System

Abstract

A system is provided.SOLUTION: A system comprising: means for obtaining company information; means for searching for and suggesting subsidies and grants based on the obtained company information; means for using a generation AI to generate applications for selected subsidies and grants; and means for user review and modification of the generated applications.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] For small and medium-sized enterprises, utilizing subsidies and grants offered by national and local governments is extremely important for fundraising and business improvement. However, it is difficult to find suitable subsidies and grants, and the preparation of application documents is cumbersome, so many small and medium-sized enterprises are unable to effectively utilize these systems. In particular, the large number of subsidies and grants, each with its own different requirements and required documents to be submitted, places a heavy burden on companies. Therefore, there is a need for a system that can efficiently support everything from selecting subsidies and grants to preparing application documents. [Means for solving the problem]

[0005] The present invention provides a system including a means for acquiring company information, a means for searching for and proposing subsidies and grants based on the acquired company information, a means for using generation AI to generate application documents for the selected subsidies and grants, and a means for a user to review and modify the generated application documents.

[0006] The system first receives company information from the user, stores it in a database, and analyzes it to search for suitable subsidies and grants. It then uses generation AI to create application documents based on past application data for the proposed subsidies and grants selected by the user. The generated application documents are then available for the user to review and edit, and the final documents are converted into a specified format and made available for download. In this way, it helps small and medium-sized enterprises efficiently utilize subsidies and grants.

[0007] "Company information" refers to various data about a company, such as the URL of the company's homepage, financial statements, industry, location, and number of employees.

[0008] "Subsidies and grants" refers to financial assistance provided by national and local governments and other public institutions to businesses that meet certain criteria.

[0009] "Means of searching and suggesting" refers to the algorithms and system functions that use databases and external APIs to find appropriate subsidies and grants based on the acquired company information and present them to users.

[0010] "Generative AI" refers to artificial intelligence that analyzes past application document data and automatically generates new application documents using natural language processing technology.

[0011] "Application documents" are the official documents required to receive grants and subsidies, and typically include a business plan and financial plan.

[0012] "User" refers to an individual or corporate representative who uses this system to enter company information, search for and receive proposals for grants and subsidies, and review and modify generated application documents.

[0013] A "database" is a structured collection of information used to store and manage company information and past application document data.

[0014] "Specified format" refers to the format into which the generated application documents will be converted, and refers to commonly used document formats such as PDF. [Brief explanation of the drawings]

[0015] [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

[0016] 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.

[0017] First, the terms used in the following description will be explained.

[0018] 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).

[0019] 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.

[0020] 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.

[0021] 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.

[0022] 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."

[0023] [First embodiment]

[0024] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0025] 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.

[0026] 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).

[0027] 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.

[0028] 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.

[0029] 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.

[0030] 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.

[0031] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0032] 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.

[0033] 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.

[0034] 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.

[0035] 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."

[0036] This invention is a system that helps small and medium-sized enterprises efficiently utilize subsidies and grants from the national and local governments. This system uses generative AI to propose subsidies and grants and to prepare application documents.

[0037] System configuration

[0038] The system consists of the following main components:

[0039] server

[0040] Terminal

[0041] Database

[0042] Generative AI Module

[0043] Program processing explanation

[0044] Company information registration

[0045] First, the user logs in to the system. The user enters basic company information, such as the website URL, financial statements, industry, location, and number of employees. The terminal receives this input data, converts it into JSON format, and sends it to the server. The server stores the received JSON data in a database.

[0046] Recommended grant and subsidy proposals

[0047] When a user presses the "Search for Subsidies and Grants" button, the server retrieves registered company information from the database. Based on the retrieved information, the server runs an algorithm to search for appropriate subsidies and grants. This algorithm takes into account filtering criteria such as industry, location, and company size, scores the applicable subsidies and grants, and creates a recommended list. The recommended list is sent to the terminal in JSON format, and the terminal displays it on the user interface.

[0048] Generate application documents

[0049] When the user selects the desired subsidy or grant from the recommended list, the terminal sends the selected information to the server. The server retrieves past application document data corresponding to the selected subsidy or grant from the database. Based on the retrieved data, the application document is automatically generated using a generation AI module. The server sends the generated application document to the terminal in JSON format. The terminal displays the application document on the user interface.

[0050] Final manual check and format conversion

[0051] The user checks the displayed application documents and makes any necessary corrections or additions. The terminal reflects the user's corrections in real time and sends the new data to the server. The server saves the final corrected data in a database. When the user requests to download the completed application documents, the server converts the application documents into the specified format (e.g., PDF) and sends a download link to the terminal. The terminal displays this link on the user interface, allowing the user to download the application documents.

[0052] Specific examples

[0053] As a concrete example, consider the case where a user enters their company's homepage URL "https: / / examplecompany.com," last year's financial statements, industry "manufacturing," location "Tokyo," and number of employees "50" into the system. The server saves this information and suggests appropriate subsidies and grants, such as the "Small and Medium-sized Enterprise Growth Support Subsidy" and the "Digital Transformation Promotion Subsidy." The user selects the "Small and Medium-sized Enterprise Growth Support Subsidy," and the generation AI creates business plans and financial plans based on past application documents. The user then reviews and modifies these documents, and finally downloads and submits them in PDF format.

[0054] The system will enable small and medium-sized businesses to effortlessly find suitable subsidies and grants, and efficiently prepare and submit application documents.

[0055] The processing flow will be explained below.

[0056] Step 1:

[0057] Users log in to the system and enter company information such as their homepage URL, financial statements, industry, location, and number of employees.

[0058] Step 2:

[0059] The terminal receives the entered company information and converts it into JSON format.

[0060] Step 3:

[0061] The terminal sends the converted JSON data to the server.

[0062] Step 4:

[0063] The server stores the received JSON data in a database.

[0064] Step 5:

[0065] The user presses the "Search for grants and subsidies" button.

[0066] Step 6:

[0067] The server retrieves registered company information from the database.

[0068] Step 7:

[0069] The server runs an algorithm to search for suitable grants and subsidies based on registered company information.

[0070] Step 8:

[0071] The server scores subsidies and grants based on filtering criteria such as industry, location, and company size, and creates a recommended list.

[0072] Step 9:

[0073] The server converts the recommendation list into JSON format and sends it to the device.

[0074] Step 10:

[0075] The terminal displays the sent recommendation list on the user interface.

[0076] Step 11:

[0077] The user selects the desired grant or subsidy from a list of recommendations.

[0078] Step 12:

[0079] The terminal transmits information about the selected subsidy or grant to the server.

[0080] Step 13:

[0081] The server retrieves from a database past application data corresponding to the selected grant or subsidy.

[0082] Step 14:

[0083] The server calls the generation AI module based on the acquired application document data and starts the automatic generation process.

[0084] Step 15:

[0085] The generation AI module analyzes past application document data and generates new application documents based on specified templates.

[0086] Step 16:

[0087] The generation AI module exports the generated application documents in JSON format and sends them to the server.

[0088] Step 17:

[0089] The server transmits the generated application documents to the terminal.

[0090] Step 18:

[0091] The terminal displays the application documents on a user interface.

[0092] Step 19:

[0093] The user checks the generated application documents and makes any necessary corrections or additions.

[0094] Step 20:

[0095] The terminal reflects the user's input in real time and transmits the updated application document data to the server.

[0096] Step 21:

[0097] The server stores the corrected application document data in a database.

[0098] Step 22:

[0099] The user presses a button to download the completed application.

[0100] Step 23:

[0101] The terminal sends a download request to the server.

[0102] Step 24:

[0103] The server converts the completed application documents into a specified format, such as PDF, and generates a download link.

[0104] Step 25:

[0105] The server sends the generated download link to the terminal.

[0106] Step 26:

[0107] The terminal displays a download link to the user, allowing the user to download the application documents.

[0108] Example 1

[0109] 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."

[0110] There is a problem in that it is difficult for small and medium-sized enterprises to efficiently utilize subsidies and grants from the national and local governments. Specifically, it takes a great deal of time and effort to gather information to find appropriate subsidies and grants and to prepare application documents based on that information. There is a need to streamline this process and make it easier for small and medium-sized enterprises to apply for subsidies and grants.

[0111] 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.

[0112] In this invention, the server includes means for acquiring company information, means for saving the acquired company information in a database, means for searching for subsidies and grants based on the saved company information, scoring them, and generating a recommended list, means for automatically generating application documents for the selected subsidies and grants using a generation AI, means for the user to review and modify the generated application documents, and means for converting the modified application documents into a specified format. This enables small and medium-sized enterprises to efficiently find appropriate subsidies and grants, and simplifies the process from creating application documents to final submission.

[0113] The "means for acquiring company information" is a means for receiving basic information about a company entered by a user (for example, homepage URL, industry, location, number of employees, financial statements, etc.).

[0114] "Means for storing in a database" refers to means for recording acquired company information and generated data in a database in a format that can be stored and managed for a long period of time.

[0115] The "means for searching for subsidies and grants, scoring them, and generating a recommended list" refers to a means for algorithmically extracting appropriate subsidies and grants based on stored company information, scoring their importance and applicability, and creating a recommended list for the user.

[0116] "Means for automatic generation using generative AI" refers to a means for automatically creating new application documents for selected subsidies or grants using artificial intelligence based on past application document data.

[0117] The "means for user confirmation and correction" refers to a means for displaying the generated application documents on a user interface, allowing the user to confirm and correct the contents.

[0118] The "means of converting to a specified format" refers to the means of converting the final revised application documents into a specified format, such as PDF.

[0119] A "server" is a central computing device that processes data for the entire system and manages and provides information in cooperation with users and terminals.

[0120] "Device" refers to the computer or mobile device that a user uses to enter information or view results.

[0121] This invention is a system that helps small and medium-sized enterprises efficiently utilize subsidies and grants from the national and local governments. This system efficiently performs a series of processes including registering company information, proposing subsidies and grants, generating and checking application documents, and converting them into the final format.

[0122] First, the user logs in to the system. The user enters basic company information (website URL, industry, location, number of employees, financial statements, etc.) on the dashboard. The terminal converts this data into JSON format and sends it to the server. The server stores the received JSON data in a database.

[0123] For example, if a user enters their company's homepage URL "https: / / examplecompany.com", industry "manufacturing", location "Tokyo", number of employees "50", and last year's financial statements, this information is converted into JSON format and sent to the server as the following data:

[0124] json

[0125] {

[0126] "user_id": "12345",

[0127] "company_info": {

[0128] "url": "https: / / examplecompany.com",

[0129] "industry": "manufacturing",

[0130] "location": "Tokyo",

[0131] "employees": 50,

[0132] "financial_statements": "financial_statement.pdf"

[0133] }

[0134] }

[0135] Next, when the user presses the "Search for subsidies and grants" button, the server retrieves registered company information from the database. Based on the retrieved information, the server runs an algorithm to search for appropriate subsidies and grants. This algorithm takes into account conditions such as industry, location, and company size, scores applicable subsidies and grants, and creates a recommended list. The server sends the recommended list in JSON format to the terminal, which displays it on the user interface. For example, the server might suggest "Subsidies to Support Growth of Small and Medium-sized Enterprises" and "Subsidies to Promote Digital Transformation."

[0136] When the user selects the desired subsidy or grant from the recommended list, the device sends the selected information to the server. The server retrieves past application document data corresponding to the selected subsidy or grant from the database and automatically generates application documents based on that data using generation AI. The generated application documents are sent to the device in JSON format, and the device displays them on the user interface.

[0137] For example, if a user selects the "Small and Medium-sized Enterprise Growth Support Subsidy," the generation AI creates a business plan and financial plan based on past application documents. The user can then review and modify these application documents. The modified information is updated in real time and sent to the server as new data. Finally, when the user requests to download the completed application documents, the server converts the application documents into the specified format, such as PDF, and sends a download link to the device. The user clicks the link to download the application documents.

[0138] An example of a prompt sentence is, "Our company's homepage URL is https: / / examplecompany.com. Last year's financial statements are as follows. The industry is manufacturing, the company is located in Tokyo, and the company has 50 employees. Please suggest appropriate subsidies and grants for this."

[0139] This system enables small and medium-sized enterprises to efficiently find appropriate subsidies and grants, and to quickly and accurately prepare and submit application documents.

[0140] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0141] Step 1: User Login

[0142] The user accesses the system's login screen and enters their username and password. Based on the entered information, the terminal creates a user authentication request and sends it to the server. The server compares the entered information with the authentication information stored in the database, and if authentication is successful, it creates a user session and notifies the user to transition to the dashboard screen. Specifically, the user enters "example_user" and "example_password" and presses the "Login" button, and the server executes a database query to perform authentication.

[0143] input:

[0144] Username and password (e.g., "example_user", "example_password")

[0145] output:

[0146] User session creation and redirect notification to the dashboard

[0147] Step 2: Register your company information

[0148] After logging in, the user accesses the "Enter Company Information" section from the dashboard screen and enters company information such as the homepage URL, industry, location, number of employees, and financial statements. The terminal converts this input data into JSON format and sends it to the server. The server then stores the received JSON data in a database. Specifically, when the user enters "company information" and presses the "Save" button, the terminal receives the input information, converts it into JSON format, and sends it to the server.

[0149] input:

[0150] Company basic information (e.g., "https: / / examplecompany.com", "Manufacturing", "Tokyo", "50 employees", "financial_statement.pdf")

[0151] output:

[0152] Send it to the server as JSON format data and save it in the database

[0153] Step 3: Subsidy / Grant Proposal

[0154] When a user presses the "Search for subsidies and grants" button, the server retrieves registered company information from the database. Based on the retrieved information, the server runs a subsidy and grant search algorithm to create a recommended list of scored subsidies and grants that match the company information. The server sends this recommended list in JSON format to the terminal, which displays it on the user interface. Specifically, when a user presses the "Search" button, the server executes a database query and returns the appropriate subsidy and grant information with a score.

[0155] input:

[0156] Company information (e.g., "Manufacturing industry," "Tokyo," "50 employees")

[0157] output:

[0158] A list of recommendations in JSON format (e.g., "Small and Medium-sized Enterprise Growth Support Grant" and "Digital Transformation Promotion Grant")

[0159] Step 4: Generate application documents

[0160] When the user selects the desired subsidy or grant from the recommended list, the terminal sends the selected information to the server. The server retrieves past application document data corresponding to the selected subsidy or grant from the database and automatically generates new application documents using generation AI. The generated application documents are sent to the terminal in JSON format, and the terminal displays them on the user interface. Specifically, when the user selects the "Small and Medium-sized Enterprise Growth Support Subsidy," the server retrieves past application document data and generation AI generates new application documents.

