can select an additional contribution option during the checkout process. If the user selects an additional contribution option, the amount is added to the purchase amount and sent to the specified project along with the original purchase amount. The server records the additional contribution information and updates the database. Specifically, when a user selects a contribution option on the purchase screen and completes the purchase process, the purchase information and investment information are sent to the server, which then records the information in the database.

[1193] Step 6:

[1194] The server periodically saves and updates the project progress in a database. When revenue is generated from the commercial use of the project, the server records the information in the database. The server then calculates profits based on each contributor's investment ratio and reflects the profits in each contributor's account. Users can check the returned profit information on their investment history page. Specifically, the server collects and updates project progress information at specific time intervals and calculates profit distribution based on the revenue information.

[1195] Step 7:

[1196] The server periodically updates the project's progress so that users can check their investment status in real time using their smartphone or head-mounted display. When a user launches the application and checks the progress, the server sends the latest information. Specifically, the user accesses the confirmation page through their device, and the server queries and sends the latest information to the device, enabling real-time checking.

[1197] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1198] This invention combines a system that invests in specific projects and returns profits to investors with an emotion engine that recognizes user emotions. This system is designed to facilitate fundraising for generative AI projects and streamline profit distribution to investors. The emotion engine also analyzes users' emotions and makes investment recommendations and risk assessments based on those emotions, supporting more precise investment decisions.

[1199] System Overview

[1200] The system includes the following major components:

[1201] 1. User registration and login function

[1202] 2. Project list display function

[1203] 3. Investment implementation function

[1204] 4. Project progress management and profit return function

[1205] 5. Emotion Recognition and Analysis Function (Emotion Engine)

[1206] Program processing

[1207] 1. User Registration and Login

[1208] First, a user enters their name, email address, and password into a user registration form. The terminal sends this data to the server, which stores the received data in a database. The server then generates a confirmation email and sends it to the user's email address. When the user clicks the link in the confirmation email, the account is activated. When logging in, the user enters their email address and password, which the terminal sends to the server. The server compares the information with the database, and if there is a match, it generates a session ID and displays a login success message to the user.

[1209] 2. Project list display

[1210] After logging in, the user accesses the project list page. The device sends a request to the server for project information. The server retrieves information about generative AI projects from the database, formats it, and returns it to the device. The device displays the retrieved data to the user.

[1211] 3. Investment Execution

[1212] The user selects the project they want to invest in, enters the investment amount, and clicks the invest button. The terminal then sends the investment data to the server, which stores the investment information in a database and updates the project's fundraising progress, along with the investment amount and other related data.

[1213] 4. Project progress management and profit return

[1214] The server periodically saves and updates the project's progress in a database. When the project generates revenue through commercial use, the server records the information in the database. The server then calculates the profit based on each investor's investment ratio and reflects the profit in each investor's account. Users can check the returned profit information on their investment history page.

[1215] 5. Emotion Recognition and Analysis

[1216] When a user accesses the system, the emotion engine monitors the user's input and behavior in real time and analyzes the user's emotions. For example, if the user is comparing multiple projects, the engine analyzes their facial expressions and verbal input to assess their interest or anxiety about investing. Based on this emotional data, the server recommends investment projects that suit the user's emotions. Furthermore, the emotion engine continuously monitors the user's emotional state and updates investment recommendations according to changes in emotions.

[1217] Specific examples

[1218] For example, suppose user A invests 100,000 yen and user B invests 150,000 yen in a particular generative AI project. If the project is successful and generates 1 million yen in revenue through commercial use, the profits will be distributed based on the investment ratio. The server first calculates each user's investment ratio (e.g., 40% for user A and 60% for user B), and then determines the amount of return based on this ratio. Therefore, user A will receive 400,000 yen, and user B will receive 600,000 yen. This specific process allows investors to receive profits fairly.

[1219] Furthermore, when User A logs into the system, the emotion engine analyzes the user's facial expression and, if it detects that the user is excited, the emotion engine will temporarily not display high-risk investments. Also, if there are doubts about an investment, the emotion engine will recognize that emotion and suggest detailed explanations and low-risk investments.

[1220] In this way, the present invention will facilitate investment in generative AI projects, thereby promoting the evolution and spread of generative AI. The entire system is user-friendly, and it is expected that information will be provided appropriately to support investment decisions.

[1221] The processing flow will be explained below.

[1222] User Registration and Login

[1223] User Registration

[1224] Step 1:

[1225] The user enters their name, email address, and password into a user registration form on their terminal.

[1226] Step 2:

[1227] The terminal sends the input data to the server as a POST request.

[1228] Step 3:

[1229] The server verifies the received data to ensure it is valid.

[1230] Step 4:

[1231] The server stores the user information in a database.

[1232] Step 5:

[1233] The server will automatically generate a confirmation email and send it to the specified email address.

[1234] Step 6:

[1235] The user clicks on the link in the confirmation email they receive to activate their account.

[1236] Step 7:

[1237] The server receives the validation request and updates the user status in the database to "validated."

[1238] User Login

[1239] Step 1:

[1240] The user enters their email address and password in the login form and clicks the "Login" button.

[1241] Step 2:

[1242] The terminal sends the input data to the server.

[1243] Step 3:

[1244] The server compares the entered information with the information stored in the database.

[1245] Step 4:

[1246] If the server matches, it generates a session ID and displays a successful login message to the user.

[1247] Project list display

[1248] Step 1:

[1249] After logging in, the user accesses the project list page.

[1250] Step 2:

[1251] The terminal sends a GET request to the server requesting project list data.

[1252] Step 3:

[1253] The server retrieves information about generative artificial intelligence projects currently accepting applications from the database.

[1254] Step 4:

[1255] The server formats the acquired project information and returns it to the device in JSON format.

[1256] Step 5:

[1257] The data acquired by the terminal is displayed on a web page and provided to the user.

[1258] Implementing the investment

[1259] Step 1:

[1260] The user goes to the project details page, enters the investment amount (for example, 100,000 yen), and clicks the invest button.

[1261] Step 2:

[1262] The terminal sends investment data (user ID, project ID, investment amount) to the server via a POST request.

[1263] Step 3:

[1264] The server validates the received data and stores the investment data in a database.

[1265] Step 4:

[1266] The server updates the cumulative investment amount for the project and saves the progress data in the database.

[1267] Step 5:

[1268] The server returns the updated results to the terminal and displays a message that the investment was successful.

[1269] Project progress management and profit return

[1270] Step 1:

[1271] The server periodically saves and updates the project progress in a database.

[1272] Step 2:

[1273] The server receives revenue information generated from the commercial use of the project.

[1274] Step 3:

[1275] The server calculates the return amount based on each investor's investment ratio.

[1276] Step 4:

[1277] The server updates each investor's account with the calculated profit amount.

[1278] Step 5:

[1279] The user goes to their investment history page and checks the returned profit information.

[1280] Emotion Recognition and Analysis

[1281] Step 1:

[1282] When a user accesses the system, the emotion engine monitors the user's input and behavior in real time.

[1283] Step 2:

[1284] The emotion engine collects user input data (e.g., facial expression recognition, voice analysis, text content).

[1285] Step 3:

[1286] The emotion engine analyzes the user's emotional state based on the collected data.

[1287] Step 4:

[1288] The server proposes investment projects based on the user's emotional data.

[1289] Step 5:

[1290] The emotion engine continuously monitors the user's emotional fluctuations and updates the suggestions accordingly.

[1291] For example, if a user is frowning while looking at a list of projects, the emotion engine will detect anxiety, and the server will prioritize low-risk investments. Conversely, if the user is excited, stable investments will be suggested. This allows users to make investment decisions that are appropriate to their emotional state.

[1292] Example 2

[1293] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1294] Conventional investment systems have problems such as inefficient project fundraising and profit distribution to investors, and a lack of support for investment decisions that take into account user sentiment. As a result, project progress and profit distribution are unclear, leading to lower investor satisfaction.

[1295] The identification processing by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for providing funds to specific projects and returning the profits to investors, means for obtaining information on generative AI projects from a database and providing that information to the user, means for providing funds to generative AI projects selected by the user, means for managing the progress of the projects and returning profits to investors, means for recognizing user emotions in real time and recommending appropriate investment proposals based on the emotions, and means for continuously updating investment recommendations based on user emotion data. This enables efficient fundraising for investment projects and precise investment decisions based on user emotions.

[1296] "Project" refers to a plan or activity to achieve a specific objective.

[1297] "Funding" refers to the act of providing the necessary funds for a project or activity.