[0161] input:

[0162] Selected grants and subsidies in the recommended list (e.g., "Small and Medium-Sized Business Growth Support Grant")

[0163] output:

[0164] Newly generated application documents in JSON format (e.g., "Business Plan" and "Financial Plan")

[0165] Step 5: Final manual check and format conversion

[0166] The user checks the displayed application documents and makes any necessary corrections or additions. The device reflects the user's corrections in real time and sends the new data to the server. The server saves the final corrected data in a database. When the user requests to download the completed application documents, the server converts the application documents into the specified format, such as PDF, and sends a download link to the device. The device displays this link on the user interface, allowing the user to download the application documents. Specifically, when the user corrects the application documents and presses the "Download" button, the server saves the corrected data and converts it into the specified format (e.g., PDF).

[0167] input:

[0168] Amended application documents by the user (e.g., "Amended Business Plan")

[0169] output:

[0170] Downloadable application documents in the specified format (e.g., PDF file download link)

[0171] (Application example 1)

[0172] 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."

[0173] Although many subsidies and grants are available to small and medium-sized enterprises, especially food delivery companies, efficiently searching for them and preparing the appropriate application documents places a heavy burden on them. Furthermore, specialized knowledge is required to prepare documents and convert formats, making it difficult for companies to handle this in-house. As a result, many companies are unable to receive appropriate support and find it difficult to operate.

[0174] 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.

[0175] In this invention, the server includes means for acquiring company information, means for searching for and proposing subsidies and grants based on the acquired company information, means for using generation AI to generate application documents for the selected subsidies and grants, means for the user to review and modify the generated application documents, means for identifying subsidies and grants for food delivery companies, and means for displaying the generated application documents on the user's mobile device and converting them to PDF format or the like. This enables food delivery companies to efficiently search for and select subsidies and grants and quickly proceed with the application process using automatically generated application documents. It also reduces the effort required to convert the generated documents into different formats, making the application process smoother.

[0176] "Company information" refers to basic data held by small and medium-sized enterprises, including website URLs, financial statements, industry, location, number of employees, etc.

[0177] "Subsidies and grants" are forms of financial support provided to businesses by national or local governments, and are awarded for specific conditions or projects.

[0178] "Generative AI" is an artificial intelligence module that automatically generates documents and content using natural language processing and machine learning techniques.

[0179] "User" means the entity that uses this system, including the person in charge or representative of a company who searches for grants and subsidies and creates and modifies application documents.

[0180] "Food delivery company" refers to a company or business that provides the service of delivering food and beverages to customers.

[0181] A "mobile terminal" is an electronic device that is portable and has communication capabilities, such as a smartphone or tablet.

[0182] "PDF format" is an abbreviation for Portable Document Format, and is an electronic file format for displaying and distributing documents without changing their format.

[0183] This invention is a system that helps small and medium-sized enterprises, especially food delivery companies, efficiently utilize subsidies and grants from national and local governments. The system proposes appropriate subsidies and grants based on the user's company information and automatically generates application documents using generation AI.

[0184] System configuration

[0185] The system consists of the following main components:

[0186] server

[0187] Device (mobile device such as smartphone)

[0188] Database

[0189] Generative AI Module

[0190] Program Description

[0191] Company information registration

[0192] First, the user logs in to the system. The user enters basic company information, such as the website URL, financial statements, industry, location, and number of employees. The terminal receives this input data, converts it into JSON format, and sends it to the server. The server stores the received JSON data in a database.

[0193] Recommended grant and subsidy proposals

[0194] When a user presses the "Search for Subsidies and Grants" button, the server retrieves registered company information from the database. Based on the retrieved information, the server runs an algorithm to search for appropriate subsidies and grants. This algorithm takes into account filtering criteria such as industry, location, and company size, scores the applicable subsidies and grants, and creates a recommended list. The recommended list is sent to the terminal in JSON format, and the terminal displays it on the user interface.

[0195] Generate application documents

[0196] When the user selects the desired subsidy or grant from the recommended list, the terminal sends the selected information to the server. The server retrieves past application document data corresponding to the selected subsidy or grant from the database. Based on the retrieved data, the application document is automatically generated using a generation AI module. The server sends the generated application document to the terminal in JSON format. The terminal displays the application document on the user interface.

[0197] Final manual check and format conversion

[0198] The user checks the displayed application documents and makes any necessary corrections or additions. The terminal reflects the user's corrections in real time and sends the new data to the server. The server saves the final corrected data in a database. When the user requests to download the completed application documents, the server converts the application documents into the specified format (e.g., PDF) and sends a download link to the terminal. The terminal displays this link on the user interface, allowing the user to download the application documents.

[0199] Specific examples

[0200] Usage example:

[0201] A food delivery company logs into the system and enters information such as their company's homepage URL, last year's financial statements, industry, location, and number of employees. For example, they enter the homepage URL "https: / / exampledelivery.com," last year's financial statements, industry "food service," location "Tokyo," and number of employees "20." The server saves this information and suggests "Regional Development Subsidy" and "Food Service Industry Support Subsidy" as appropriate subsidies and grants. The user selects "Regional Development Subsidy," and the generation AI creates an application document based on past application documents. Below is an example of a prompt for the generation AI:

[0202] Prompt statement:

[0203] "Please generate a subsidy application form based on the following information: Company information: {Industry: 'Food & Beverage', Location: 'Tokyo', Sales: '10 million yen', Number of employees: '20'}. Please automatically generate the necessary documents based on past application data."

[0204] The system will enable food delivery companies to effortlessly find suitable subsidies and grants, and efficiently prepare and submit application documents.

[0205] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0206] Step 1:

[0207] Process name: Enter company information

[0208] Acting on: User

[0209] Specific operation: The user logs in to the system and enters basic information about their company (website URL, financial statements, industry, location, number of employees, etc.) into the terminal.

[0210] Input: Company information such as website URL, financial statements, industry, location, number of employees, etc.

[0211] Output: Company information data converted to JSON format

[0212] Data processing: Convert input data into JSON format

[0213] Step 2:

[0214] Process name: Save company information

[0215] Actors: Terminals and servers

[0216] Specific operation: The terminal sends the company information converted into JSON format to the server, and the server stores the data in a database.

[0217] Input: Company information data in JSON format

[0218] Output: Company information stored in a database

[0219] Data processing: Save the received JSON data to the database

[0220] Step 3:

[0221] Process name: Subsidy / Grant proposal

[0222] Acting entity: Server

[0223] Specific operation: When a user presses the "Search for grants and subsidies" button, the server retrieves company information from the database and runs an algorithm to search for appropriate grants and subsidies.

[0224] Input: Company information stored in the database

[0225] Output: A list of recommendations in JSON format

[0226] Data processing: Searching and scoring subsidies and grants using filtering algorithms

[0227] Step 4:

[0228] Action Name: View Recommendation List

[0229] Acting on: Device

[0230] Specific operation: The device receives a recommendation list in JSON format sent from the server and displays it in the user interface.

[0231] Input: A list of recommendations in JSON format

[0232] Output: Recommendation list displayed in the user interface

[0233] Data processing: Parsing JSON data and reflecting it in the UI

[0234] Step 5:

[0235] Process name: Generate application documents

[0236] Actors: Server and generative AI module

[0237] Specific operation: The server receives information that the user has selected the desired subsidy or grant from the recommended list, retrieves past application document data from the database, and automatically generates application documents using the generation AI module.

[0238] Input: Selected grant and subsidy information, past application document data

[0239] Output: Generated application document in JSON format

[0240] Data processing: Automatic generation of application documents using a generative AI module

[0241] Step 6:

[0242] Process name: Display and confirm generated application documents

[0243] Actors: Devices and users

[0244] Specific operation: The terminal receives the application document data sent from the server and displays it on the user interface. The user checks the application document and makes corrections as necessary.

[0245] Input: Generated application documents in JSON format

[0246] Output: Application documents displayed in the user interface

[0247] Data processing: Parsing JSON data and reflecting it in the UI

[0248] Step 7:

[0249] Process name: Save final modified data

[0250] Actors: Terminals and servers

[0251] Specific operation: The device reflects the user's modifications in real time and sends them to the server, which then stores the final modified data in a database.

[0252] Input: User-modified data

[0253] Output: Final corrections stored in the database

[0254] Data processing: Real-time reflection and database storage

[0255] Step 8:

[0256] Processing name: Format conversion of application documents and provision of downloads

[0257] Actors: Servers and terminals

[0258] Specific operation: When a user requests to download a completed application, the server converts the application into the specified format (e.g., PDF) and generates a download link. The device displays this link in the user interface.

[0259] Input: Final corrected data

[0260] Output: Download link

[0261] Data processing: format conversion and link generation

[0262] 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.

[0263] This invention is a system that enables small and medium-sized enterprises to efficiently utilize subsidies and grants from national and local governments. The system starts by acquiring company information, then creates application documents using generative AI, and combines it with an emotion engine that recognizes the user's emotions and provides support.

[0264] System configuration

[0265] The system consists of the following main components:

[0266] server

[0267] Terminal

[0268] Database

[0269] Generative AI Module

[0270] Emotion Engine

[0271] Program processing explanation

[0272] Company information registration

[0273] First, the user logs in to the system. The user enters basic company information, such as the website URL, financial statements, industry, location, and number of employees. The terminal receives this input data, converts it into JSON format, and sends it to the server. The server stores the received JSON data in a database.

[0274] Recommended grant and subsidy proposals

[0275] When a user presses the "Search for Subsidies and Grants" button, the server retrieves registered company information from the database. Based on the retrieved information, the server runs an algorithm to search for appropriate subsidies and grants. This algorithm takes into account filtering criteria such as industry, location, and company size, as well as the user's emotional state, and scores the applicable subsidies and grants to create a recommended list. The recommended list is sent to the terminal in JSON format, and the terminal displays it on the user interface.

[0276] Generate application documents

[0277] When the user selects the desired subsidy or grant from the recommended list, the terminal sends the selected information to the server. The server retrieves past application document data corresponding to the selected subsidy or grant from the database. Based on the retrieved data, the application document is automatically generated using a generation AI module. The server sends the generated application document to the terminal in JSON format. The terminal displays the application document on the user interface.

[0278] Final manual check and format conversion

[0279] The user checks the displayed application documents and makes any necessary corrections or additions. During this time, the emotion engine recognizes emotions from the user's facial expressions and voice and monitors their stress level. The device reflects the user's corrections in real time and sends the new data to the server. The server stores the final corrected data in a database. If the user receives a stress alert from the emotion engine, assistance and guidance are provided.

[0280] When a user requests to download the completed application, the server converts the application into the specified format (e.g., PDF), generates a download link, and sends it to the terminal, which displays the link on the user interface and allows the user to download the application.

[0281] Specific examples

[0282] As a concrete example, consider the case where a user enters their company's homepage URL "https: / / examplecompany.com," last year's financial statements, industry "manufacturing," location "Tokyo," and number of employees "50" into the system. The server saves this information and suggests appropriate subsidies and grants, such as the "Small and Medium-sized Enterprise Growth Support Subsidy" and the "Digital Transformation Promotion Subsidy." The user selects the "Small and Medium-sized Enterprise Growth Support Subsidy," and the generation AI creates business plans and financial plans based on past application documents. The user then reviews and modifies these documents, and finally downloads and submits them in PDF format.

[0283] Furthermore, an emotion engine detects the user's stress during this process and provides alerts and assistance as needed, enabling efficient application procedures while reducing the user's mental burden. This system allows small and medium-sized enterprises to easily find suitable grants and subsidies, and efficiently prepare and submit application documents with minimal stress.

[0284] The processing flow will be explained below.

[0285] Step 1:

[0286] Users log in to the system and enter company information such as their homepage URL, financial statements, industry, location, and number of employees.

[0287] Step 2:

[0288] The terminal receives the entered company information and converts it into JSON format.

[0289] Step 3:

[0290] The terminal sends the converted JSON data to the server.

[0291] Step 4:

[0292] The server stores the received JSON data in a database.

[0293] Step 5:

[0294] The user presses the "Search for grants and subsidies" button.

[0295] Step 6:

[0296] The emotion engine recognizes emotions in real time from the user's voice input and facial expressions and sends that data to the device.

[0297] Step 7:

[0298] The server retrieves registered company information from the database.

[0299] Step 8:

[0300] The server runs an algorithm to search for suitable grants and subsidies based on registered company information.

[0301] Step 9:

[0302] The server scores grants and subsidies based on filtering criteria such as industry, location, company size, and even the user's emotional state, and creates a recommended list.

[0303] Step 10:

[0304] The server converts the recommendation list into JSON format and sends it to the device.

[0305] Step 11:

[0306] The terminal displays the sent recommendation list on the user interface.

[0307] Step 12:

[0308] The user selects the desired grant or subsidy from a list of recommendations.

[0309] Step 13:

[0310] The terminal transmits information about the selected subsidy or grant to the server.

[0311] Step 14:

[0312] The server retrieves from a database past application data corresponding to the selected grant or subsidy.

[0313] Step 15:

[0314] The server calls the generation AI module based on the acquired application document data and starts the automatic generation process.

[0315] Step 16:

[0316] The generation AI module analyzes past application document data and generates new application documents based on specified templates.

[0317] Step 17:

[0318] The generation AI module exports the generated application documents in JSON format and sends them to the server.

[0319] Step 18:

[0320] The server transmits the generated application documents to the terminal.

[0321] Step 19:

[0322] The terminal displays the application documents on a user interface, and the emotion engine monitors the user's stress level and provides appropriate alerts and assistance as needed.

[0323] Step 20:

[0324] The user checks the generated application documents and makes any necessary corrections or additions.

[0325] Step 20:

[0326] The terminal reflects the user's input in real time and transmits the updated application document data to the server.

[0327] Step 21:

[0328] The server stores the corrected application document data in a database.

[0329] Step 22:

[0330] The user presses a button to download the completed application.

[0331] Step 23:

[0332] The terminal sends a download request to the server.

[0333] Step 24:

[0334] The server converts the completed application documents into a specified format, such as PDF, and generates a download link.

[0335] Step 25:

[0336] The server sends the generated download link to the terminal.

[0337] Step 26:

[0338] The terminal displays a download link to the user, allowing the user to download the application documents.

[0339] Example 2

[0340] 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."

[0341] In order for small and medium-sized enterprises to efficiently utilize subsidies and grants from national and local governments, they need to organize and analyze large amounts of information, find appropriate subsidies and grants, and prepare application documents. However, these tasks are typically time-consuming and place a significant burden on users, especially those without specialized knowledge. Furthermore, stress and mistakes caused by changes in users' emotional state when searching for subsidies and grants and preparing application documents are also issues that need to be addressed. An efficient system that solves these problems is needed.

[0342] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0343] In this invention, the server includes: means for a user to log in to the system and input company information; means for the terminal to convert the input company information into JSON format and send it to the server; means for the server to save the sent company information in a database; means for the user to search for subsidies and grants by pressing a button; means for the server to retrieve company information from the database, search for subsidies and grants taking into account filtering conditions and the user's emotional state, score them, and create a recommendation list; means for sending the recommendation list in JSON format to the terminal and displaying it on a user interface; means for the user to select a desired subsidy or grant and the terminal to send that information to the server; means for the server to retrieve past application document data from the database and automatically generate application documents using a generation AI module; means for sending the generated application documents in JSON format to the terminal and displaying them on the user interface; means for the user to check and correct the application documents; means for an emotion engine to monitor the user's emotional state and provide assistance and guidance; means for the user to request downloading of the completed application documents, the server to convert the application documents into a specified format, generate a download link, and send it to the terminal; and means for the terminal to display the download link on the user interface. This allows small and medium-sized businesses to effortlessly find the right grants and subsidies, and efficiently prepare and submit application documents with minimal stress.

[0344] "User" refers to a company or its personnel who uses the system to search for subsidies and grants and prepare application documents.

[0345] A "terminal" is hardware such as a computer or mobile device that is operated by a user to input and display information.

[0346] A "server" is a computer system on a network that receives, stores, and processes data sent by users and sends the necessary information to terminals.

[0347] A "database" is a data storage system that is accessed by a server and used to store and manage company information and past application document data.

[0348] The "generative AI module" is a software module that uses artificial intelligence to automatically generate new application documents based on past application document data.

[0349] The "emotion engine" is a program that recognizes the user's emotional state, monitors stress levels, and provides assistance.

[0350] The "JSON format" is a lightweight data interchange format for storing and transmitting structured data.

[0351] "Subsidies and grants" are financial assistance provided by national and local governments to support business activities.

[0352] "Filtering conditions" are criteria for obtaining appropriate results when searching for subsidies and grants based on company information, industry, location, company size, etc.

[0353] A "prompt sentence" is a sentence-form instruction input to the generation AI module.

[0354] A "user interface" is a screen display and operating environment that allows a user to interact with a system.

[0355] A "download link" is a link on the Internet that allows a user to download application documents in a specified format.

[0356] This invention is a system that enables small and medium-sized enterprises to efficiently utilize subsidies and grants from national and local governments. The system starts by acquiring company information, then creates application documents using generative AI, and combines it with an emotion engine that recognizes the user's emotions and provides support.

[0357] System configuration

[0358] The system consists of the following main components:

[0359] server

[0360] Terminal

[0361] Database

[0362] Generative AI Module

[0363] Emotion Engine

[0364] Specific implementation methods

[0365] First, the user logs in to the system and enters basic information about their company (website URL, financial statements, industry, location, number of employees, etc.). The terminal converts this input data into JSON format and sends it to the server. The server then stores the received JSON data in a database.

[0366] When a user presses the "Search for Subsidies and Grants" button, the server retrieves registered company information from the database and runs an algorithm to search for appropriate subsidies and grants. This algorithm takes into account filtering criteria such as industry, location, and company size, as well as the user's emotional state analyzed by the emotion engine. It scores the applicable subsidies and grants and creates a recommendation list. The recommendation list is sent to the terminal in JSON format, and the terminal displays it on the user interface.

[0367] When the user selects the desired subsidy or grant from the recommended list, the device sends the selected information to the server. The server retrieves past application document data from the database and automatically generates application documents using the generation AI module. The generated application documents are sent to the device in JSON format, and the device displays them on the user interface.

[0368] The user checks the displayed application documents and makes any necessary corrections or additions. During this time, the emotion engine recognizes emotions from the user's facial expressions and voice and monitors their stress level. The device reflects the user's corrections in real time and sends the new data to the server. The server then saves the final corrected data in a database.

[0369] When a user requests to download the completed application, the server converts the application into the specified format (e.g., PDF), generates a download link, and sends it to the terminal, which displays this link in its user interface so that the user can download the application.

[0370] Specific examples

[0371] As a concrete example, consider the case where a user enters their company's homepage URL "https: / / examplecompany.com," last year's financial statements, industry "manufacturing," location "Tokyo," and number of employees "50" into the system. The server saves this information and suggests appropriate subsidies and grants, such as the "Small and Medium-sized Enterprise Growth Support Subsidy" and the "Digital Transformation Promotion Subsidy." The user selects the "Small and Medium-sized Enterprise Growth Support Subsidy," and the generation AI module creates business plans and financial plans based on past application documents. The user then reviews and modifies these documents, and finally downloads and submits them in PDF format.

[0372] During this process, the emotion engine detects the user's stress and provides alerts and assistance as needed, reducing the user's mental burden and enabling an efficient application process.

[0373] Prompt Sentence Examples

[0374] Enter the following prompt into the generative AI model:

[0375] Please prepare a business plan and financial plan to apply for the Small and Medium Enterprise Growth Support Subsidy. Please provide the following basic information about your company:

[0376] Homepage URL: https: / / examplecompany.com

[0377] Industry: Manufacturing

[0378] Location: Tokyo

[0379] Number of employees: 50

[0380] Last year's financial statements: (Financial statement data details)

[0381] The system allows small and medium-sized businesses to effortlessly find suitable grants and subsidies, and efficiently prepare and submit application documents with minimal stress.

[0382] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0383] Step 1:

[0384] The user enters their ID and password on the system's login screen and presses the "Login" button.

[0385] Input: User ID and password

[0386] Operation: The terminal receives the user's input and sends the data to the server, which then refers to the authentication database and performs the authentication process.

[0387] Output: If authentication is successful, the user is redirected to the company information entry screen. If unsuccessful, an error message is displayed.

[0388] Step 2:

[0389] On the company information input screen, users enter basic information such as the company's homepage URL, financial statements, industry, location, and number of employees into a form.

[0390] Input: Basic company information (website URL, financial statements, industry, location, number of employees, etc.)

[0391] How it works: When the "Submit" button is pressed, the device converts the input data into JSON format, then sends it to the server as an HTTP POST request.

[0392] Output: The server saves the received JSON data to the company information table in the database. If the save is successful, a confirmation message is displayed.

[0393] Step 3:

[0394] The user selects the "Search for Grants and Subsidies" option from the menu and presses the "Search" button that appears on the screen.

[0395] Input: User search request

[0396] How it works: The server queries registered company information from the database to retrieve the required information, then runs a search algorithm to find suitable grants and subsidies, taking into account filtering criteria (industry, location, company size, etc.) and the user's emotional state as analyzed by the emotion engine.

[0397] Output: The server scores the applicable grants and subsidies and generates a recommendation list. The list is converted to JSON format and sent to the terminal. The terminal displays the recommendation list in a user interface.

[0398] Step 4:

[0399] Users click to select the grant or subsidy they want from the recommended list.

[0400] Input: Selected grant or subsidy information

[0401] How it works: The device sends the selected information in JSON format to the server, which queries and retrieves past application data from a database.

[0402] Output: Retrieved past application document data

[0403] Step 5:

[0404] The server generates application documents using a generation AI module.

[0405] Input: Past application data and prompt text

[0406] Operation: The server inputs the acquired data into the generation AI module to generate application documents.

[0407] Output: Generated application documents (JSON format)

[0408] Step 6:

[0409] The server converts the generated application documents into JSON format and sends them to the terminal, which displays the documents on its user interface.

[0410] Input: Generated application documents (JSON format)

[0411] Behavior: The device displays the received data in a user interface that the user can edit.

[0412] Output: Application documents displayed in the user interface

[0413] Step 7:

[0414] The user checks the displayed application documents and makes any necessary corrections or additions.

[0415] Input: Application documents and user corrections / additions

[0416] How it works: The emotion engine analyzes the user's facial expressions and voice in real time and monitors their emotional state (e.g., stress level). The device updates the data in real time and sends it to the server. The server then stores the updated data in a database.

[0417] Output: Corrected application

[0418] Step 8:

[0419] If the user wishes to download the application documents, he or she clicks on the "Download" button.

[0420] Input: Download request

[0421] What it does: The server converts the application documents into the specified format (e.g. PDF) and generates a download link.

[0422] Output: Download link

[0423] Step 9:

[0424] The terminal displays the generated download link on the user interface.

[0425] Input: Download link

[0426] How it works: The device displays a download link in its user interface, allowing the user to download with one click.

[0427] Output: The application document is available for the user to download.

[0428] (Application example 2)

[0429] 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."

[0430] The traditional process for applying for subsidies and grants is extremely complicated and cumbersome for small and medium-sized enterprises. In particular, preparing application documents requires a great deal of time and effort, and the stress of completing the documents often places a mental burden on users. Furthermore, it is difficult to find appropriate subsidies and grants, preventing many small and medium-sized enterprises from benefiting from them. A system is needed to solve these issues, streamline the application process, and reduce the mental burden on users.

[0431] 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.

[0432] In this invention, the server includes means for acquiring company information, means for searching for and proposing subsidies and grants based on the acquired company information, means for using a generation AI to generate application documents for the selected subsidies and grants, means for using an emotion engine to recognize and support the user's emotions, and means for the user to check and correct the generated application documents. This makes it possible to streamline the application process for subsidies and grants and reduce the mental burden on the user.

[0433] "Company information" refers to basic information about a company, including, for example, the website URL, financial statements, industry, location, number of employees, etc.

[0434] "Subsidies and grants" are funds provided by public institutions such as the national and local governments to companies and individuals for specific purposes.

[0435] "Recommendation" refers to the act of the system showing the user the most suitable subsidies and grants based on the search results.

[0436] "Application documents" refers to the set of documents required to apply for subsidies and grants, which may include a business plan, financial plan, etc.

[0437] "Generative AI" refers to a system or algorithm that uses artificial intelligence techniques to automatically generate necessary documents or text based on historical data or specific prompts.

[0438] An "emotion engine" is a software module that analyzes a user's facial expressions and voice data to recognize the user's emotional state and stress level.

[0439] "User" refers to a company representative or individual who uses the system to process grant and subsidy applications.

[0440] A "database" is a system for systematically storing acquired company information, generated application documents, and information on subsidies and grants, and managing it in a manner that allows for search and analysis.

[0441] This invention is a system for streamlining the application process for subsidies and grants, and reducing the mental burden that accompanies it. The system is primarily composed of a server, terminals, a database, a generative AI module, and an emotion engine.

[0442] 1. User information registration

[0443] A user logs in to the system and enters company information (such as the website URL, financial statements, industry, location, number of employees, etc.) into the system's terminal. The terminal converts this input data into JSON format and sends it to the server. The server stores the received JSON data in a database.

[0444] 2. Proposing appropriate subsidies and grants

[0445] When a user presses the "Search for Subsidies and Grants" button, the server retrieves registered company information from the database. Based on this retrieved information, the server considers filtering criteria such as industry, location, and company size, as well as the user's emotional state, searches for applicable subsidies and grants, scores them, and creates a recommendation list. This recommendation list is sent to the terminal in JSON format, and the terminal displays it on the user interface.

[0446] 3. Generate application documents

[0447] When the user selects the desired subsidy or grant from the recommended list, the terminal sends the selected information to the server. The server retrieves past application document data corresponding to the selected subsidy or grant from the database and automatically generates application documents based on the retrieved data using a generation AI module. The generated application documents are sent to the terminal in JSON format, and the terminal displays them on the user interface.

[0448] 4. Final manual check and format conversion

[0449] The user checks the displayed application documents and makes any necessary corrections or additions. During this time, the emotion engine recognizes emotions from the user's facial expressions and voice and monitors their stress level. The device reflects the user's corrections in real time and sends the new data to the server. The server stores the final correction data in a database, and provides assistance and guidance if the user receives a stress alert from the emotion engine. When the user requests to download the completed application documents, the server converts the application documents into the specified format (e.g., PDF), generates a download link, and sends it to the device. The device displays this link on the user interface, allowing the user to download the application documents.

[0450] Hardware and Software Used

[0451] The system is built using the following hardware and software:

[0452] Hardware: smartphone or head-mounted display (e.g. HoloLens), server, cloud database

[0453] Software: User interface (iOS / Android app), backend server (Node.js or Python / Django), generative AI module (OpenAI GPT-4), emotion engine (emotion recognition API such as Affectiva)

[0454] Specific examples

[0455] For example, consider a security company representative applying for a new security contract. The representative logs in to the app and enters their company information. After that, they tap the "Create Application" button, and the app uses generative AI to automatically generate a draft contract application. The app's emotion engine monitors the representative's stress level and provides appropriate guidance if high stress levels are detected.

[0456] Example prompt for a generative AI model:

[0457] Please complete a security contract application based on the following information:

[0458] Company Name: [Company Name]

[0459] Location: [Location]

[0460] Contractor: [Contractor Name]

[0461] Contract period: [Contract period]

[0462] Services provided: [Service details]

[0463] Please refer to the following format:

[0464] [Opening of application form]

[0465] [Contract details]

[0466] [General Information]

[0467] [Signature / Seal]

[0468] This system streamlines the process of applying for grants and subsidies, reducing the mental burden on users.

[0469] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0470] Step 1:

[0471] The user logs in to the system and enters company information, such as the website URL, financial statements, industry, location, and number of employees. The terminal converts this input data into JSON format and sends it to the server. The server then stores the received JSON data in a database.

[0472] Input: Company information such as website URL, financial statements, industry, location, number of employees, etc.

[0473] Output: Company information in JSON format.

[0474] Step 2:

[0475] When a user presses the "Search for Subsidies and Grants" button, the server retrieves registered company information from the database. Based on the retrieved information, the server searches for relevant subsidies and grants, taking into account filtering conditions such as industry, location, and company size, as well as the user's emotional state.