[1298] "Sponsor" refers to an individual or organization that provides funding for a particular project or enterprise.

[1299] A "database" refers to a system that systematically stores large amounts of information and makes it easy to search and manipulate.

[1300] "Generative AI" refers to AI that has the ability to learn human knowledge and patterns and generate new content and solutions.

[1301] "Information" refers to a collection of data, facts, or knowledge that has value for a particular purpose or context.

[1302] "User" means any person or entity that uses the System or Services.

[1303] "Emotions" refer to a person's internal psychological state or sensation, and are a response to a particular event or situation.

[1304] "Real-time" refers to immediate response or processing without delay.

[1305] "Recommendation" refers to the act of encouraging others to take a particular action or choice.

[1306] "Progress" refers to how far a particular plan or activity has progressed.

[1307] "Profit" refers to the amount remaining after deducting expenses from revenue.

[1308] "Calculation" refers to the process of using numbers and data to arrive at a specific result.

[1309] "Reflection" refers to the act of applying specific results or data to real-world situations or systems.

[1310] "Comparison" refers to the act of comparing multiple objects to reveal their differences and similarities.

[1311] "Helping" refers to the act of helping others to accomplish a specific action or goal.

[1312] The present invention relates to a system for providing funds to specific projects and returning the profits to investors. How the present invention is implemented will be described in detail below.

[1313] System Configuration

[1314] This system mainly uses the following hardware and software:

[1315] Hardware: Servers (e.g., cloud servers), devices (user PCs and smartphones)

[1316] Software: Database (e.g., Amazon RDS), emotion engine (e.g., Microsoft Azure Emotion API)

[1317] Program processing overview

[1318] The system provides functionality that allows users to invest in generative AI projects and supports investment decisions based on emotions.

[1319] Detailed system description

[1320] 1. User Registration and Login

[1321] The user enters their name, email address, and password into a registration form, which the device sends to the server, which stores the data in a database and generates a confirmation email that is sent to the user's email address. The user clicks on the link in the confirmation email to activate their account.

[1322] 2. Project list display

[1323] After logging in, the user accesses the project list page. The device requests project information from the server, and the server retrieves information about generative AI projects from the database and returns it to the device. The device then displays the retrieved information in a list format.

[1324] 3. Investment Execution

[1325] The user selects the project they want to invest in, enters the investment amount, and clicks the invest button. The terminal sends the investment data to the server, which stores it in a database. The project's fundraising progress is updated, and the new progress information is reflected in the database.

[1326] 4. Project progress management and profit return

[1327] The server periodically saves and updates the project progress in a database. When profits are generated, the server calculates the profits and reflects them in each investor's account. Users can check the profit information on their investment history page.

[1328] 5. Emotion Recognition and Analysis

[1329] When a user accesses the system, the device acquires data on the user's behavior and facial expressions and sends it to the emotion engine. The emotion engine analyzes the user's emotions and returns the results to the server. The server then recommends suitable investments to the user based on the emotion data. The recommendations are continuously updated based on the user's emotional state.

[1330] Specific examples

[1331] For example, if user A invests 100,000 yen and user B invests 150,000 yen in a generative AI project, and the project is successful and generates a profit of 1 million yen, the server will calculate the profit based on the investment ratio. As a result, user A will receive 400,000 yen and user B will receive 600,000 yen. At the same time, the emotion engine analyzes emotions at the time of investment and makes appropriate investment recommendations.

[1332] Prompt Sentence Examples

[1333] Explain how a system that makes it easy to invest in generative artificial intelligence projects makes investment recommendations based on user sentiment.

[1334] As described above, the present invention provides a system that improves the efficiency of fundraising for generative artificial intelligence projects and supports more sophisticated investment decisions by utilizing user emotional data.

[1335] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1336] Step 1:

[1337] User Registration

[1338] The user enters their name, email address, and password and submits the registration form. The terminal sends this data in JSON format to the server. The server receives the entered data and stores it in a database. It then generates a confirmation email and sends it to the specified email address. This email is sent using the SMTP protocol. The input is the user's registration information, and the output is saving the user's information in the database and sending a confirmation email.

[1339] Step 2:

[1340] Account Activation

[1341] When the user clicks on the link in the confirmation email, the device sends an account activation request to the server. The server receives the request and updates the account status of the user in the database as "active." The input is the user's action (clicking on the link), and the output is the updated account status in the database.

[1342] Step 3:

[1343] Login Authentication

[1344] The user enters their email address and password into the login form and submits it. The terminal sends this information to the server. The server checks it against the database information, and if it matches, generates a session ID and sends it to the terminal. The terminal saves the session ID and displays a login success message to the user. The input is the user's login information, and the output is generating a session ID and maintaining the login state.

[1345] Step 4:

[1346] Retrieving and displaying project information

[1347] After logging in, the user accesses the project list page. The terminal sends a project information request in JSON format to the server. The server retrieves the project information from the database and returns the formatted data in JSON format to the terminal. The terminal analyzes the received information and displays the project list to the user. The input is the project information request, and the output is a list of project information.

[1348] Step 5:

[1349] Investment execution

[1350] The user selects a project to invest in, enters the investment amount, and clicks the invest button. The terminal sends the investment data in JSON format to the server. The server saves the received data in the database and updates the project's funding status. The updated information is saved in the database and an investment completion message is sent to the user. The input is the investment data, and the output is the database update and the investment completion message.

[1351] Step 6:

[1352] Project progress management and profit return

[1353] The server periodically updates the database with the project's progress. When profits are generated, the server records the information in the database and calculates the profits of each investor based on their investment ratio. The calculated profits are reflected in each investor's account. Users can check this on their investment history page. The input is project progress data and profit information, and the output is profit calculations and the profits reflected in their accounts.

[1354] Step 7:

[1355] Emotion Recognition and Investment Recommendations

[1356] When a user accesses the system, the terminal captures user behavior (clicks, inputs) and facial expression data via the camera in real time. This data is sent to the emotion engine, where it is analyzed. The server receives the analysis results and recommends investment projects that suit the user's emotional state. It also continuously updates investment recommendations based on the emotion data. The input is the user's behavioral data and facial expression data, and the output is investment recommendations based on emotions.

[1357] (Application example 2)

[1358] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1359] In recent years, investment in generative AI projects has been gaining attention. However, conventional investment systems do not take into account users' emotional changes or risk assessments, making investment decisions difficult and making it difficult for investors to select appropriate investment projects. Furthermore, the procedures for managing the progress of investment projects and distributing profits are complicated, resulting in increased time and costs. This has led to issues such as a decline in the efficiency of investment in generative AI projects and a decline in investor satisfaction.

[1360] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1361] In this invention, the server includes means for investing in specific projects through electronic payments and returning profits to investors, means for acquiring information on generative AI projects and providing that information to users, means for making investments in generative AI projects selected by users through electronic payments, means for managing project progress and returning profits to investors, and means for recognizing users' emotions and making investment recommendations and risk assessments based on those emotions. This allows users to receive recommendations that reflect their emotional state regarding investment projects in real time, improving the accuracy of their investment decisions. Furthermore, automating investment execution and profit return through electronic payments simplifies investment procedures and improves investor satisfaction.

[1362] "Electronic payment" is a general term for payment procedures conducted over the Internet or electronic devices.

[1363] The "Generative Artificial Intelligence Project" is a project that uses artificial intelligence technology to develop and provide new generative and analytical capabilities.

[1364] "Emotion recognition" is a technology that detects a person's emotional state and analyzes that emotional information.

[1365] "Investment recommendation" refers to the act or system of selecting and proposing optimal investments based on the user's needs and emotions.

[1366] "Risk assessment" is the process of analyzing the risks associated with an investment target and evaluating those risks quantitatively or qualitatively.

[1367] "Return of profits" refers to the procedures and methods for distributing investment profits to investors.

[1368] "Project progress management" is the activity of monitoring the progress of a specific project and providing regular updates and reports on that progress.

[1369] This invention combines a system that allows users to invest in specific projects through electronic payments and returns the profits to investors with an emotion engine that recognizes users' emotions. This system is designed to facilitate fundraising for generative AI projects and to efficiently distribute profits to investors.

[1370] System Overview

[1371] The system includes the following main components:

[1372] 1. User registration and login function: This is a function where users can register by entering their name, email address, and password. After registration, the account is activated through email confirmation. Then, users can log in using their email address and password.

[1373] 2. Information provision function for generative AI projects: The server retrieves information about generative AI projects from the database and provides it to users. This information includes project overviews, progress, target amounts, etc.