[0476] Input: Company information stored in the database.

[0477] Output: A list of grants and subsidies based on your filtering criteria.

[0478] Step 3:

[0479] The server scores the subsidies and grants obtained based on the filtering criteria and creates a recommendation list, which is sent to the terminal in JSON format and displayed on the terminal's user interface.

[0480] Input: A list of grants and subsidies based on filtering criteria.

[0481] Output: A list of recommendations in JSON format.

[0482] Step 4:

[0483] When the user selects the desired subsidy or grant from the recommended list, the terminal transmits the selected information to the server, which retrieves the past application document data corresponding to the selected subsidy or grant from the database.

[0484] Input: The grant or subsidy selected by the user.

[0485] Output: Past application data.

[0486] Step 5:

[0487] The server automatically generates application documents using a generation AI module based on the acquired data. The generated application documents are sent in JSON format to the terminal, which then displays them on the user interface.

[0488] Input: Historical application data, generative AI model.

[0489] Output: Auto-generated application documents.

[0490] Step 6:

[0491] The user checks the displayed application documents and makes any necessary corrections or additions, while the emotion engine analyzes the user's facial expressions and voice to recognize emotions and monitor stress levels.

[0492] Input: Auto-generated application form, user facial and voice data.

[0493] Output: Corrected application form, emotional state data.

[0494] Step 7:

[0495] The device reflects the user's corrections in real time and sends the new data to the server, which stores the final corrections in a database. If the user receives a stress alert, assistance and guidance are displayed.

[0496] Input: User-modified data.

[0497] Output: Updated application data, assistance and guidance.

[0498] Step 8:

[0499] When a user requests to download the completed application, the server converts the application into the specified format (e.g., PDF), generates a download link, and sends it to the terminal, which displays this link on its user interface so that the user can download the application.

[0500] Input: Completed application documents.

[0501] Output: Application documents in PDF format and download link.

[0502] 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.

[0503] 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.

[0504] 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.

[0505] [Second embodiment]

[0506] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0507] 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.

[0508] 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).

[0509] 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.

[0510] 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.

[0511] 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).

[0512] 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.

[0513] 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.

[0514] 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.

[0515] 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.

[0516] In the smart glasses 214, the 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.

[0517] 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."

[0518] This invention is a system that helps small and medium-sized enterprises efficiently utilize subsidies and grants from the national and local governments. This system uses generative AI to propose subsidies and grants and to prepare application documents.

[0519] System configuration

[0520] The system consists of the following main components:

[0521] server

[0522] Terminal

[0523] Database

[0524] Generative AI Module

[0525] Program processing explanation

[0526] Company information registration

[0527] First, the user logs in to the system. The user enters basic company information, such as the website URL, financial statements, industry, location, and number of employees. The terminal receives this input data, converts it into JSON format, and sends it to the server. The server stores the received JSON data in a database.

[0528] Recommended grant and subsidy proposals

[0529] When a user presses the "Search for Subsidies and Grants" button, the server retrieves registered company information from the database. Based on the retrieved information, the server runs an algorithm to search for appropriate subsidies and grants. This algorithm takes into account filtering criteria such as industry, location, and company size, scores the applicable subsidies and grants, and creates a recommended list. The recommended list is sent to the terminal in JSON format, and the terminal displays it on the user interface.

[0530] Generate application documents

[0531] When the user selects the desired subsidy or grant from the recommended list, the terminal sends the selected information to the server. The server retrieves past application document data corresponding to the selected subsidy or grant from the database. Based on the retrieved data, the application document is automatically generated using a generation AI module. The server sends the generated application document to the terminal in JSON format. The terminal displays the application document on the user interface.

[0532] Final manual check and format conversion

[0533] The user checks the displayed application documents and makes any necessary corrections or additions. The terminal reflects the user's corrections in real time and sends the new data to the server. The server saves the final corrected data in a database. When the user requests to download the completed application documents, the server converts the application documents into the specified format (e.g., PDF) and sends a download link to the terminal. The terminal displays this link on the user interface, allowing the user to download the application documents.

[0534] Specific examples

[0535] As a concrete example, consider the case where a user enters their company's homepage URL "https: / / examplecompany.com," last year's financial statements, industry "manufacturing," location "Tokyo," and number of employees "50" into the system. The server saves this information and suggests appropriate subsidies and grants, such as the "Small and Medium-sized Enterprise Growth Support Subsidy" and the "Digital Transformation Promotion Subsidy." The user selects the "Small and Medium-sized Enterprise Growth Support Subsidy," and the generation AI creates business plans and financial plans based on past application documents. The user then reviews and modifies these documents, and finally downloads and submits them in PDF format.

[0536] The system will enable small and medium-sized businesses to effortlessly find suitable subsidies and grants, and efficiently prepare and submit application documents.

[0537] The processing flow will be explained below.

[0538] Step 1:

[0539] Users log in to the system and enter company information such as their homepage URL, financial statements, industry, location, and number of employees.

[0540] Step 2:

[0541] The terminal receives the entered company information and converts it into JSON format.

[0542] Step 3:

[0543] The terminal sends the converted JSON data to the server.

[0544] Step 4:

[0545] The server stores the received JSON data in a database.

[0546] Step 5:

[0547] The user presses the "Search for grants and subsidies" button.

[0548] Step 6:

[0549] The server retrieves registered company information from the database.

[0550] Step 7:

[0551] The server runs an algorithm to search for suitable grants and subsidies based on registered company information.

[0552] Step 8:

[0553] The server scores subsidies and grants based on filtering criteria such as industry, location, and company size, and creates a recommended list.

[0554] Step 9:

[0555] The server converts the recommendation list into JSON format and sends it to the device.

[0556] Step 10:

[0557] The terminal displays the sent recommendation list on the user interface.

[0558] Step 11:

[0559] The user selects the desired grant or subsidy from a list of recommendations.

[0560] Step 12:

[0561] The terminal transmits information about the selected subsidy or grant to the server.

[0562] Step 13:

[0563] The server retrieves from a database past application data corresponding to the selected grant or subsidy.

[0564] Step 14:

[0565] The server calls the generation AI module based on the acquired application document data and starts the automatic generation process.

[0566] Step 15:

[0567] The generation AI module analyzes past application document data and generates new application documents based on specified templates.

[0568] Step 16:

[0569] The generation AI module exports the generated application documents in JSON format and sends them to the server.

[0570] Step 17:

[0571] The server transmits the generated application documents to the terminal.

[0572] Step 18:

[0573] The terminal displays the application documents on a user interface.

[0574] Step 19:

[0575] The user checks the generated application documents and makes any necessary corrections or additions.

[0576] Step 20:

[0577] The terminal reflects the user's input in real time and transmits the updated application document data to the server.

[0578] Step 21:

[0579] The server stores the corrected application document data in a database.

[0580] Step 22:

[0581] The user presses a button to download the completed application.

[0582] Step 23:

[0583] The terminal sends a download request to the server.

[0584] Step 24:

[0585] The server converts the completed application documents into a specified format, such as PDF, and generates a download link.

[0586] Step 25:

[0587] The server sends the generated download link to the terminal.

[0588] Step 26:

[0589] The terminal displays a download link to the user, allowing the user to download the application documents.

[0590] Example 1

[0591] 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."

[0592] There is a problem in that it is difficult for small and medium-sized enterprises to efficiently utilize subsidies and grants from the national and local governments. Specifically, it takes a great deal of time and effort to gather information to find appropriate subsidies and grants and to prepare application documents based on that information. There is a need to streamline this process and make it easier for small and medium-sized enterprises to apply for subsidies and grants.

[0593] 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.

[0594] In this invention, the server includes means for acquiring company information, means for saving the acquired company information in a database, means for searching for subsidies and grants based on the saved company information, scoring them, and generating a recommended list, means for automatically generating application documents for the selected subsidies and grants using a generation AI, means for the user to review and modify the generated application documents, and means for converting the modified application documents into a specified format. This enables small and medium-sized enterprises to efficiently find appropriate subsidies and grants, and simplifies the process from creating application documents to final submission.

[0595] The "means for acquiring company information" is a means for receiving basic information about a company entered by a user (for example, homepage URL, industry, location, number of employees, financial statements, etc.).

[0596] "Means for storing in a database" refers to means for recording acquired company information and generated data in a database in a format that can be stored and managed for a long period of time.

[0597] The "means for searching for subsidies and grants, scoring them, and generating a recommended list" refers to a means for algorithmically extracting appropriate subsidies and grants based on stored company information, scoring their importance and applicability, and creating a recommended list for the user.

[0598] "Means for automatic generation using generative AI" refers to a means for automatically creating new application documents for selected subsidies or grants using artificial intelligence based on past application document data.

[0599] The "means for user confirmation and correction" refers to a means for displaying the generated application documents on a user interface, allowing the user to confirm and correct the contents.

[0600] The "means of converting to a specified format" refers to the means of converting the final revised application documents into a specified format, such as PDF.

[0601] A "server" is a central computing device that processes data for the entire system and manages and provides information in cooperation with users and terminals.

[0602] "Device" refers to the computer or mobile device that a user uses to enter information or view results.

[0603] This invention is a system that helps small and medium-sized enterprises efficiently utilize subsidies and grants from the national and local governments. This system efficiently performs a series of processes including registering company information, proposing subsidies and grants, generating and checking application documents, and converting them into the final format.

[0604] First, the user logs in to the system. The user enters basic company information (website URL, industry, location, number of employees, financial statements, etc.) on the dashboard. The terminal converts this data into JSON format and sends it to the server. The server stores the received JSON data in a database.

[0605] For example, if a user enters their company's homepage URL "https: / / examplecompany.com", industry "manufacturing", location "Tokyo", number of employees "50", and last year's financial statements, this information is converted into JSON format and sent to the server as the following data:

[0606] json

[0607] {

[0608] "user_id": "12345",

[0609] "company_info": {

[0610] "url": "https: / / examplecompany.com",

[0611] "industry": "manufacturing",

[0612] "location": "Tokyo",

[0613] "employees": 50,

[0614] "financial_statements": "financial_statement.pdf"

[0615] }

[0616] }

[0617] Next, when the user presses the "Search for subsidies and grants" button, the server retrieves registered company information from the database. Based on the retrieved information, the server runs an algorithm to search for appropriate subsidies and grants. This algorithm takes into account conditions such as industry, location, and company size, scores applicable subsidies and grants, and creates a recommended list. The server sends the recommended list in JSON format to the terminal, which displays it on the user interface. For example, the server might suggest "Subsidies to Support Growth of Small and Medium-sized Enterprises" and "Subsidies to Promote Digital Transformation."

[0618] When the user selects the desired subsidy or grant from the recommended list, the device sends the selected information to the server. The server retrieves past application document data corresponding to the selected subsidy or grant from the database and automatically generates application documents based on that data using generation AI. The generated application documents are sent to the device in JSON format, and the device displays them on the user interface.

[0619] For example, if a user selects the "Small and Medium-sized Enterprise Growth Support Subsidy," the generation AI creates a business plan and financial plan based on past application documents. The user can then review and modify these application documents. The modified information is updated in real time and sent to the server as new data. Finally, when the user requests to download the completed application documents, the server converts the application documents into the specified format, such as PDF, and sends a download link to the device. The user clicks the link to download the application documents.

[0620] An example of a prompt sentence is, "Our company's homepage URL is https: / / examplecompany.com. Last year's financial statements are as follows. The industry is manufacturing, the company is located in Tokyo, and the company has 50 employees. Please suggest appropriate subsidies and grants for this."

[0621] This system enables small and medium-sized enterprises to efficiently find appropriate subsidies and grants, and to quickly and accurately prepare and submit application documents.

[0622] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0623] Step 1: User Login

[0624] The user accesses the system's login screen and enters their username and password. Based on the entered information, the terminal creates a user authentication request and sends it to the server. The server compares the entered information with the authentication information stored in the database, and if authentication is successful, it creates a user session and notifies the user to transition to the dashboard screen. Specifically, the user enters "example_user" and "example_password" and presses the "Login" button, and the server executes a database query to perform authentication.

[0625] input:

[0626] Username and password (e.g., "example_user", "example_password")

[0627] output:

[0628] User session creation and redirect notification to the dashboard

[0629] Step 2: Register your company information

[0630] After logging in, the user accesses the "Enter Company Information" section from the dashboard screen and enters company information such as the homepage URL, industry, location, number of employees, and financial statements. The terminal converts this input data into JSON format and sends it to the server. The server then stores the received JSON data in a database. Specifically, when the user enters "company information" and presses the "Save" button, the terminal receives the input information, converts it into JSON format, and sends it to the server.

[0631] input:

[0632] Company basic information (e.g., "https: / / examplecompany.com", "Manufacturing", "Tokyo", "50 employees", "financial_statement.pdf")

[0633] output:

[0634] Send it to the server as JSON format data and save it in the database

[0635] Step 3: Subsidy / Grant Proposal

[0636] When a user presses the "Search for subsidies and grants" button, the server retrieves registered company information from the database. Based on the retrieved information, the server runs a subsidy and grant search algorithm to create a recommended list of scored subsidies and grants that match the company information. The server sends this recommended list in JSON format to the terminal, which displays it on the user interface. Specifically, when a user presses the "Search" button, the server executes a database query and returns the appropriate subsidy and grant information with a score.

[0637] input:

[0638] Company information (e.g., "Manufacturing industry," "Tokyo," "50 employees")

[0639] output:

[0640] A list of recommendations in JSON format (e.g., "Small and Medium-sized Enterprise Growth Support Grant" and "Digital Transformation Promotion Grant")

[0641] Step 4: Generate application documents

[0642] When the user selects the desired subsidy or grant from the recommended list, the terminal sends the selected information to the server. The server retrieves past application document data corresponding to the selected subsidy or grant from the database and automatically generates new application documents using generation AI. The generated application documents are sent to the terminal in JSON format, and the terminal displays them on the user interface. Specifically, when the user selects the "Small and Medium-sized Enterprise Growth Support Subsidy," the server retrieves past application document data and generation AI generates new application documents.