[1374] 3. Investment execution function by electronic payment: The user inputs the investment amount for the selected project and executes the investment through electronic payment. The server stores this investment data in the database and updates the project's fundraising progress.

[1375] 4. Project progress management and profit return function: The server periodically saves and updates the project progress in the database. When profits are generated, the profits are calculated based on the investment ratio and reflected in the investor's account.

[1376] 5. Emotion Recognition and Analysis Function (Emotion Engine): The server monitors user input and behavior in real time and analyzes the user's emotions. For example, when a user is comparing multiple projects, it analyzes their facial expressions and verbal input to assess their interest or anxiety about investing. Based on this emotional data, it recommends investment projects that fit their emotions.

[1377] Hardware and software used

[1378] The server is equipped with a database system that stores and manages user data. In addition, generative AI models (e.g., GPT-3 and BERT) are used for sentiment analysis. The server uses the Flask framework to build a web application that processes and displays user and investment data. User devices (smartphones, tablets, PCs, etc.) communicate with the server via a web browser or dedicated application to perform various operations.

[1379] Processing flow

[1380] A user accesses the investment platform and checks the overview of a generative AI project. The emotion engine then analyzes the user's facial expressions and input to make investment recommendations. For example, if the user has doubts about a project, the emotion engine will recognize that emotion and suggest more detailed information and lower-risk projects. In this way, users can make more precise investment decisions.

[1381] Specific examples

[1382] For example, suppose User A invests 100,000 yen and User B invests 150,000 yen in a specific generative AI project. If the project is successful and generates 1 million yen in revenue through commercial use, the profits will be distributed based on the investment ratio. Specifically, User A will receive 400,000 yen and User B will receive 600,000 yen.

[1383] Additionally, when a user accesses the system, the emotion engine analyzes the user's input. If the user types, "I'm worried about whether this AI project will really be successful," the emotion engine will recognize the user's anxiety and suggest detailed project information, success stories, and low-risk investment opportunities.

[1384] In this way, the system of the present invention enables smooth investment execution through electronic payments and sophisticated investment decisions using an emotion recognition engine, making it easier to invest in generative AI projects and thereby promoting the evolution and spread of generative AI.

[1385] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1386] Step 1:

[1387] User Registration and Login

[1388] A user registers by entering their name, email address, and password. The device sends this data to the server. The server stores the received data in a database and generates a confirmation email and sends it to the user's email address. When the user clicks the link in the confirmation email, the account is activated. The user then logs in using their email address and password, which the device sends to the server. The server compares the information in the database and, if the login is successful, generates a session ID and displays a login success message to the user.

[1389] Input: User registration information (name, email address, password)

[1390] Data processing: Save user information to database

[1391] Output: Send confirmation email, display login success message

[1392] Step 2:

[1393] Providing information on the Generative Artificial Intelligence Project

[1394] After logging in, the user accesses the project list page. The device sends a request to the server for project information. The server retrieves information about the generative AI project from the database, formats it, and returns it to the device. The device then displays the retrieved data to the user.

[1395] Input: Project Information Request

[1396] Data processing: Retrieving information from the database and formatting it

[1397] Output: Display project information

[1398] Step 3:

[1399] Investment execution through electronic payment

[1400] The user selects the project they want to invest in, enters the investment amount, and clicks the invest button. The terminal sends this investment data to the server, which stores the investment information in a database and updates the project's fundraising progress. The investment amount and other related data are also recorded.

[1401] Input: Investment data (project name, investment amount)

[1402] Data calculation: Saving investment information to a database and updating progress

[1403] Output: Confirmation message for investment completion

[1404] Step 4:

[1405] Project progress management and profit return

[1406] The server periodically saves and updates the project progress in a database. When a project generates revenue, the server records the information in the database, calculates the profit based on each investor's investment ratio, and reflects it in the investor's account. Users can check the returned profit information on their investment history page.

[1407] Input: Project progress data, revenue data

[1408] Data calculation: Calculate profits based on revenue and provide them to investors

[1409] Output: Profit return notification, investment history update

[1410] Step 5:

[1411] Emotion Recognition and Analysis (Emotion Engine)

[1412] When a user accesses the system and checks project information, the emotion engine monitors the user's input and behavior in real time and analyzes the user's emotions. For example, if the user is analyzed as "anxious" through facial expression recognition, the server will use the generative AI model to select the optimal investment recommendation project and suggest it to the user. An example of a prompt sentence is, "I'm worried about whether this AI project will really be successful."

[1413] Input: User input and behavioral data

[1414] Data Processing: Sentiment Analysis with Generative AI Models

[1415] Output: Sentiment-based investment recommendations

[1416] Adding specific examples

[1417] For example, if a user types, "I'm worried about whether this AI project will really succeed," the emotion engine will use the generative AI model to analyze this as "worried." Based on this result, the server will suggest low-risk investments suitable for the user.

[1418] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1419] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1420] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1421] [Fourth embodiment]

[1422] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1423] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1424] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1425] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1426] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1427] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1428] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1429] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1430] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1431] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1432] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1433] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1434] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1435] The present invention is a system for investing in specific projects and returning the profits to investors. This system is designed to facilitate fundraising for generative AI projects and to streamline profit distribution to investors.

[1436] System Overview

[1437] The system includes the following major components:

[1438] 1. User registration and login function

[1439] 2. Project list display function

[1440] 3. Investment implementation function

[1441] 4. Project progress management and profit return function

[1442] Program processing

[1443] 1. User Registration and Login

[1444] First, a user enters their name, email address, and password into a user registration form. The terminal sends this data to the server, which stores the received data in a database. The server then generates a confirmation email and sends it to the user's email address. When the user clicks the link in the confirmation email, the account is activated. When logging in, the user enters their email address and password, which the terminal sends to the server. The server compares the information with the database, and if there is a match, it generates a session ID and displays a login success message to the user.

[1445] 2. Project list display

[1446] After logging in, the user accesses the project list page. The device sends a request to the server for project information. The server retrieves information about generative AI projects from the database, formats it, and returns it to the device. The device displays the retrieved data to the user.

[1447] 3. Investment Execution

[1448] The user selects the project they want to invest in, enters the investment amount, and clicks the invest button. The terminal then sends the investment data to the server, which stores the investment information in a database and updates the project's fundraising progress, along with the investment amount and other related data.

[1449] 4. Project progress management and profit return

[1450] The server periodically saves and updates the project's progress in a database. When the project generates revenue through commercial use, the server records the information in the database. The server then calculates the profit based on each investor's investment ratio and reflects the profit in each investor's account. Users can check the returned profit information on their investment history page.

[1451] Specific examples

[1452] For example, suppose user A invests 100,000 yen and user B invests 150,000 yen in a particular generative AI project. If the project is successful and generates 1 million yen in revenue through commercial use, the profits will be distributed based on the investment ratio. The server first calculates each user's investment ratio (e.g., 40% for A, 60% for B), and then determines the amount of return based on this ratio. Therefore, user A will receive 400,000 yen, and user B will receive 600,000 yen. This specific process allows investors to receive profits fairly.

[1453] In this way, the present invention facilitates investment in generative AI projects, thereby promoting the evolution and spread of generative AI. The entire system is user-friendly, and information is provided appropriately to support investment decisions.

[1454] The processing flow will be explained below.

[1455] User Registration and Login

[1456] User Registration

[1457] Step 1:

[1458] The user enters their name, email address, and password into a user registration form on their terminal.

[1459] Step 2:

[1460] The terminal sends the input data to the server as a POST request.

[1461] Step 3:

[1462] The server validates the received data and stores the user information in a database.

[1463] Step 4:

[1464] The server will automatically generate a confirmation email and send it to the specified email address.

[1465] Step 5:

[1466] The user clicks on the link in the confirmation email they receive to activate their account.

[1467] Step 6:

[1468] The server receives the validation request and updates the user status in the database to "validated."

[1469] User Login

[1470] Step 1:

[1471] The user enters their email address and password in the login form and clicks the "Login" button.

[1472] Step 2:

[1473] The terminal sends the input data to the server.

[1474] Step 3:

[1475] The server compares the entered information with the information stored in the database.

[1476] Step 4:

[1477] If the server matches, it generates a session ID and displays a successful login message to the user.

[1478] Project list display

[1479] Step 1:

[1480] After logging in, the user accesses the project list page.

[1481] Step 2:

[1482] The terminal sends a GET request to the server requesting project list data.