[0643] input:

[0644] Selected grants and subsidies in the recommended list (e.g., "Small and Medium-Sized Business Growth Support Grant")

[0645] output:

[0646] Newly generated application documents in JSON format (e.g., "Business Plan" and "Financial Plan")

[0647] Step 5: Final manual check and format conversion

[0648] The user checks the displayed application documents and makes any necessary corrections or additions. The device reflects the user's corrections in real time and sends the new data to the server. The server saves the final corrected data in a database. When the user requests to download the completed application documents, the server converts the application documents into the specified format, such as PDF, and sends a download link to the device. The device displays this link on the user interface, allowing the user to download the application documents. Specifically, when the user corrects the application documents and presses the "Download" button, the server saves the corrected data and converts it into the specified format (e.g., PDF).

[0649] input:

[0650] Amended application documents by the user (e.g., "Amended Business Plan")

[0651] output:

[0652] Downloadable application documents in the specified format (e.g., PDF file download link)

[0653] (Application example 1)

[0654] 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."

[0655] Although many subsidies and grants are available to small and medium-sized enterprises, especially food delivery companies, efficiently searching for them and preparing the appropriate application documents places a heavy burden on them. Furthermore, specialized knowledge is required to prepare documents and convert formats, making it difficult for companies to handle this in-house. As a result, many companies are unable to receive appropriate support and find it difficult to operate.

[0656] 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.

[0657] In this invention, the server includes means for acquiring company information, means for searching for and proposing subsidies and grants based on the acquired company information, means for using generation AI to generate application documents for the selected subsidies and grants, means for the user to review and modify the generated application documents, means for identifying subsidies and grants for food delivery companies, and means for displaying the generated application documents on the user's mobile device and converting them to PDF format or the like. This enables food delivery companies to efficiently search for and select subsidies and grants and quickly proceed with the application process using automatically generated application documents. It also reduces the effort required to convert the generated documents into different formats, making the application process smoother.

[0658] "Company information" refers to basic data held by small and medium-sized enterprises, including website URLs, financial statements, industry, location, number of employees, etc.

[0659] "Subsidies and grants" are forms of financial support provided to businesses by national or local governments, and are awarded for specific conditions or projects.

[0660] "Generative AI" is an artificial intelligence module that automatically generates documents and content using natural language processing and machine learning techniques.

[0661] "User" means the entity that uses this system, including the person in charge or representative of a company who searches for grants and subsidies and creates and modifies application documents.

[0662] "Food delivery company" refers to a company or business that provides the service of delivering food and beverages to customers.

[0663] A "mobile terminal" is an electronic device that is portable and has communication capabilities, such as a smartphone or tablet.

[0664] "PDF format" is an abbreviation for Portable Document Format, and is an electronic file format for displaying and distributing documents without changing their format.

[0665] This invention is a system that helps small and medium-sized enterprises, especially food delivery companies, efficiently utilize subsidies and grants from national and local governments. The system proposes appropriate subsidies and grants based on the user's company information and automatically generates application documents using generation AI.

[0666] System configuration

[0667] The system consists of the following main components:

[0668] server

[0669] Device (mobile device such as smartphone)

[0670] Database

[0671] Generative AI Module

[0672] Program Description

[0673] Company information registration

[0674] First, the user logs in to the system. The user enters basic company information, such as the website URL, financial statements, industry, location, and number of employees. The terminal receives this input data, converts it into JSON format, and sends it to the server. The server stores the received JSON data in a database.

[0675] Recommended grant and subsidy proposals

[0676] When a user presses the "Search for Subsidies and Grants" button, the server retrieves registered company information from the database. Based on the retrieved information, the server runs an algorithm to search for appropriate subsidies and grants. This algorithm takes into account filtering criteria such as industry, location, and company size, scores the applicable subsidies and grants, and creates a recommended list. The recommended list is sent to the terminal in JSON format, and the terminal displays it on the user interface.

[0677] Generate application documents

[0678] When the user selects the desired subsidy or grant from the recommended list, the terminal sends the selected information to the server. The server retrieves past application document data corresponding to the selected subsidy or grant from the database. Based on the retrieved data, the application document is automatically generated using a generation AI module. The server sends the generated application document to the terminal in JSON format. The terminal displays the application document on the user interface.

[0679] Final manual check and format conversion

[0680] The user checks the displayed application documents and makes any necessary corrections or additions. The terminal reflects the user's corrections in real time and sends the new data to the server. The server saves the final corrected data in a database. When the user requests to download the completed application documents, the server converts the application documents into the specified format (e.g., PDF) and sends a download link to the terminal. The terminal displays this link on the user interface, allowing the user to download the application documents.

[0681] Specific examples

[0682] Usage example:

[0683] A food delivery company logs into the system and enters information such as their company's homepage URL, last year's financial statements, industry, location, and number of employees. For example, they enter the homepage URL "https: / / exampledelivery.com," last year's financial statements, industry "food service," location "Tokyo," and number of employees "20." The server saves this information and suggests "Regional Development Subsidy" and "Food Service Industry Support Subsidy" as appropriate subsidies and grants. The user selects "Regional Development Subsidy," and the generation AI creates an application document based on past application documents. Below is an example of a prompt for the generation AI:

[0684] Prompt statement:

[0685] "Please generate a subsidy application form based on the following information: Company information: {Industry: 'Food & Beverage', Location: 'Tokyo', Sales: '10 million yen', Number of employees: '20'}. Please automatically generate the necessary documents based on past application data."

[0686] The system will enable food delivery companies to effortlessly find suitable subsidies and grants, and efficiently prepare and submit application documents.

[0687] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0688] Step 1:

[0689] Process name: Enter company information

[0690] Acting on: User

[0691] Specific operation: The user logs in to the system and enters basic information about their company (website URL, financial statements, industry, location, number of employees, etc.) into the terminal.

[0692] Input: Company information such as website URL, financial statements, industry, location, number of employees, etc.

[0693] Output: Company information data converted to JSON format

[0694] Data processing: Convert input data into JSON format

[0695] Step 2:

[0696] Process name: Save company information

[0697] Actors: Terminals and servers

[0698] Specific operation: The terminal sends the company information converted into JSON format to the server, and the server stores the data in a database.

[0699] Input: Company information data in JSON format

[0700] Output: Company information stored in a database

[0701] Data processing: Save the received JSON data to the database

[0702] Step 3:

[0703] Process name: Subsidy / Grant proposal

[0704] Acting entity: Server

[0705] Specific operation: When a user presses the "Search for grants and subsidies" button, the server retrieves company information from the database and runs an algorithm to search for appropriate grants and subsidies.

[0706] Input: Company information stored in the database

[0707] Output: A list of recommendations in JSON format

[0708] Data processing: Searching and scoring subsidies and grants using filtering algorithms

[0709] Step 4:

[0710] Action Name: View Recommendation List

[0711] Acting on: Device

[0712] Specific operation: The device receives a recommendation list in JSON format sent from the server and displays it in the user interface.

[0713] Input: A list of recommendations in JSON format

[0714] Output: Recommendation list displayed in the user interface

[0715] Data processing: Parsing JSON data and reflecting it in the UI

[0716] Step 5:

[0717] Process name: Generate application documents

[0718] Actors: Server and generative AI module

[0719] Specific operation: The server receives information that the user has selected the desired subsidy or grant from the recommended list, retrieves past application document data from the database, and automatically generates application documents using the generation AI module.

[0720] Input: Selected grant and subsidy information, past application document data

[0721] Output: Generated application document in JSON format

[0722] Data processing: Automatic generation of application documents using a generative AI module

[0723] Step 6:

[0724] Process name: Display and confirm generated application documents

[0725] Actors: Devices and users

[0726] Specific operation: The terminal receives the application document data sent from the server and displays it on the user interface. The user checks the application document and makes corrections as necessary.

[0727] Input: Generated application documents in JSON format

[0728] Output: Application documents displayed in the user interface

[0729] Data processing: Parsing JSON data and reflecting it in the UI

[0730] Step 7:

[0731] Process name: Save final modified data

[0732] Actors: Terminals and servers

[0733] Specific operation: The device reflects the user's modifications in real time and sends them to the server, which then stores the final modified data in a database.

[0734] Input: User-modified data

[0735] Output: Final corrections stored in the database

[0736] Data processing: Real-time reflection and database storage

[0737] Step 8:

[0738] Processing name: Format conversion of application documents and provision of downloads

[0739] Actors: Servers and terminals

[0740] Specific operation: When a user requests to download a completed application, the server converts the application into the specified format (e.g., PDF) and generates a download link. The device displays this link in the user interface.

[0741] Input: Final corrected data

[0742] Output: Download link

[0743] Data processing: format conversion and link generation

[0744] 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.

[0745] This invention is a system that enables small and medium-sized enterprises to efficiently utilize subsidies and grants from national and local governments. The system starts by acquiring company information, then creates application documents using generative AI, and combines it with an emotion engine that recognizes the user's emotions and provides support.

[0746] System configuration

[0747] The system consists of the following main components:

[0748] server

[0749] Terminal

[0750] Database

[0751] Generative AI Module

[0752] Emotion Engine

[0753] Program processing explanation

[0754] Company information registration

[0755] First, the user logs in to the system. The user enters basic company information, such as the website URL, financial statements, industry, location, and number of employees. The terminal receives this input data, converts it into JSON format, and sends it to the server. The server stores the received JSON data in a database.

[0756] Recommended grant and subsidy proposals

[0757] When a user presses the "Search for Subsidies and Grants" button, the server retrieves registered company information from the database. Based on the retrieved information, the server runs an algorithm to search for appropriate subsidies and grants. This algorithm takes into account filtering criteria such as industry, location, and company size, as well as the user's emotional state, and scores the applicable subsidies and grants to create a recommended list. The recommended list is sent to the terminal in JSON format, and the terminal displays it on the user interface.

[0758] Generate application documents

[0759] When the user selects the desired subsidy or grant from the recommended list, the terminal sends the selected information to the server. The server retrieves past application document data corresponding to the selected subsidy or grant from the database. Based on the retrieved data, the application document is automatically generated using a generation AI module. The server sends the generated application document to the terminal in JSON format. The terminal displays the application document on the user interface.

[0760] Final manual check and format conversion

[0761] The user checks the displayed application documents and makes any necessary corrections or additions. During this time, the emotion engine recognizes emotions from the user's facial expressions and voice and monitors their stress level. The device reflects the user's corrections in real time and sends the new data to the server. The server stores the final corrected data in a database. If the user receives a stress alert from the emotion engine, assistance and guidance are provided.

[0762] When a user requests to download the completed application, the server converts the application into the specified format (e.g., PDF), generates a download link, and sends it to the terminal, which displays the link on the user interface and allows the user to download the application.

[0763] Specific examples

[0764] As a concrete example, consider the case where a user enters their company's homepage URL "https: / / examplecompany.com," last year's financial statements, industry "manufacturing," location "Tokyo," and number of employees "50" into the system. The server saves this information and suggests appropriate subsidies and grants, such as the "Small and Medium-sized Enterprise Growth Support Subsidy" and the "Digital Transformation Promotion Subsidy." The user selects the "Small and Medium-sized Enterprise Growth Support Subsidy," and the generation AI creates business plans and financial plans based on past application documents. The user then reviews and modifies these documents, and finally downloads and submits them in PDF format.

[0765] Furthermore, an emotion engine detects the user's stress during this process and provides alerts and assistance as needed, enabling efficient application procedures while reducing the user's mental burden. This system allows small and medium-sized enterprises to easily find suitable grants and subsidies, and efficiently prepare and submit application documents with minimal stress.

[0766] The processing flow will be explained below.

[0767] Step 1:

[0768] Users log in to the system and enter company information such as their homepage URL, financial statements, industry, location, and number of employees.

[0769] Step 2:

[0770] The terminal receives the entered company information and converts it into JSON format.

[0771] Step 3:

[0772] The terminal sends the converted JSON data to the server.

[0773] Step 4:

[0774] The server stores the received JSON data in a database.

[0775] Step 5:

[0776] The user presses the "Search for grants and subsidies" button.

[0777] Step 6:

[0778] The emotion engine recognizes emotions in real time from the user's voice input and facial expressions and sends that data to the device.

[0779] Step 7:

[0780] The server retrieves registered company information from the database.

[0781] Step 8:

[0782] The server runs an algorithm to search for suitable grants and subsidies based on registered company information.

[0783] Step 9:

[0784] The server scores grants and subsidies based on filtering criteria such as industry, location, company size, and even the user's emotional state, and creates a recommended list.

[0785] Step 10:

[0786] The server converts the recommendation list into JSON format and sends it to the device.

[0787] Step 11:

[0788] The terminal displays the sent recommendation list on the user interface.

[0789] Step 12:

[0790] The user selects the desired grant or subsidy from a list of recommendations.

[0791] Step 13:

[0792] The terminal transmits information about the selected subsidy or grant to the server.

[0793] Step 14:

[0794] The server retrieves from a database past application data corresponding to the selected grant or subsidy.

[0795] Step 15:

[0796] The server calls the generation AI module based on the acquired application document data and starts the automatic generation process.

[0797] Step 16:

[0798] The generation AI module analyzes past application document data and generates new application documents based on specified templates.

[0799] Step 17:

[0800] The generation AI module exports the generated application documents in JSON format and sends them to the server.

[0801] Step 18:

[0802] The server transmits the generated application documents to the terminal.

[0803] Step 19:

[0804] The terminal displays the application documents on a user interface, and the emotion engine monitors the user's stress level and provides appropriate alerts and assistance as needed.

[0805] Step 20:

[0806] The user checks the generated application documents and makes any necessary corrections or additions.

[0807] Step 20:

[0808] The terminal reflects the user's input in real time and transmits the updated application document data to the server.

[0809] Step 21:

[0810] The server stores the corrected application document data in a database.

[0811] Step 22:

[0812] The user presses a button to download the completed application.

[0813] Step 23:

[0814] The terminal sends a download request to the server.

[0815] Step 24:

[0816] The server converts the completed application documents into a specified format, such as PDF, and generates a download link.

[0817] Step 25:

[0818] The server sends the generated download link to the terminal.

[0819] Step 26:

[0820] The terminal displays a download link to the user, allowing the user to download the application documents.

[0821] Example 2

[0822] 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."