[1483] Step 3:

[1484] The server retrieves information about generative artificial intelligence projects currently accepting applications from the database.

[1485] Step 4:

[1486] The server formats the acquired project information and returns it to the device in JSON format.

[1487] Step 5:

[1488] The data acquired by the terminal is displayed on a web page and provided to the user.

[1489] Implementing the investment

[1490] Step 1:

[1491] The user goes to the project details page, enters the investment amount (for example, 100,000 yen), and clicks the invest button.

[1492] Step 2:

[1493] The terminal sends investment data (user ID, project ID, investment amount) to the server via a POST request.

[1494] Step 3:

[1495] The server validates the received data and adds the new investment information to the investment history database.

[1496] Step 4:

[1497] The server updates the cumulative investment amount for the project and saves the progress data in the database.

[1498] Step 5:

[1499] The server returns the updated results to the terminal and displays a message that the investment was successful.

[1500] Project progress management and profit return

[1501] Step 1:

[1502] The server periodically saves and updates the project progress in a database.

[1503] Step 2:

[1504] The server receives revenue information generated from the commercial use of the project.

[1505] Step 3:

[1506] The server calculates the return amount based on each investor's investment ratio.

[1507] Step 4:

[1508] The server updates each investor's account with the calculated profit amount.

[1509] Step 5:

[1510] After logging in, the user goes to their investment history page and checks the returned profit information.

[1511] Example 1

[1512] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1513] In conventional investment systems, the process of investing in specific projects and returning profits was complicated, making the process cumbersome for investors. Furthermore, there were issues with the inability to efficiently obtain information about generative AI projects, manage project progress, or return profits based on investment ratios. This made it difficult for investors to obtain the information they needed to make appropriate investment decisions, potentially resulting in unfair profit distribution.

[1514] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1515] In this invention, the server includes: means for a user to register by entering their name, email address, and password; means for the terminal to send the entered data to the server and store it; means for the server to generate a confirmation email and send it to the user's email address; means for the user to activate their account by clicking on a link in the confirmation email; means for the user to log in by entering their email address and password; means for the terminal to send data to the server for authentication and generate a session ID if authentication is successful; means for the terminal to request project information from the server; means for the server to retrieve project information from a database and provide it to the user terminal; means for the user to make an investment and send the investment information to the server through the terminal; means for the server to store the investment information in a database and update the project's fundraising progress; means for the server to periodically update and store project progress and commercial revenue information; and means for the server to return profits to each investor based on the revenue information. This enables efficient investment in generative artificial intelligence projects and the associated return of profits, and provides users with information for appropriate investment decisions.

[1516] "User registration" is the process of creating an account by entering your name, email address, and password.

[1517] A "terminal" is a device that allows a user to input or receive information, including a computer, smartphone, tablet, etc.

[1518] A "server" is a computer system that collects, stores, and manages data and provides services to users.

[1519] An "HTTP request" is a communication protocol for sending data from a user terminal to a server.

[1520] A MySQL database is a type of relational database management system that allows you to efficiently store, search, and manage data.

[1521] The "SMTP protocol" is a communication protocol for sending email.

[1522] A "confirmation email" is an email sent to a user upon registration to confirm account activation.

[1523] "JWT (JSON Web Token)" is a token that contains user authentication information and serves as a session ID.

[1524] "Project Information" means detailed information about a generative artificial intelligence project, and is data provided to investors.

[1525] "Investment information" refers to the amount of money and detailed project information that a user inputs when investing in a specific project.

[1526] A "Cron job" is a system administration tool for automatically scheduling recurring tasks.

[1527] "Progress update" is the process of updating data to keep the project's progress up to date.

[1528] "Investment ratio" is the percentage of the amount each investor has invested in the project.

[1529] "Return on investment" is the process of distributing the profits generated by a project to investors based on their investment ratio.

[1530] This invention is a system for investing in specific projects and returning the profits to investors. This system is designed to facilitate fundraising for generative AI projects and streamline profit distribution to investors. The basic hardware consists of a terminal, a server, and a database, and the main software tools used are a MySQL database, SMTP protocol, HTTP protocol, JSON Web Token (JWT), and Cron jobs.

[1531] First, the user must register and log in to the system. This involves a registration process where the user enters their name, email address, and password. The entered data is sent from the terminal to the server using an HTTP POST request. The server stores the received data in a MySQL database and simultaneously validates the data. Following this, the server generates a confirmation email using the SMTP protocol and sends it to the user's email address. Once the user clicks on the link in the confirmation email, the account is activated.

[1532] A user logs in by entering their email address and password. The device sends this data to the server, which checks it against information in a database. If there's a match, the server generates a JSON Web Token (JWT) and displays a login success message to the user. This JWT acts as a session ID and keeps the user authenticated.

[1533] After logging in, the user can access the project list page. The device sends a request to the server to retrieve project information. The server queries the information on the generative AI project from the MySQL database, structures it in JSON format, and returns it to the device. The device displays the retrieved data to the user using React.js.

[1534] The user selects the project they want to invest in, enters the investment amount, and clicks the invest button. The terminal sends the investment information to the server via an HTTP POST request. The server stores the investment information in a MySQL database and updates the project's fundraising progress, including calculating the current total investment amount.

[1535] For project progress management and profit return, a Cron job is set up so that the server periodically retrieves project progress data. The server saves the progress data in a MySQL database and updates it as necessary. When profits are generated from commercial use of the project, the server saves the information in the database. The server then calculates profits based on each investor's investment ratio and reflects the profits in each investor's account. Users can check the returned profit information on their investment history page.

[1536] As a concrete example, suppose User A invests 100,000 yen and User B invests 150,000 yen in a particular generative AI project. This information is sent by the terminal to the server, which stores the investment information in a MySQL database. If the project is successful and generates revenue of 1 million yen, the server first calculates each user's investment ratio (40% for User A, 60% for User B). The server then determines the amount of return based on this ratio, returning 400,000 yen to User A and 600,000 yen to User B. This process ensures fair profit distribution.

[1537] The above system will make it easier to invest in generative AI projects, thereby promoting the evolution and spread of generative AI. The entire system is user-friendly and provides appropriate information to support investment decisions.

[1538] Example prompt sentence:

[1539] "Please explain in natural language how to display a list of projects to a generative AI model."

[1540] "Please explain the steps to invest 100,000 yen in a specific generative AI project."

[1541] "Please explain the process of project progress management and profit return with specific examples."

[1542] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1543] Step 1: User Registration

[1544] 1.1 Input

[1545] The user enters their name, email address, and password.

[1546] 1.2 Data Transmission

[1547] The terminal sends the input data to the server using an HTTP POST request.

[1548] 1.3 Data storage

[1549] The server stores the received data in a MySQL database, and at the same time validates the data to ensure there is no invalid data.

[1550] 1.4 Confirmation email sent

[1551] The server uses the SMTP protocol to generate and send a confirmation email containing a confirmation link to the user's email address.

[1552] 1.5 Account Activation

[1553] When a user clicks on the link in the confirmation email, the server detects the click and activates the user's account.

[1554] output

[1555] An enabled user account.

[1556] Step 2: User Login

[1557] 2.1 Input

[1558] The user enters their email address and password into the login form.

[1559] 2.2 Data Transmission

[1560] The terminal sends this data to the server using an HTTP POST request.

[1561] 2.3 Authentication process

[1562] The server checks the information in the database and generates a JWT (JSON Web Token) if it matches, otherwise it returns an error message.

[1563] 2.4 Login success notification

[1564] The server sends the generated JWT to the user and displays a login success message.

[1565] output

[1566] A login success message and a JWT for user authentication.

[1567] Step 3: List projects

[1568] 3.1 Sending a Request

[1569] After logging in, the user accesses the project list page. The terminal sends a request to acquire project information to the server.

[1570] 3.2 Data Acquisition

[1571] The server retrieves information about generative artificial intelligence projects from a MySQL database and structures it in JSON format.

[1572] 3.3 Data Transmission

[1573] The server transmits the structured data to the terminal.

[1574] 3.4 Display Processing

[1575] The device analyzes the acquired data and displays a list of projects to the user using React.js.

[1576] output

[1577] Project list information.

[1578] Step 4: Making the investment

[1579] 4.1 Input

[1580] The user selects the project they want to invest in, enters the investment amount, and clicks the invest button.

[1581] 4.2 Data Transmission

[1582] The terminal sends the input investment information to the server via an HTTP POST request.

[1583] 4.3 Data storage

[1584] The server stores the received investment information in a MySQL database.

[1585] 4.4 Progress Updates

[1586] The server updates the project's funding progress and recalculates the current total investment amount and stores it in the database.

[1587] output

[1588] Updated project funding progress information.

[1589] Step 5: Project progress management and profit return

[1590] 5.1 Progress Data Update

[1591] The server periodically uses a Cron job to retrieve project progress data and store it in a MySQL database.

[1592] 5.2 Revenue Data Storage

[1593] Once a project is commercially successful and generates revenue, the server stores that information in a MySQL database.

[1594] 5.3 Profit calculation

[1595] The server calculates the profit based on the investment ratio of each investor.

[1596] 5.4 Profit return

[1597] The server reflects the calculated profit amount in each investor's account.

[1598] output

[1599] Profit information reflected in investor's account.

[1600] Through the above series of processing steps, this system can efficiently perform user registration, authentication, display of project information, investment execution, progress management, and profit return.

[1601] (Application example 1)

[1602] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1603] While systems existed for investing in specific projects and receiving profits from them, there was a lack of an easy way for users to invest in generative AI projects at the same time as purchasing products on online shopping sites. Furthermore, there was a lack of information available to check investment progress in real time or to support appropriate investment decisions. This led to delays in investment decision-making and made it difficult to find suitable investment targets.

[1604] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1605] In this invention, the server includes means for investing in projects and returning profits to investors, means for acquiring information on generative AI projects and providing that information to users, means for investing in generative AI projects selected by users, means for providing investment options related to products purchased by users, means for managing project progress and returning profits to investors, and means for enabling users to check investment status in real time via a smartphone or head-mounted display. This allows users to have investment options when purchasing products and to check investment progress in real time, enabling them to make quick investment decisions based on appropriate information.

[1606] A "project" is a set of activities and tasks planned and carried out to achieve a specific goal or objective.

[1607] "Investment" is a financial act that involves providing money to a specific project or business with the aim of receiving a share of the results and profits.

[1608] An "investor" is an individual or organization that provides financial support to a particular project or undertaking and has the right to receive the results or benefits of the project or undertaking.

[1609] The "Generative Artificial Intelligence Project" is a research and development project aimed at automatically generating a wide variety of information and content using generative AI technology.

[1610] "User" means an individual or organization that uses this system to obtain project information and make investments.

[1611] "Progress" refers to the state of execution of a particular project or task and the degree of completion.

[1612] "Revenue" is the financial benefit resulting from a particular project or undertaking.

[1613] "Return" means distributing profits to investors in return for the money they provide.

[1614] An "online shopping site" is an online platform for selling and purchasing goods and services over the Internet.

[1615] "Real-time" means that data and information are processed immediately and provided to users almost simultaneously.

[1616] "Investment decision" is the evaluation and decision-making process to determine whether to invest in a particular project or business.

[1617] A "smartphone" is a highly functional mobile device that can run a wide variety of applications in addition to telephone functions.

[1618] A "head-mounted display" is a display device that is worn on the user's head and displays visual information.

[1619] This invention provides an investment support system specialized for online shopping sites. The system includes the following main components:

[1620] 1. User registration and login function

[1621] First, a user registers by entering their name, email address, and password. The device sends this data to the server, which then stores it in a database. A confirmation email is generated and sent to the user's email address, and when the user clicks on the link in the confirmation email, the account is activated. When logging in, the user enters their email address and password and sends them to the server. The server compares the information with the database, and if there is a match, it generates a session ID and displays a login success message to the user.

[1622] 2. Project list display function

[1623] After logging in, the user accesses the project list page. The device sends a request to the server for project information. The server retrieves information about the generative AI project from the database, formats it, and returns it to the device. The device then displays the retrieved data to the user.

[1624] 3. Investment execution function

[1625] The user invests in the generative AI project of their choice. The user selects the project they want to invest in, enters the investment amount, and clicks the invest button. The terminal sends the investment data to the server. The server stores the investment information in a database and updates the project's fundraising progress. At this time, the investment amount and other related data are also recorded.

[1626] 4. Investment option provision function

[1627] When a user purchases a product, they can select an additional pledge option during the checkout process. If a user selects an additional pledge option, the amount will be added to the purchase amount and donated to the specified project.

[1628] 5. Project progress management and profit return function

[1629] The server periodically saves and updates the project's progress in a database. When revenue is generated from the project's commercial use, the server records the information in the database. The server then calculates the profits based on each contributor's investment ratio and reflects the profits in each contributor's account. Users can check the returned profit information on their investment history page.

[1630] 6. Real-time investment status confirmation function

[1631] The server allows users to check the investment status in real time using a smartphone or head-mounted display. To do this, the server periodically updates the project progress, allowing users to instantly access the information they need.

[1632] Hardware and software used

[1633] Hardware: Smartphones, servers

[1634] Software: Flask (Python framework), SQLite (database)

[1635] This allows the system to efficiently handle management and real-time updates of contribution information.

[1636] Examples of concrete examples and prompts

[1637] Examples:

[1638] User A invested 10,000 yen in Generative Artificial Intelligence Project 1, and User B invested 20,000 yen.

[1639] If the project is successful and generates a profit of 300,000 yen, the profits will be distributed based on each user's investment ratio: User A will receive 100,000 yen, and User B will receive 200,000 yen.

[1640] Example prompt sentence:

[1641] "Please enter the amount invested by the user:"

[1642] An additional investment of 10,000 yen has been added.

[1643] Enter your revenue:

[1644] Revenue of 300,000 yen was generated.

[1645] Calculating revenue distribution to each user... Completed. User A received 100,000 yen and User B received 200,000 yen.

[1646] This invention allows users to easily invest in generative AI projects when purchasing products on online shopping sites. Furthermore, the status of investments can be checked in real time, enabling quick and appropriate investment decisions.

[1647] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1648] Step 1:

[1649] A user uses a terminal to enter their name, email address, and password into a user registration form. The terminal sends this data to the server, which stores it in a database. The server then generates a confirmation email and sends it to the user's email address. When the user clicks the link in the confirmation email, the account is activated. Specifically, when a user enters data into the form and presses the submit button, the data is sent to the server in JSON format. The server records the information in the database and sends the confirmation email.

[1650] Step 2:

[1651] The user uses the device to enter their email address and password and clicks the login button. The device sends this to the server. The server compares the information with the database and, if it matches, generates a session ID and displays a login success message to the user. Specifically, the user enters and submits the necessary information on the device's login screen, and the server searches for the relevant user information in the database and authenticates them.

[1652] Step 3:

[1653] After logging in, the user accesses the project list page. The device sends a request to the server for project information. The server retrieves information about generative AI projects from the database, formats it, and returns it to the device. The device then displays the retrieved data to the user. Specifically, the server queries the database for project information, sends the retrieved data to the device in JSON format, and the device displays the received information in a list.

[1654] Step 4:

[1655] The user selects the generative AI project they want to invest in, enters the investment amount, and clicks the invest button. The terminal then sends the investment data to the server. The server then saves the investment information in a database and updates the project's fundraising progress. At this time, the investment amount and other related data are also recorded. Specifically, the user enters the investment amount in the input form on the terminal and presses the send button to send the data to the server, which then records the data in the database.

[1656] Step 5:

[1657] When a user purchases a product, they can select an additional contribution option during the checkout process. If the user selects an additional contribution option, the amount is added to the purchase amount and sent to the specified project along with the original purchase amount. The server records the additional contribution information and updates the database. Specifically, when a user selects a contribution option on the purchase screen and completes the purchase process, the purchase information and investment information are sent to the server, which then records the information in the database.

[1658] Step 6:

[1659] The server periodically saves and updates the project progress in a database. When revenue is generated from the commercial use of the project, the server records the information in the database. The server then calculates profits based on each contributor's investment ratio and reflects the profits in each contributor's account. Users can check the returned profit information on their investment history page. Specifically, the server collects and updates project progress information at specific time intervals and calculates profit distribution based on the revenue information.

[1660] Step 7:

[1661] The server periodically updates the project's progress so that users can check their investment status in real time using their smartphone or head-mounted display. When a user launches the application and checks the progress, the server sends the latest information. Specifically, the user accesses the confirmation page through their device, and the server queries and sends the latest information to the device, enabling real-time checking.

[1662] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1663] This invention combines a system that invests in specific projects and returns profits to investors with an emotion engine that recognizes user emotions. This system is designed to facilitate fundraising for generative AI projects and streamline profit distribution to investors. The emotion engine also analyzes users' emotions and makes investment recommendations and risk assessments based on those emotions, supporting more precise investment decisions.