[0823] In order for small and medium-sized enterprises to efficiently utilize subsidies and grants from national and local governments, they need to organize and analyze large amounts of information, find appropriate subsidies and grants, and prepare application documents. However, these tasks are typically time-consuming and place a significant burden on users, especially those without specialized knowledge. Furthermore, stress and mistakes caused by changes in users' emotional state when searching for subsidies and grants and preparing application documents are also issues that need to be addressed. An efficient system that solves these problems is needed.

[0824] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0825] In this invention, the server includes: means for a user to log in to the system and input company information; means for the terminal to convert the input company information into JSON format and send it to the server; means for the server to save the sent company information in a database; means for the user to search for subsidies and grants by pressing a button; means for the server to retrieve company information from the database, search for subsidies and grants taking into account filtering conditions and the user's emotional state, score them, and create a recommendation list; means for sending the recommendation list in JSON format to the terminal and displaying it on a user interface; means for the user to select a desired subsidy or grant and the terminal to send that information to the server; means for the server to retrieve past application document data from the database and automatically generate application documents using a generation AI module; means for sending the generated application documents in JSON format to the terminal and displaying them on the user interface; means for the user to check and correct the application documents; means for an emotion engine to monitor the user's emotional state and provide assistance and guidance; means for the user to request downloading of the completed application documents, the server to convert the application documents into a specified format, generate a download link, and send it to the terminal; and means for the terminal to display the download link on the user interface. This allows small and medium-sized businesses to effortlessly find the right grants and subsidies, and efficiently prepare and submit application documents with minimal stress.

[0826] "User" refers to a company or its personnel who uses the system to search for subsidies and grants and prepare application documents.

[0827] A "terminal" is hardware such as a computer or mobile device that is operated by a user to input and display information.

[0828] A "server" is a computer system on a network that receives, stores, and processes data sent by users and sends the necessary information to terminals.

[0829] A "database" is a data storage system that is accessed by a server and used to store and manage company information and past application document data.

[0830] The "generative AI module" is a software module that uses artificial intelligence to automatically generate new application documents based on past application document data.

[0831] The "emotion engine" is a program that recognizes the user's emotional state, monitors stress levels, and provides assistance.

[0832] The "JSON format" is a lightweight data interchange format for storing and transmitting structured data.

[0833] "Subsidies and grants" are financial assistance provided by national and local governments to support business activities.

[0834] "Filtering conditions" are criteria for obtaining appropriate results when searching for subsidies and grants based on company information, industry, location, company size, etc.

[0835] A "prompt sentence" is a sentence-form instruction input to the generation AI module.

[0836] A "user interface" is a screen display and operating environment that allows a user to interact with a system.

[0837] A "download link" is a link on the Internet that allows a user to download application documents in a specified format.

[0838] This invention is a system that enables small and medium-sized enterprises to efficiently utilize subsidies and grants from national and local governments. The system starts by acquiring company information, then creates application documents using generative AI, and combines it with an emotion engine that recognizes the user's emotions and provides support.

[0839] System configuration

[0840] The system consists of the following main components:

[0841] server

[0842] Terminal

[0843] Database

[0844] Generative AI Module

[0845] Emotion Engine

[0846] Specific implementation methods

[0847] First, the user logs in to the system and enters basic information about their company (website URL, financial statements, industry, location, number of employees, etc.). The terminal converts this input data into JSON format and sends it to the server. The server then stores the received JSON data in a database.

[0848] When a user presses the "Search for Subsidies and Grants" button, the server retrieves registered company information from the database and runs an algorithm to search for appropriate subsidies and grants. This algorithm takes into account filtering criteria such as industry, location, and company size, as well as the user's emotional state analyzed by the emotion engine. It scores the applicable subsidies and grants and creates a recommendation list. The recommendation list is sent to the terminal in JSON format, and the terminal displays it on the user interface.

[0849] When the user selects the desired subsidy or grant from the recommended list, the device sends the selected information to the server. The server retrieves past application document data from the database and automatically generates application documents using the generation AI module. The generated application documents are sent to the device in JSON format, and the device displays them on the user interface.

[0850] The user checks the displayed application documents and makes any necessary corrections or additions. During this time, the emotion engine recognizes emotions from the user's facial expressions and voice and monitors their stress level. The device reflects the user's corrections in real time and sends the new data to the server. The server then saves the final corrected data in a database.

[0851] When a user requests to download the completed application, the server converts the application into the specified format (e.g., PDF), generates a download link, and sends it to the terminal, which displays this link in its user interface so that the user can download the application.

[0852] Specific examples

[0853] As a concrete example, consider the case where a user enters their company's homepage URL "https: / / examplecompany.com," last year's financial statements, industry "manufacturing," location "Tokyo," and number of employees "50" into the system. The server saves this information and suggests appropriate subsidies and grants, such as the "Small and Medium-sized Enterprise Growth Support Subsidy" and the "Digital Transformation Promotion Subsidy." The user selects the "Small and Medium-sized Enterprise Growth Support Subsidy," and the generation AI module creates business plans and financial plans based on past application documents. The user then reviews and modifies these documents, and finally downloads and submits them in PDF format.

[0854] During this process, the emotion engine detects the user's stress and provides alerts and assistance as needed, reducing the user's mental burden and enabling an efficient application process.

[0855] Prompt Sentence Examples

[0856] Enter the following prompt into the generative AI model:

[0857] Please prepare a business plan and financial plan to apply for the Small and Medium Enterprise Growth Support Subsidy. Please provide the following basic information about your company:

[0858] Homepage URL: https: / / examplecompany.com

[0859] Industry: Manufacturing

[0860] Location: Tokyo

[0861] Number of employees: 50

[0862] Last year's financial statements: (Financial statement data details)

[0863] The system allows small and medium-sized businesses to effortlessly find suitable grants and subsidies, and efficiently prepare and submit application documents with minimal stress.

[0864] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0865] Step 1:

[0866] The user enters their ID and password on the system's login screen and presses the "Login" button.

[0867] Input: User ID and password

[0868] Operation: The terminal receives the user's input and sends the data to the server, which then refers to the authentication database and performs the authentication process.

[0869] Output: If authentication is successful, the user is redirected to the company information entry screen. If unsuccessful, an error message is displayed.

[0870] Step 2:

[0871] On the company information input screen, users enter basic information such as the company's homepage URL, financial statements, industry, location, and number of employees into a form.

[0872] Input: Basic company information (website URL, financial statements, industry, location, number of employees, etc.)

[0873] How it works: When the "Submit" button is pressed, the device converts the input data into JSON format, then sends it to the server as an HTTP POST request.

[0874] Output: The server saves the received JSON data to the company information table in the database. If the save is successful, a confirmation message is displayed.

[0875] Step 3:

[0876] The user selects the "Search for Grants and Subsidies" option from the menu and presses the "Search" button that appears on the screen.

[0877] Input: User search request

[0878] How it works: The server queries registered company information from the database to retrieve the required information, then runs a search algorithm to find suitable grants and subsidies, taking into account filtering criteria (industry, location, company size, etc.) and the user's emotional state as analyzed by the emotion engine.

[0879] Output: The server scores the applicable grants and subsidies and generates a recommendation list. The list is converted to JSON format and sent to the terminal. The terminal displays the recommendation list in a user interface.

[0880] Step 4:

[0881] Users click to select the grant or subsidy they want from the recommended list.

[0882] Input: Selected grant or subsidy information

[0883] How it works: The device sends the selected information in JSON format to the server, which queries and retrieves past application data from a database.

[0884] Output: Retrieved past application document data

[0885] Step 5:

[0886] The server generates application documents using a generation AI module.

[0887] Input: Past application data and prompt text

[0888] Operation: The server inputs the acquired data into the generation AI module to generate application documents.

[0889] Output: Generated application documents (JSON format)

[0890] Step 6:

[0891] The server converts the generated application documents into JSON format and sends them to the terminal, which displays the documents on its user interface.

[0892] Input: Generated application documents (JSON format)

[0893] Behavior: The device displays the received data in a user interface that the user can edit.

[0894] Output: Application documents displayed in the user interface

[0895] Step 7:

[0896] The user checks the displayed application documents and makes any necessary corrections or additions.

[0897] Input: Application documents and user corrections / additions

[0898] How it works: The emotion engine analyzes the user's facial expressions and voice in real time and monitors their emotional state (e.g., stress level). The device updates the data in real time and sends it to the server. The server then stores the updated data in a database.

[0899] Output: Corrected application

[0900] Step 8:

[0901] If the user wishes to download the application documents, he or she clicks on the "Download" button.

[0902] Input: Download request

[0903] What it does: The server converts the application documents into the specified format (e.g. PDF) and generates a download link.

[0904] Output: Download link

[0905] Step 9:

[0906] The terminal displays the generated download link on the user interface.

[0907] Input: Download link

[0908] How it works: The device displays a download link in its user interface, allowing the user to download with one click.

[0909] Output: The application document is available for the user to download.

[0910] (Application example 2)

[0911] 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."

[0912] The traditional process for applying for subsidies and grants is extremely complicated and cumbersome for small and medium-sized enterprises. In particular, preparing application documents requires a great deal of time and effort, and the stress of completing the documents often places a mental burden on users. Furthermore, it is difficult to find appropriate subsidies and grants, preventing many small and medium-sized enterprises from benefiting from them. A system is needed to solve these issues, streamline the application process, and reduce the mental burden on users.

[0913] 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.

[0914] In this invention, the server includes means for acquiring company information, means for searching for and proposing subsidies and grants based on the acquired company information, means for using a generation AI to generate application documents for the selected subsidies and grants, means for using an emotion engine to recognize and support the user's emotions, and means for the user to check and correct the generated application documents. This makes it possible to streamline the application process for subsidies and grants and reduce the mental burden on the user.

[0915] "Company information" refers to basic information about a company, including, for example, the website URL, financial statements, industry, location, number of employees, etc.

[0916] "Subsidies and grants" are funds provided by public institutions such as the national and local governments to companies and individuals for specific purposes.

[0917] "Recommendation" refers to the act of the system showing the user the most suitable subsidies and grants based on the search results.

[0918] "Application documents" refers to the set of documents required to apply for subsidies and grants, which may include a business plan, financial plan, etc.

[0919] "Generative AI" refers to a system or algorithm that uses artificial intelligence techniques to automatically generate necessary documents or text based on historical data or specific prompts.

[0920] An "emotion engine" is a software module that analyzes a user's facial expressions and voice data to recognize the user's emotional state and stress level.

[0921] "User" refers to a company representative or individual who uses the system to process grant and subsidy applications.

[0922] A "database" is a system for systematically storing acquired company information, generated application documents, and information on subsidies and grants, and managing it in a manner that allows for search and analysis.

[0923] This invention is a system for streamlining the application process for subsidies and grants, and reducing the mental burden that accompanies it. The system is primarily composed of a server, terminals, a database, a generative AI module, and an emotion engine.

[0924] 1. User information registration

[0925] A user logs in to the system and enters company information (such as the website URL, financial statements, industry, location, number of employees, etc.) into the system's terminal. The terminal converts this input data into JSON format and sends it to the server. The server stores the received JSON data in a database.

[0926] 2. Proposing appropriate subsidies and grants

[0927] When a user presses the "Search for Subsidies and Grants" button, the server retrieves registered company information from the database. Based on this retrieved information, the server considers filtering criteria such as industry, location, and company size, as well as the user's emotional state, searches for applicable subsidies and grants, scores them, and creates a recommendation list. This recommendation list is sent to the terminal in JSON format, and the terminal displays it on the user interface.

[0928] 3. Generate application documents

[0929] When the user selects the desired subsidy or grant from the recommended list, the terminal sends the selected information to the server. The server retrieves past application document data corresponding to the selected subsidy or grant from the database and automatically generates application documents based on the retrieved data using a generation AI module. The generated application documents are sent to the terminal in JSON format, and the terminal displays them on the user interface.

[0930] 4. Final manual check and format conversion

[0931] The user checks the displayed application documents and makes any necessary corrections or additions. During this time, the emotion engine recognizes emotions from the user's facial expressions and voice and monitors their stress level. The device reflects the user's corrections in real time and sends the new data to the server. The server stores the final correction data in a database, and provides assistance and guidance if the user receives a stress alert from the emotion engine. When the user requests to download the completed application documents, the server converts the application documents into the specified format (e.g., PDF), generates a download link, and sends it to the device. The device displays this link on the user interface, allowing the user to download the application documents.

[0932] Hardware and Software Used

[0933] The system is built using the following hardware and software:

[0934] Hardware: smartphone or head-mounted display (e.g. HoloLens), server, cloud database

[0935] Software: User interface (iOS / Android app), backend server (Node.js or Python / Django), generative AI module (OpenAI GPT-4), emotion engine (emotion recognition API such as Affectiva)

[0936] Specific examples

[0937] For example, consider a security company representative applying for a new security contract. The representative logs in to the app and enters their company information. After that, they tap the "Create Application" button, and the app uses generative AI to automatically generate a draft contract application. The app's emotion engine monitors the representative's stress level and provides appropriate guidance if high stress levels are detected.

[0938] Example prompt for a generative AI model:

[0939] Please complete a security contract application based on the following information:

[0940] Company Name: [Company Name]

[0941] Location: [Location]

[0942] Contractor: [Contractor Name]

[0943] Contract period: [Contract period]

[0944] Services provided: [Service details]

[0945] Please refer to the following format:

[0946] [Opening of application form]

[0947] [Contract details]

[0948] [General Information]

[0949] [Signature / Seal]

[0950] This system streamlines the process of applying for grants and subsidies, reducing the mental burden on users.

[0951] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0952] Step 1:

[0953] The user logs in to the system and enters company information, such as the website URL, financial statements, industry, location, and number of employees. The terminal converts this input data into JSON format and sends it to the server. The server then stores the received JSON data in a database.

[0954] Input: Company information such as website URL, financial statements, industry, location, number of employees, etc.

[0955] Output: Company information in JSON format.

[0956] Step 2:

[0957] When a user presses the "Search for Subsidies and Grants" button, the server retrieves registered company information from the database. Based on the retrieved information, the server searches for relevant subsidies and grants, taking into account filtering conditions such as industry, location, and company size, as well as the user's emotional state.

[0958] Input: Company information stored in the database.

[0959] Output: A list of grants and subsidies based on your filtering criteria.

[0960] Step 3:

[0961] The server scores the subsidies and grants obtained based on the filtering criteria and creates a recommendation list, which is sent to the terminal in JSON format and displayed on the terminal's user interface.