[1664] System Overview

[1665] The system includes the following major components:

[1666] 1. User registration and login function

[1667] 2. Project list display function

[1668] 3. Investment implementation function

[1669] 4. Project progress management and profit return function

[1670] 5. Emotion Recognition and Analysis Function (Emotion Engine)

[1671] Program processing

[1672] 1. User Registration and Login

[1673] First, a user enters their name, email address, and password into a user registration form. The terminal sends this data to the server, which stores the received data in a database. The server then generates a confirmation email and sends it to the user's email address. When the user clicks the link in the confirmation email, the account is activated. When logging in, the user enters their email address and password, which the terminal sends to the server. The server compares the information with the database, and if there is a match, it generates a session ID and displays a login success message to the user.

[1674] 2. Project list display

[1675] After logging in, the user accesses the project list page. The device sends a request to the server for project information. The server retrieves information about generative AI projects from the database, formats it, and returns it to the device. The device displays the retrieved data to the user.

[1676] 3. Investment Execution

[1677] The user selects the project they want to invest in, enters the investment amount, and clicks the invest button. The terminal then sends the investment data to the server, which stores the investment information in a database and updates the project's fundraising progress, along with the investment amount and other related data.

[1678] 4. Project progress management and profit return

[1679] The server periodically saves and updates the project's progress in a database. When the project generates revenue through commercial use, the server records the information in the database. The server then calculates the profit based on each investor's investment ratio and reflects the profit in each investor's account. Users can check the returned profit information on their investment history page.

[1680] 5. Emotion Recognition and Analysis

[1681] When a user accesses the system, the emotion engine monitors the user's input and behavior in real time and analyzes the user's emotions. For example, if the user is comparing multiple projects, the engine analyzes their facial expressions and verbal input to assess their interest or anxiety about investing. Based on this emotional data, the server recommends investment projects that suit the user's emotions. Furthermore, the emotion engine continuously monitors the user's emotional state and updates investment recommendations according to changes in emotions.

[1682] Specific examples

[1683] For example, suppose user A invests 100,000 yen and user B invests 150,000 yen in a particular generative AI project. If the project is successful and generates 1 million yen in revenue through commercial use, the profits will be distributed based on the investment ratio. The server first calculates each user's investment ratio (e.g., 40% for user A and 60% for user B), and then determines the amount of return based on this ratio. Therefore, user A will receive 400,000 yen, and user B will receive 600,000 yen. This specific process allows investors to receive profits fairly.

[1684] Furthermore, when User A logs into the system, the emotion engine analyzes the user's facial expression and, if it detects that the user is excited, the emotion engine will temporarily not display high-risk investments. Also, if there are doubts about an investment, the emotion engine will recognize that emotion and suggest detailed explanations and low-risk investments.

[1685] In this way, the present invention will facilitate investment in generative AI projects, thereby promoting the evolution and spread of generative AI. The entire system is user-friendly, and it is expected that information will be provided appropriately to support investment decisions.

[1686] The processing flow will be explained below.

[1687] User Registration and Login

[1688] User Registration

[1689] Step 1:

[1690] The user enters their name, email address, and password into a user registration form on their terminal.

[1691] Step 2:

[1692] The terminal sends the input data to the server as a POST request.

[1693] Step 3:

[1694] The server verifies the received data to ensure it is valid.

[1695] Step 4:

[1696] The server stores the user information in a database.

[1697] Step 5:

[1698] The server will automatically generate a confirmation email and send it to the specified email address.

[1699] Step 6:

[1700] The user clicks on the link in the confirmation email they receive to activate their account.

[1701] Step 7:

[1702] The server receives the validation request and updates the user status in the database to "validated."

[1703] User Login

[1704] Step 1:

[1705] The user enters their email address and password in the login form and clicks the "Login" button.

[1706] Step 2:

[1707] The terminal sends the input data to the server.

[1708] Step 3:

[1709] The server compares the entered information with the information stored in the database.

[1710] Step 4:

[1711] If the server matches, it generates a session ID and displays a successful login message to the user.

[1712] Project list display

[1713] Step 1:

[1714] After logging in, the user accesses the project list page.

[1715] Step 2:

[1716] The terminal sends a GET request to the server requesting project list data.

[1717] Step 3:

[1718] The server retrieves information about generative artificial intelligence projects currently accepting applications from the database.

[1719] Step 4:

[1720] The server formats the acquired project information and returns it to the device in JSON format.

[1721] Step 5:

[1722] The data acquired by the terminal is displayed on a web page and provided to the user.

[1723] Implementing the investment

[1724] Step 1:

[1725] The user goes to the project details page, enters the investment amount (for example, 100,000 yen), and clicks the invest button.

[1726] Step 2:

[1727] The terminal sends investment data (user ID, project ID, investment amount) to the server via a POST request.

[1728] Step 3:

[1729] The server validates the received data and stores the investment data in a database.

[1730] Step 4:

[1731] The server updates the cumulative investment amount for the project and saves the progress data in the database.

[1732] Step 5:

[1733] The server returns the updated results to the terminal and displays a message that the investment was successful.

[1734] Project progress management and profit return

[1735] Step 1:

[1736] The server periodically saves and updates the project progress in a database.

[1737] Step 2:

[1738] The server receives revenue information generated from the commercial use of the project.

[1739] Step 3:

[1740] The server calculates the return amount based on each investor's investment ratio.

[1741] Step 4:

[1742] The server updates each investor's account with the calculated profit amount.

[1743] Step 5:

[1744] The user goes to their investment history page and checks the returned profit information.

[1745] Emotion Recognition and Analysis

[1746] Step 1:

[1747] When a user accesses the system, the emotion engine monitors the user's input and behavior in real time.

[1748] Step 2:

[1749] The emotion engine collects user input data (e.g., facial expression recognition, voice analysis, text content).

[1750] Step 3:

[1751] The emotion engine analyzes the user's emotional state based on the collected data.

[1752] Step 4:

[1753] The server proposes investment projects based on the user's emotional data.

[1754] Step 5:

[1755] The emotion engine continuously monitors the user's emotional fluctuations and updates the suggestions accordingly.

[1756] For example, if a user is frowning while looking at a list of projects, the emotion engine will detect anxiety, and the server will prioritize low-risk investments. Conversely, if the user is excited, stable investments will be suggested. This allows users to make investment decisions that are appropriate to their emotional state.

[1757] Example 2

[1758] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1759] Conventional investment systems have problems such as inefficient project fundraising and profit distribution to investors, and a lack of support for investment decisions that take into account user sentiment. As a result, project progress and profit distribution are unclear, leading to lower investor satisfaction.

[1760] The identification processing by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for providing funds to specific projects and returning the profits to investors, means for obtaining information on generative AI projects from a database and providing that information to the user, means for providing funds to generative AI projects selected by the user, means for managing the progress of the projects and returning profits to investors, means for recognizing user emotions in real time and recommending appropriate investment proposals based on the emotions, and means for continuously updating investment recommendations based on user emotion data. This enables efficient fundraising for investment projects and precise investment decisions based on user emotions.

[1761] "Project" refers to a plan or activity to achieve a specific objective.

[1762] "Funding" refers to the act of providing the necessary funds for a project or activity.

[1763] "Sponsor" refers to an individual or organization that provides funding for a particular project or enterprise.

[1764] A "database" refers to a system that systematically stores large amounts of information and makes it easy to search and manipulate.

[1765] "Generative AI" refers to AI that has the ability to learn human knowledge and patterns and generate new content and solutions.

[1766] "Information" refers to a collection of data, facts, or knowledge that has value for a particular purpose or context.

[1767] "User" means any person or entity that uses the System or Services.

[1768] "Emotions" refer to a person's internal psychological state or sensation, and are a response to a particular event or situation.

[1769] "Real-time" refers to immediate response or processing without delay.

[1770] "Recommendation" refers to the act of encouraging others to take a particular action or choice.

[1771] "Progress" refers to how far a particular plan or activity has progressed.

[1772] "Profit" refers to the amount remaining after deducting expenses from revenue.

[1773] "Calculation" refers to the process of using numbers and data to arrive at a specific result.

[1774] "Reflection" refers to the act of applying specific results or data to real-world situations or systems.

[1775] "Comparison" refers to the act of comparing multiple objects to reveal their differences and similarities.

[1776] "Helping" refers to the act of helping others to accomplish a specific action or goal.

[1777] The present invention relates to a system for providing funds to specific projects and returning the profits to investors. How the present invention is implemented will be described in detail below.