[0962] Input: A list of grants and subsidies based on filtering criteria.

[0963] Output: A list of recommendations in JSON format.

[0964] Step 4:

[0965] When the user selects the desired subsidy or grant from the recommended list, the terminal transmits the selected information to the server, which retrieves the past application document data corresponding to the selected subsidy or grant from the database.

[0966] Input: The grant or subsidy selected by the user.

[0967] Output: Past application data.

[0968] Step 5:

[0969] The server automatically generates application documents using a generation AI module based on the acquired data. The generated application documents are sent in JSON format to the terminal, which then displays them on the user interface.

[0970] Input: Historical application data, generative AI model.

[0971] Output: Auto-generated application documents.

[0972] Step 6:

[0973] The user checks the displayed application documents and makes any necessary corrections or additions, while the emotion engine analyzes the user's facial expressions and voice to recognize emotions and monitor stress levels.

[0974] Input: Auto-generated application form, user facial and voice data.

[0975] Output: Corrected application form, emotional state data.

[0976] Step 7:

[0977] The device reflects the user's corrections in real time and sends the new data to the server, which stores the final corrections in a database. If the user receives a stress alert, assistance and guidance are displayed.

[0978] Input: User-modified data.

[0979] Output: Updated application data, assistance and guidance.

[0980] Step 8:

[0981] When a user requests to download the completed application, the server converts the application into the specified format (e.g., PDF), generates a download link, and sends it to the terminal, which displays this link on its user interface so that the user can download the application.

[0982] Input: Completed application documents.

[0983] Output: Application documents in PDF format and download link.

[0984] 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.

[0985] 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.

[0986] 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.

[0987] [Third embodiment]

[0988] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0989] 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.

[0990] 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).

[0991] 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.

[0992] 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.

[0993] 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).

[0994] 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.

[0995] 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.

[0996] 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.

[0997] 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.

[0998] 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.

[0999] 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."

[1000] This invention is a system that helps small and medium-sized enterprises efficiently utilize subsidies and grants from the national and local governments. This system uses generative AI to propose subsidies and grants and to prepare application documents.

[1001] System configuration

[1002] The system consists of the following main components:

[1003] server

[1004] Terminal

[1005] Database

[1006] Generative AI Module

[1007] Program processing explanation

[1008] Company information registration

[1009] First, the user logs in to the system. The user enters basic company information, such as the website URL, financial statements, industry, location, and number of employees. The terminal receives this input data, converts it into JSON format, and sends it to the server. The server stores the received JSON data in a database.

[1010] Recommended grant and subsidy proposals

[1011] When a user presses the "Search for Subsidies and Grants" button, the server retrieves registered company information from the database. Based on the retrieved information, the server runs an algorithm to search for appropriate subsidies and grants. This algorithm takes into account filtering criteria such as industry, location, and company size, scores the applicable subsidies and grants, and creates a recommended list. The recommended list is sent to the terminal in JSON format, and the terminal displays it on the user interface.

[1012] Generate application documents

[1013] When the user selects the desired subsidy or grant from the recommended list, the terminal sends the selected information to the server. The server retrieves past application document data corresponding to the selected subsidy or grant from the database. Based on the retrieved data, the application document is automatically generated using a generation AI module. The server sends the generated application document to the terminal in JSON format. The terminal displays the application document on the user interface.

[1014] Final manual check and format conversion

[1015] The user checks the displayed application documents and makes any necessary corrections or additions. The terminal reflects the user's corrections in real time and sends the new data to the server. The server saves the final corrected data in a database. When the user requests to download the completed application documents, the server converts the application documents into the specified format (e.g., PDF) and sends a download link to the terminal. The terminal displays this link on the user interface, allowing the user to download the application documents.

[1016] Specific examples

[1017] As a concrete example, consider the case where a user enters their company's homepage URL "https: / / examplecompany.com," last year's financial statements, industry "manufacturing," location "Tokyo," and number of employees "50" into the system. The server saves this information and suggests appropriate subsidies and grants, such as the "Small and Medium-sized Enterprise Growth Support Subsidy" and the "Digital Transformation Promotion Subsidy." The user selects the "Small and Medium-sized Enterprise Growth Support Subsidy," and the generation AI creates business plans and financial plans based on past application documents. The user then reviews and modifies these documents, and finally downloads and submits them in PDF format.

[1018] The system will enable small and medium-sized businesses to effortlessly find suitable subsidies and grants, and efficiently prepare and submit application documents.

[1019] The processing flow will be explained below.

[1020] Step 1:

[1021] Users log in to the system and enter company information such as their homepage URL, financial statements, industry, location, and number of employees.

[1022] Step 2:

[1023] The terminal receives the entered company information and converts it into JSON format.

[1024] Step 3:

[1025] The terminal sends the converted JSON data to the server.

[1026] Step 4:

[1027] The server stores the received JSON data in a database.

[1028] Step 5:

[1029] The user presses the "Search for grants and subsidies" button.

[1030] Step 6:

[1031] The server retrieves registered company information from the database.

[1032] Step 7:

[1033] The server runs an algorithm to search for suitable grants and subsidies based on registered company information.

[1034] Step 8:

[1035] The server scores subsidies and grants based on filtering criteria such as industry, location, and company size, and creates a recommended list.

[1036] Step 9:

[1037] The server converts the recommendation list into JSON format and sends it to the device.

[1038] Step 10:

[1039] The terminal displays the sent recommendation list on the user interface.

[1040] Step 11:

[1041] The user selects the desired grant or subsidy from a list of recommendations.

[1042] Step 12:

[1043] The terminal transmits information about the selected subsidy or grant to the server.

[1044] Step 13:

[1045] The server retrieves from a database past application data corresponding to the selected grant or subsidy.

[1046] Step 14:

[1047] The server calls the generation AI module based on the acquired application document data and starts the automatic generation process.

[1048] Step 15:

[1049] The generation AI module analyzes past application document data and generates new application documents based on specified templates.

[1050] Step 16:

[1051] The generation AI module exports the generated application documents in JSON format and sends them to the server.

[1052] Step 17:

[1053] The server transmits the generated application documents to the terminal.

[1054] Step 18:

[1055] The terminal displays the application documents on a user interface.

[1056] Step 19:

[1057] The user checks the generated application documents and makes any necessary corrections or additions.

[1058] Step 20:

[1059] The terminal reflects the user's input in real time and transmits the updated application document data to the server.

[1060] Step 21:

[1061] The server stores the corrected application document data in a database.

[1062] Step 22:

[1063] The user presses a button to download the completed application.

[1064] Step 23:

[1065] The terminal sends a download request to the server.

[1066] Step 24:

[1067] The server converts the completed application documents into a specified format, such as PDF, and generates a download link.

[1068] Step 25:

[1069] The server sends the generated download link to the terminal.

[1070] Step 26:

[1071] The terminal displays a download link to the user, allowing the user to download the application documents.

[1072] Example 1

[1073] 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."

[1074] There is a problem in that it is difficult for small and medium-sized enterprises to efficiently utilize subsidies and grants from the national and local governments. Specifically, it takes a great deal of time and effort to gather information to find appropriate subsidies and grants and to prepare application documents based on that information. There is a need to streamline this process and make it easier for small and medium-sized enterprises to apply for subsidies and grants.

[1075] 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.

[1076] In this invention, the server includes means for acquiring company information, means for saving the acquired company information in a database, means for searching for subsidies and grants based on the saved company information, scoring them, and generating a recommended list, means for automatically generating application documents for the selected subsidies and grants using a generation AI, means for the user to review and modify the generated application documents, and means for converting the modified application documents into a specified format. This enables small and medium-sized enterprises to efficiently find appropriate subsidies and grants, and simplifies the process from creating application documents to final submission.

[1077] The "means for acquiring company information" is a means for receiving basic information about a company entered by a user (for example, homepage URL, industry, location, number of employees, financial statements, etc.).

[1078] "Means for storing in a database" refers to means for recording acquired company information and generated data in a database in a format that can be stored and managed for a long period of time.

[1079] The "means for searching for subsidies and grants, scoring them, and generating a recommended list" refers to a means for algorithmically extracting appropriate subsidies and grants based on stored company information, scoring their importance and applicability, and creating a recommended list for the user.

[1080] "Means for automatic generation using generative AI" refers to a means for automatically creating new application documents for selected subsidies or grants using artificial intelligence based on past application document data.

[1081] The "means for user confirmation and correction" refers to a means for displaying the generated application documents on a user interface, allowing the user to confirm and correct the contents.

[1082] The "means of converting to a specified format" refers to the means of converting the final revised application documents into a specified format, such as PDF.

[1083] A "server" is a central computing device that processes data for the entire system and manages and provides information in cooperation with users and terminals.

[1084] "Device" refers to the computer or mobile device that a user uses to enter information or view results.

[1085] This invention is a system that helps small and medium-sized enterprises efficiently utilize subsidies and grants from the national and local governments. This system efficiently performs a series of processes including registering company information, proposing subsidies and grants, generating and checking application documents, and converting them into the final format.

[1086] First, the user logs in to the system. The user enters basic company information (website URL, industry, location, number of employees, financial statements, etc.) on the dashboard. The terminal converts this data into JSON format and sends it to the server. The server stores the received JSON data in a database.

[1087] For example, if a user enters their company's homepage URL "https: / / examplecompany.com", industry "manufacturing", location "Tokyo", number of employees "50", and last year's financial statements, this information is converted into JSON format and sent to the server as the following data:

[1088] json

[1089] {

[1090] "user_id": "12345",

[1091] "company_info": {

[1092] "url": "https: / / examplecompany.com",

[1093] "industry": "manufacturing",

[1094] "location": "Tokyo",

[1095] "employees": 50,

[1096] "financial_statements": "financial_statement.pdf"

[1097] }

[1098] }

[1099] Next, when the user presses the "Search for subsidies and grants" button, the server retrieves registered company information from the database. Based on the retrieved information, the server runs an algorithm to search for appropriate subsidies and grants. This algorithm takes into account conditions such as industry, location, and company size, scores applicable subsidies and grants, and creates a recommended list. The server sends the recommended list in JSON format to the terminal, which displays it on the user interface. For example, the server might suggest "Subsidies to Support Growth of Small and Medium-sized Enterprises" and "Subsidies to Promote Digital Transformation."

[1100] When the user selects the desired subsidy or grant from the recommended list, the device sends the selected information to the server. The server retrieves past application document data corresponding to the selected subsidy or grant from the database and automatically generates application documents based on that data using generation AI. The generated application documents are sent to the device in JSON format, and the device displays them on the user interface.

[1101] For example, if a user selects the "Small and Medium-sized Enterprise Growth Support Subsidy," the generation AI creates a business plan and financial plan based on past application documents. The user can then review and modify these application documents. The modified information is updated in real time and sent to the server as new data. Finally, when the user requests to download the completed application documents, the server converts the application documents into the specified format, such as PDF, and sends a download link to the device. The user clicks the link to download the application documents.

[1102] An example of a prompt sentence is, "Our company's homepage URL is https: / / examplecompany.com. Last year's financial statements are as follows. The industry is manufacturing, the company is located in Tokyo, and the company has 50 employees. Please suggest appropriate subsidies and grants for this."

[1103] This system enables small and medium-sized enterprises to efficiently find appropriate subsidies and grants, and to quickly and accurately prepare and submit application documents.

[1104] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1105] Step 1: User Login

[1106] The user accesses the system's login screen and enters their username and password. Based on the entered information, the terminal creates a user authentication request and sends it to the server. The server compares the entered information with the authentication information stored in the database, and if authentication is successful, it creates a user session and notifies the user to transition to the dashboard screen. Specifically, the user enters "example_user" and "example_password" and presses the "Login" button, and the server executes a database query to perform authentication.

[1107] input:

[1108] Username and password (e.g., "example_user", "example_password")

[1109] output:

[1110] User session creation and redirect notification to the dashboard

[1111] Step 2: Register your company information

[1112] After logging in, the user accesses the "Enter Company Information" section from the dashboard screen and enters company information such as the homepage URL, industry, location, number of employees, and financial statements. The terminal converts this input data into JSON format and sends it to the server. The server then stores the received JSON data in a database. Specifically, when the user enters "company information" and presses the "Save" button, the terminal receives the input information, converts it into JSON format, and sends it to the server.

[1113] input:

[1114] Company basic information (e.g., "https: / / examplecompany.com", "Manufacturing", "Tokyo", "50 employees", "financial_statement.pdf")

[1115] output:

[1116] Send it to the server as JSON format data and save it in the database

[1117] Step 3: Subsidy / Grant Proposal

[1118] When a user presses the "Search for subsidies and grants" button, the server retrieves registered company information from the database. Based on the retrieved information, the server runs a subsidy and grant search algorithm to create a recommended list of scored subsidies and grants that match the company information. The server sends this recommended list in JSON format to the terminal, which displays it on the user interface. Specifically, when a user presses the "Search" button, the server executes a database query and returns the appropriate subsidy and grant information with a score.

[1119] input:

[1120] Company information (e.g., "Manufacturing industry," "Tokyo," "50 employees")

[1121] output:

[1122] A list of recommendations in JSON format (e.g., "Small and Medium-sized Enterprise Growth Support Grant" and "Digital Transformation Promotion Grant")

[1123] Step 4: Generate application documents

[1124] When the user selects the desired subsidy or grant from the recommended list, the terminal sends the selected information to the server. The server retrieves past application document data corresponding to the selected subsidy or grant from the database and automatically generates new application documents using generation AI. The generated application documents are sent to the terminal in JSON format, and the terminal displays them on the user interface. Specifically, when the user selects the "Small and Medium-sized Enterprise Growth Support Subsidy," the server retrieves past application document data and generation AI generates new application documents.

[1125] input:

[1126] Selected grants and subsidies in the recommended list (e.g., "Small and Medium-Sized Business Growth Support Grant")

[1127] output:

[1128] Newly generated application documents in JSON format (e.g., "Business Plan" and "Financial Plan")

[1129] Step 5: Final manual check and format conversion

[1130] The user checks the displayed application documents and makes any necessary corrections or additions. The device reflects the user's corrections in real time and sends the new data to the server. The server saves the final corrected data in a database. When the user requests to download the completed application documents, the server converts the application documents into the specified format, such as PDF, and sends a download link to the device. The device displays this link on the user interface, allowing the user to download the application documents. Specifically, when the user corrects the application documents and presses the "Download" button, the server saves the corrected data and converts it into the specified format (e.g., PDF).