[1778] System Configuration

[1779] This system mainly uses the following hardware and software:

[1780] Hardware: Servers (e.g., cloud servers), devices (user PCs and smartphones)

[1781] Software: Database (e.g., Amazon RDS), emotion engine (e.g., Microsoft Azure Emotion API)

[1782] Program processing overview

[1783] The system provides functionality that allows users to invest in generative AI projects and supports investment decisions based on emotions.

[1784] Detailed system description

[1785] 1. User Registration and Login

[1786] The user enters their name, email address, and password into a registration form, which the device sends to the server, which stores the data in a database and generates a confirmation email that is sent to the user's email address. The user clicks on the link in the confirmation email to activate their account.

[1787] 2. Project list display

[1788] After logging in, the user accesses the project list page. The device requests project information from the server, and the server retrieves information about generative AI projects from the database and returns it to the device. The device then displays the retrieved information in a list format.

[1789] 3. Investment Execution

[1790] The user selects the project they want to invest in, enters the investment amount, and clicks the invest button. The terminal sends the investment data to the server, which stores it in a database. The project's fundraising progress is updated, and the new progress information is reflected in the database.

[1791] 4. Project progress management and profit return

[1792] The server periodically saves and updates the project progress in a database. When profits are generated, the server calculates the profits and reflects them in each investor's account. Users can check the profit information on their investment history page.

[1793] 5. Emotion Recognition and Analysis

[1794] When a user accesses the system, the device acquires data on the user's behavior and facial expressions and sends it to the emotion engine. The emotion engine analyzes the user's emotions and returns the results to the server. The server then recommends suitable investments to the user based on the emotion data. The recommendations are continuously updated based on the user's emotional state.

[1795] Specific examples

[1796] For example, if user A invests 100,000 yen and user B invests 150,000 yen in a generative AI project, and the project is successful and generates a profit of 1 million yen, the server will calculate the profit based on the investment ratio. As a result, user A will receive 400,000 yen and user B will receive 600,000 yen. At the same time, the emotion engine analyzes emotions at the time of investment and makes appropriate investment recommendations.

[1797] Prompt Sentence Examples

[1798] Explain how a system that makes it easy to invest in generative artificial intelligence projects makes investment recommendations based on user sentiment.

[1799] As described above, the present invention provides a system that improves the efficiency of fundraising for generative artificial intelligence projects and supports more sophisticated investment decisions by utilizing user emotional data.

[1800] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1801] Step 1:

[1802] User Registration

[1803] The user enters their name, email address, and password and submits the registration form. The terminal sends this data in JSON format to the server. The server receives the entered data and stores it in a database. It then generates a confirmation email and sends it to the specified email address. This email is sent using the SMTP protocol. The input is the user's registration information, and the output is saving the user's information in the database and sending a confirmation email.

[1804] Step 2:

[1805] Account Activation

[1806] When the user clicks on the link in the confirmation email, the device sends an account activation request to the server. The server receives the request and updates the account status of the user in the database as "active." The input is the user's action (clicking on the link), and the output is the updated account status in the database.

[1807] Step 3:

[1808] Login Authentication

[1809] The user enters their email address and password into the login form and submits it. The terminal sends this information to the server. The server checks it against the database information, and if it matches, generates a session ID and sends it to the terminal. The terminal saves the session ID and displays a login success message to the user. The input is the user's login information, and the output is generating a session ID and maintaining the login state.

[1810] Step 4:

[1811] Retrieving and displaying project information

[1812] After logging in, the user accesses the project list page. The terminal sends a project information request in JSON format to the server. The server retrieves the project information from the database and returns the formatted data in JSON format to the terminal. The terminal analyzes the received information and displays the project list to the user. The input is the project information request, and the output is a list of project information.

[1813] Step 5:

[1814] Investment execution

[1815] The user selects a project to invest in, enters the investment amount, and clicks the invest button. The terminal sends the investment data in JSON format to the server. The server saves the received data in the database and updates the project's funding status. The updated information is saved in the database and an investment completion message is sent to the user. The input is the investment data, and the output is the database update and the investment completion message.

[1816] Step 6:

[1817] Project progress management and profit return

[1818] The server periodically updates the database with the project's progress. When profits are generated, the server records the information in the database and calculates the profits of each investor based on their investment ratio. The calculated profits are reflected in each investor's account. Users can check this on their investment history page. The input is project progress data and profit information, and the output is profit calculations and the profits reflected in their accounts.

[1819] Step 7:

[1820] Emotion Recognition and Investment Recommendations

[1821] When a user accesses the system, the terminal captures user behavior (clicks, inputs) and facial expression data via the camera in real time. This data is sent to the emotion engine, where it is analyzed. The server receives the analysis results and recommends investment projects that suit the user's emotional state. It also continuously updates investment recommendations based on the emotion data. The input is the user's behavioral data and facial expression data, and the output is investment recommendations based on emotions.

[1822] (Application example 2)

[1823] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1824] In recent years, investment in generative AI projects has been gaining attention. However, conventional investment systems do not take into account users' emotional changes or risk assessments, making investment decisions difficult and making it difficult for investors to select appropriate investment projects. Furthermore, the procedures for managing the progress of investment projects and distributing profits are complicated, resulting in increased time and costs. This has led to issues such as a decline in the efficiency of investment in generative AI projects and a decline in investor satisfaction.

[1825] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1826] In this invention, the server includes means for investing in specific projects through electronic payments and returning profits to investors, means for acquiring information on generative AI projects and providing that information to users, means for making investments in generative AI projects selected by users through electronic payments, means for managing project progress and returning profits to investors, and means for recognizing users' emotions and making investment recommendations and risk assessments based on those emotions. This allows users to receive recommendations that reflect their emotional state regarding investment projects in real time, improving the accuracy of their investment decisions. Furthermore, automating investment execution and profit return through electronic payments simplifies investment procedures and improves investor satisfaction.

[1827] "Electronic payment" is a general term for payment procedures conducted over the Internet or electronic devices.

[1828] The "Generative Artificial Intelligence Project" is a project that uses artificial intelligence technology to develop and provide new generative and analytical capabilities.

[1829] "Emotion recognition" is a technology that detects a person's emotional state and analyzes that emotional information.

[1830] "Investment recommendation" refers to the act or system of selecting and proposing optimal investments based on the user's needs and emotions.

[1831] "Risk assessment" is the process of analyzing the risks associated with an investment target and evaluating those risks quantitatively or qualitatively.

[1832] "Return of profits" refers to the procedures and methods for distributing investment profits to investors.

[1833] "Project progress management" is the activity of monitoring the progress of a specific project and providing regular updates and reports on that progress.

[1834] This invention combines a system that allows users to invest in specific projects through electronic payments and returns the profits to investors with an emotion engine that recognizes users' emotions. This system is designed to facilitate fundraising for generative AI projects and to efficiently distribute profits to investors.

[1835] System Overview

[1836] The system includes the following main components:

[1837] 1. User registration and login function: This is a function where users can register by entering their name, email address, and password. After registration, the account is activated through email confirmation. Then, users can log in using their email address and password.

[1838] 2. Information provision function for generative AI projects: The server retrieves information about generative AI projects from the database and provides it to users. This information includes project overviews, progress, target amounts, etc.

[1839] 3. Investment execution function by electronic payment: The user inputs the investment amount for the selected project and executes the investment through electronic payment. The server stores this investment data in the database and updates the project's fundraising progress.

[1840] 4. Project progress management and profit return function: The server periodically saves and updates the project progress in the database. When profits are generated, the profits are calculated based on the investment ratio and reflected in the investor's account.

[1841] 5. Emotion Recognition and Analysis Function (Emotion Engine): The server monitors user input and behavior in real time and analyzes the user's emotions. For example, when a user is comparing multiple projects, it analyzes their facial expressions and verbal input to assess their interest or anxiety about investing. Based on this emotional data, it recommends investment projects that fit their emotions.

[1842] Hardware and software used

[1843] The server is equipped with a database system that stores and manages user data. In addition, generative AI models (e.g., GPT-3 and BERT) are used for sentiment analysis. The server uses the Flask framework to build a web application that processes and displays user and investment data. User devices (smartphones, tablets, PCs, etc.) communicate with the server via a web browser or dedicated application to perform various operations.

[1844] Processing flow

[1845] A user accesses the investment platform and checks the overview of a generative AI project. The emotion engine then analyzes the user's facial expressions and input to make investment recommendations. For example, if the user has doubts about a project, the emotion engine will recognize that emotion and suggest more detailed information and lower-risk projects. In this way, users can make more precise investment decisions.

[1846] Specific examples

[1847] For example, suppose User A invests 100,000 yen and User B invests 150,000 yen in a specific generative AI project. If the project is successful and generates 1 million yen in revenue through commercial use, the profits will be distributed based on the investment ratio. Specifically, User A will receive 400,000 yen and User B will receive 600,000 yen.

[1848] Additionally, when a user accesses the system, the emotion engine analyzes the user's input. If the user types, "I'm worried about whether this AI project will really be successful," the emotion engine will recognize the user's anxiety and suggest detailed project information, success stories, and low-risk investment opportunities.

[1849] In this way, the system of the present invention enables smooth investment execution through electronic payments and sophisticated investment decisions using an emotion recognition engine, making it easier to invest in generative AI projects and thereby promoting the evolution and spread of generative AI.

[1850] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1851] Step 1:

[1852] User Registration and Login

[1853] A user registers by entering their name, email address, and password. The device sends this data to the server. The server stores the received data in a database and generates a confirmation email and sends it to the user's email address. When the user clicks the link in the confirmation email, the account is activated. The user then logs in using their email address and password, which the device sends to the server. The server compares the information in the database and, if the login is successful, generates a session ID and displays a login success message to the user.

[1854] Input: User registration information (name, email address, password)

[1855] Data processing: Save user information to database

[1856] Output: Send confirmation email, display login success message

[1857] Step 2:

[1858] Providing information on the Generative Artificial Intelligence Project

[1859] After logging in, the user accesses the project list page. The device sends a request to the server for project information. The server retrieves information about the generative AI project from the database, formats it, and returns it to the device. The device then displays the retrieved data to the user.

[1860] Input: Project Information Request

[1861] Data processing: Retrieving information from the database and formatting it

[1862] Output: Display project information

[1863] Step 3:

[1864] Investment execution through electronic payment

[1865] The user selects the project they want to invest in, enters the investment amount, and clicks the invest button. The terminal sends this investment data to the server, which stores the investment information in a database and updates the project's fundraising progress. The investment amount and other related data are also recorded.

[1866] Input: Investment data (project name, investment amount)

[1867] Data calculation: Saving investment information to a database and updating progress

[1868] Output: Confirmation message for investment completion

[1869] Step 4:

[1870] Project progress management and profit return

[1871] The server periodically saves and updates the project progress in a database. When a project generates revenue, the server records the information in the database, calculates the profit based on each investor's investment ratio, and reflects it in the investor's account. Users can check the returned profit information on their investment history page.

[1872] Input: Project progress data, revenue data

[1873] Data calculation: Calculate profits based on revenue and provide them to investors

[1874] Output: Profit return notification, investment history update

[1875] Step 5:

[1876] Emotion Recognition and Analysis (Emotion Engine)

[1877] When a user accesses the system and checks project information, the emotion engine monitors the user's input and behavior in real time and analyzes the user's emotions. For example, if the user is analyzed as "anxious" through facial expression recognition, the server will use the generative AI model to select the optimal investment recommendation project and suggest it to the user. An example of a prompt sentence is, "I'm worried about whether this AI project will really be successful."

[1878] Input: User input and behavioral data

[1879] Data Processing: Sentiment Analysis with Generative AI Models

[1880] Output: Sentiment-based investment recommendations

[1881] Adding specific examples

[1882] For example, if a user types, "I'm worried about whether this AI project will really succeed," the emotion engine will use the generative AI model to analyze this as "worried." Based on this result, the server will suggest low-risk investments suitable for the user.

[1883] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1884] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1885] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1886] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1887] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1888] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1889] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1890] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1891] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1892] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1893] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1894] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1895] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1896] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[1897] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1898] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1899] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1900] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1901] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1902] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1903] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1904] The following is further disclosed regarding the above embodiment.

[1905] (Claim 1)

[1906] A means of investing in specific projects and returning the profits to investors.

[1907] a means for obtaining information about generative artificial intelligence projects and providing the information to users;

[1908] A means for making investments in generative artificial intelligence projects selected by users;

[1909] A system that includes a means to manage project progress and return profits to investors.

[1910] (Claim 2)

[1911] 2. The system according to claim 1, further comprising means for reflecting the calculated profit amount in each investor's account based on the investment ratio when returning the profit.

[1912] (Claim 3)

[1913] 2. The system according to claim 1, further comprising means for displaying data on investment projects in an easily comparable format to provide investors with information to make appropriate investment decisions.

[1914] "Example 1"

[1915] (Claim 1)

[1916] a means for a user to register by entering their name, email address, and password;

[1917] A means for the terminal to transmit the input data to a server and store it;

[1918] means for the server to generate and send a confirmation email to the user's email address;

[1919] A means for users to activate their account by clicking a link in a confirmation email;

[1920] A way for users to log in by entering their email address and password,

[1921] A means for the terminal to send data to the server for authentication and generate a session ID when authentication is successful;

[1922] a means for the terminal to request project information from the server;

[1923] A means for the server to acquire project information from the database and provide it to the user terminal;

[1924] A means for a user to make an investment and transmit investment information to a server through a terminal;

[1925] a means for the server to store the investment information in a database and update the project's funding progress;

[1926] a means for the server to periodically update and store project progress and commercial revenue information;

[1927] The system includes a means for the server to return profits to each investor based on the profit information.

[1928] (Claim 2)

[1929] 2. The system according to claim 1, further comprising means for reflecting the calculated profit amount in each investor's account based on the investment ratio when returning the profit.

[1930] (Claim 3)

[1931] 2. The system according to claim 1, further comprising means for displaying data on investment projects in an easily comparable format to provide investors with information to make appropriate investment decisions.

[1932] "Application Example 1"

[1933] (Claim 1)

[1934] A means of investing in projects and returning the profits to investors,

[1935] A means for obtaining information about generative artificial intelligence projects and providing that information to users;

[1936] A means for investing in a generative artificial intelligence project selected by the user;

[1937] a means for providing users with investment options related to products they purchase;

[1938] A system that manages project progress and includes a means of returning profits to investors.

[1939] (Claim 2)

[1940] 2. The system according to claim 1, further comprising means for reflecting the calculated profit amount in each contributor's account based on the investment ratio when the profit is returned.

[1941] (Claim 3)

[1942] The system of claim 1 includes a means for providing investors with information to make appropriate investment decisions by displaying data on investment projects in an easily comparable format, as well as a means for users to check the investment status in real time via a smartphone or head-mounted display.

[1943] "Example 2: Combining Emotion Engines"

[1944] (Claim 1)

[1945] A means of providing funding to specific projects and returning the profits to investors,

[1946] A means for retrieving information on generative artificial intelligence projects from the database and providing the information to a user;

[1947] a means for providing funding to a user-selected generative artificial intelligence project;

[1948] A means to manage the progress of projects and return profits to investors,

[1949] A means of recognizing users' emotions in real time and recommending appropriate investment ideas based on their emotions;

[1950] The system includes a means for continuously updating investment recommendations based on user sentiment data.

[1951] (Claim 2)

[1952] 2. The system according to claim 1, further comprising means for reflecting the calculated profit amount in the account of each contributor based on the contribution ratio.

[1953] (Claim 3)

[1954] 2. The system according to claim 1, further comprising a means for displaying data on investment projects in an easily comparable format, thereby providing investors with information to make appropriate investment decisions.

[1955] "Application example 2 when combining emotion engines"

[1956] (Claim 1)

[1957] A means of investing in specific projects through electronic payments and returning the profits to investors.

[1958] a means for obtaining information about generative artificial intelligence projects and providing the information to users;

[1959] A means for electronically investing in a generative artificial intelligence project selected by the user;

[1960] A means to manage the progress of the project and return profits to investors,

[1961] A means of recognizing user emotions and making investment recommendations and risk assessments based on those emotions

[1962] A system including:

[1963] (Claim 2)

[1964] 2. The system according to claim ...

Claims

1. A means of investing in specific projects and returning the profits to investors. a means for obtaining information about generative artificial intelligence projects and providing the information to users; A means for making investments in generative artificial intelligence projects selected by users; A system that includes a means to manage project progress and return profits to investors.

2. 2. The system according to claim 1, further comprising means for reflecting the calculated profit amount in each investor's account based on the investment ratio when the profit is returned.

3. 2. The system according to claim 1, further comprising means for displaying data on investment projects in an easily comparable format to provide investors with information to make appropriate investment decisions.

Images