[1131] input:

[1132] Amended application documents by the user (e.g., "Amended Business Plan")

[1133] output:

[1134] Downloadable application documents in the specified format (e.g., PDF file download link)

[1135] (Application example 1)

[1136] 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."

[1137] Although many subsidies and grants are available to small and medium-sized enterprises, especially food delivery companies, efficiently searching for them and preparing the appropriate application documents places a heavy burden on them. Furthermore, specialized knowledge is required to prepare documents and convert formats, making it difficult for companies to handle this in-house. As a result, many companies are unable to receive appropriate support and find it difficult to operate.

[1138] 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.

[1139] In this invention, the server includes means for acquiring company information, means for searching for and proposing subsidies and grants based on the acquired company information, means for using generation AI to generate application documents for the selected subsidies and grants, means for the user to review and modify the generated application documents, means for identifying subsidies and grants for food delivery companies, and means for displaying the generated application documents on the user's mobile device and converting them to PDF format or the like. This enables food delivery companies to efficiently search for and select subsidies and grants and quickly proceed with the application process using automatically generated application documents. It also reduces the effort required to convert the generated documents into different formats, making the application process smoother.

[1140] "Company information" refers to basic data held by small and medium-sized enterprises, including website URLs, financial statements, industry, location, number of employees, etc.

[1141] "Subsidies and grants" are forms of financial support provided to businesses by national or local governments, and are awarded for specific conditions or projects.

[1142] "Generative AI" is an artificial intelligence module that automatically generates documents and content using natural language processing and machine learning techniques.

[1143] "User" means the entity that uses this system, including the person in charge or representative of a company who searches for grants and subsidies and creates and modifies application documents.

[1144] "Food delivery company" refers to a company or business that provides the service of delivering food and beverages to customers.

[1145] A "mobile terminal" is an electronic device that is portable and has communication capabilities, such as a smartphone or tablet.

[1146] "PDF format" is an abbreviation for Portable Document Format, and is an electronic file format for displaying and distributing documents without changing their format.

[1147] This invention is a system that helps small and medium-sized enterprises, especially food delivery companies, efficiently utilize subsidies and grants from national and local governments. The system proposes appropriate subsidies and grants based on the user's company information and automatically generates application documents using generation AI.

[1148] System configuration

[1149] The system consists of the following main components:

[1150] server

[1151] Device (mobile device such as smartphone)

[1152] Database

[1153] Generative AI Module

[1154] Program Description

[1155] Company information registration

[1156] First, the user logs in to the system. The user enters basic company information, such as the website URL, financial statements, industry, location, and number of employees. The terminal receives this input data, converts it into JSON format, and sends it to the server. The server stores the received JSON data in a database.

[1157] Recommended grant and subsidy proposals

[1158] When a user presses the "Search for Subsidies and Grants" button, the server retrieves registered company information from the database. Based on the retrieved information, the server runs an algorithm to search for appropriate subsidies and grants. This algorithm takes into account filtering criteria such as industry, location, and company size, scores the applicable subsidies and grants, and creates a recommended list. The recommended list is sent to the terminal in JSON format, and the terminal displays it on the user interface.

[1159] Generate application documents

[1160] When the user selects the desired subsidy or grant from the recommended list, the terminal sends the selected information to the server. The server retrieves past application document data corresponding to the selected subsidy or grant from the database. Based on the retrieved data, the application document is automatically generated using a generation AI module. The server sends the generated application document to the terminal in JSON format. The terminal displays the application document on the user interface.

[1161] Final manual check and format conversion

[1162] The user checks the displayed application documents and makes any necessary corrections or additions. The terminal reflects the user's corrections in real time and sends the new data to the server. The server saves the final corrected data in a database. When the user requests to download the completed application documents, the server converts the application documents into the specified format (e.g., PDF) and sends a download link to the terminal. The terminal displays this link on the user interface, allowing the user to download the application documents.

[1163] Specific examples

[1164] Usage example:

[1165] A food delivery company logs into the system and enters information such as their company's homepage URL, last year's financial statements, industry, location, and number of employees. For example, they enter the homepage URL "https: / / exampledelivery.com," last year's financial statements, industry "food service," location "Tokyo," and number of employees "20." The server saves this information and suggests "Regional Development Subsidy" and "Food Service Industry Support Subsidy" as appropriate subsidies and grants. The user selects "Regional Development Subsidy," and the generation AI creates an application document based on past application documents. Below is an example of a prompt for the generation AI:

[1166] Prompt statement:

[1167] "Please generate a subsidy application form based on the following information: Company information: {Industry: 'Food & Beverage', Location: 'Tokyo', Sales: '10 million yen', Number of employees: '20'}. Please automatically generate the necessary documents based on past application data."

[1168] The system will enable food delivery companies to effortlessly find suitable subsidies and grants, and efficiently prepare and submit application documents.

[1169] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1170] Step 1:

[1171] Process name: Enter company information

[1172] Acting on: User

[1173] Specific operation: The user logs in to the system and enters basic information about their company (website URL, financial statements, industry, location, number of employees, etc.) into the terminal.

[1174] Input: Company information such as website URL, financial statements, industry, location, number of employees, etc.

[1175] Output: Company information data converted to JSON format

[1176] Data processing: Convert input data into JSON format

[1177] Step 2:

[1178] Process name: Save company information

[1179] Actors: Terminals and servers

[1180] Specific operation: The terminal sends the company information converted into JSON format to the server, and the server stores the data in a database.

[1181] Input: Company information data in JSON format

[1182] Output: Company information stored in a database

[1183] Data processing: Save the received JSON data to the database

[1184] Step 3:

[1185] Process name: Subsidy / Grant proposal

[1186] Acting entity: Server

[1187] Specific operation: When a user presses the "Search for grants and subsidies" button, the server retrieves company information from the database and runs an algorithm to search for appropriate grants and subsidies.

[1188] Input: Company information stored in the database

[1189] Output: A list of recommendations in JSON format

[1190] Data processing: Searching and scoring subsidies and grants using filtering algorithms

[1191] Step 4:

[1192] Action Name: View Recommendation List

[1193] Acting on: Device

[1194] Specific operation: The device receives a recommendation list in JSON format sent from the server and displays it in the user interface.

[1195] Input: A list of recommendations in JSON format

[1196] Output: Recommendation list displayed in the user interface

[1197] Data processing: Parsing JSON data and reflecting it in the UI

[1198] Step 5:

[1199] Process name: Generate application documents

[1200] Actors: Server and generative AI module

[1201] Specific operation: The server receives information that the user has selected the desired subsidy or grant from the recommended list, retrieves past application document data from the database, and automatically generates application documents using the generation AI module.

[1202] Input: Selected grant and subsidy information, past application document data

[1203] Output: Generated application document in JSON format

[1204] Data processing: Automatic generation of application documents using a generative AI module

[1205] Step 6:

[1206] Process name: Display and confirm generated application documents

[1207] Actors: Devices and users

[1208] Specific operation: The terminal receives the application document data sent from the server and displays it on the user interface. The user checks the application document and makes corrections as necessary.

[1209] Input: Generated application documents in JSON format

[1210] Output: Application documents displayed in the user interface

[1211] Data processing: Parsing JSON data and reflecting it in the UI

[1212] Step 7:

[1213] Process name: Save final modified data

[1214] Actors: Terminals and servers

[1215] Specific operation: The device reflects the user's modifications in real time and sends them to the server, which then stores the final modified data in a database.

[1216] Input: User-modified data

[1217] Output: Final corrections stored in the database

[1218] Data processing: Real-time reflection and database storage

[1219] Step 8:

[1220] Processing name: Format conversion of application documents and provision of downloads

[1221] Actors: Servers and terminals

[1222] Specific operation: When a user requests to download a completed application, the server converts the application into the specified format (e.g., PDF) and generates a download link. The device displays this link in the user interface.

[1223] Input: Final corrected data

[1224] Output: Download link

[1225] Data processing: format conversion and link generation

[1226] 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.

[1227] This invention is a system that enables small and medium-sized enterprises to efficiently utilize subsidies and grants from national and local governments. The system starts by acquiring company information, then creates application documents using generative AI, and combines it with an emotion engine that recognizes the user's emotions and provides support.

[1228] System configuration

[1229] The system consists of the following main components:

[1230] server

[1231] Terminal

[1232] Database

[1233] Generative AI Module

[1234] Emotion Engine

[1235] Program processing explanation

[1236] Company information registration

[1237] First, the user logs in to the system. The user enters basic company information, such as the website URL, financial statements, industry, location, and number of employees. The terminal receives this input data, converts it into JSON format, and sends it to the server. The server stores the received JSON data in a database.

[1238] Recommended grant and subsidy proposals

[1239] When a user presses the "Search for Subsidies and Grants" button, the server retrieves registered company information from the database. Based on the retrieved information, the server runs an algorithm to search for appropriate subsidies and grants. This algorithm takes into account filtering criteria such as industry, location, and company size, as well as the user's emotional state, and scores the applicable subsidies and grants to create a recommended list. The recommended list is sent to the terminal in JSON format, and the terminal displays it on the user interface.

[1240] Generate application documents

[1241] When the user selects the desired subsidy or grant from the recommended list, the terminal sends the selected information to the server. The server retrieves past application document data corresponding to the selected subsidy or grant from the database. Based on the retrieved data, the application document is automatically generated using a generation AI module. The server sends the generated application document to the terminal in JSON format. The terminal displays the application document on the user interface.

[1242] Final manual check and format conversion

[1243] The user checks the displayed application documents and makes any necessary corrections or additions. During this time, the emotion engine recognizes emotions from the user's facial expressions and voice and monitors their stress level. The device reflects the user's corrections in real time and sends the new data to the server. The server stores the final corrected data in a database. If the user receives a stress alert from the emotion engine, assistance and guidance are provided.

[1244] When a user requests to download the completed application, the server converts the application into the specified format (e.g., PDF), generates a download link, and sends it to the terminal, which displays the link on the user interface and allows the user to download the application.

[1245] Specific examples

[1246] As a concrete example, consider the case where a user enters their company's homepage URL "https: / / examplecompany.com," last year's financial statements, industry "manufacturing," location "Tokyo," and number of employees "50" into the system. The server saves this information and suggests appropriate subsidies and grants, such as the "Small and Medium-sized Enterprise Growth Support Subsidy" and the "Digital Transformation Promotion Subsidy." The user selects the "Small and Medium-sized Enterprise Growth Support Subsidy," and the generation AI creates business plans and financial plans based on past application documents. The user then reviews and modifies these documents, and finally downloads and submits them in PDF format.

[1247] Furthermore, an emotion engine detects the user's stress during this process and provides alerts and assistance as needed, enabling efficient application procedures while reducing the user's mental burden. This system allows small and medium-sized enterprises to easily find suitable grants and subsidies, and efficiently prepare and submit application documents with minimal stress.

[1248] The processing flow will be explained below.

[1249] Step 1:

[1250] Users log in to the system and enter company information such as their homepage URL, financial statements, industry, location, and number of employees.

[1251] Step 2:

[1252] The terminal receives the entered company information and converts it into JSON format.

[1253] Step 3:

[1254] The terminal sends the converted JSON data to the server.

[1255] Step 4:

[1256] The server stores the received JSON data in a database.

[1257] Step 5:

[1258] The user presses the "Search for grants and subsidies" button.

[1259] Step 6:

[1260] The emotion engine recognizes emotions in real time from the user's voice input and facial expressions and sends that data to the device.

[1261] Step 7:

[1262] The server retrieves registered company information from the database.

[1263] Step 8:

[1264] The server runs an algorithm to search for suitable grants and subsidies based on registered company information.

[1265] Step 9:

[1266] The server scores grants and subsidies based on filtering criteria such as industry, location, company size, and even the user's emotional state, and creates a recommended list.

[1267] Step 10:

[1268] The server converts the recommendation list into JSON format and sends it to the device.

[1269] Step 11:

[1270] The terminal displays the sent recommendation list on the user interface.

[1271] Step 12:

[1272] The user selects the desired grant or subsidy from a list of recommendations.

[1273] Step 13:

[1274] The terminal transmits information about the selected subsidy or grant to the server.

[1275] Step 14:

[1276] The server retrieves from a database past application data corresponding to the selected grant or subsidy.

[1277] Step 15:

[1278] The server calls the generation AI module based on the acquired application document data and starts the automatic generation process.

[1279] Step 16:

[1280] The generation AI module analyzes past application document data and generates new application documents based on specified templates.

[1281] Step 17:

[1282] The generation AI module exports the generated application documents in JSON format and sends them to the server.

[1283] Step 18:

[1284] The server transmits the generated application documents to the terminal.

[1285] Step 19:

[1286] The terminal displays the application documents on a user interface, and the emotion engine monitors the user's stress level and provides appropriate alerts and assistance as needed.

[1287] Step 20:

[1288] The user checks the generated application documents and makes any necessary corrections or additions.

[1289] Step 20:

[1290] The terminal reflects the user's input in real time and transmits the updated application document data to the server.

[1291] Step 21:

[1292] The server stores the corrected application document data in a database.

[1293] Step 22:

[1294] The user presses a button to download the completed application.

[1295] Step 23:

[1296] The terminal sends a download request to the server.

[1297] Step 24:

[1298] The server converts the completed application documents into a specified format, such as PDF, and generates a download link.

[1299] Step 25:

[1300] The server sends the generated download link to the terminal.

[1301] Step 26:

[1302] The terminal displays a download link to the user, allowing the user to download the application documents.

[1303] Example 2

[1304] 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."

[1305] In order for small and medium-sized enterprises to efficiently utilize subsidies and grants from national and local governments, they need to organize and analyze large amounts of information, find appropriate subsidies and grants, and prepare application documents. However, these tasks are typically time-consuming and place a significant burden on users, especially those without specialized knowledge. Furthermore, stress and mistakes caused by changes in users' emotional state when searching for subsidies and grants and preparing application documents are also issues that need to be addressed. An efficient system that solves these problems is needed.

[1306] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1307] In this invention, the server includes: means for a user to log in to the system and input company information; means for the terminal to convert the input company information into JSON format and send it to the server; means for the server to save the sent company information in a database; means for the user to search for subsidies and grants by pressing a button; means for the server to retrieve company information from the database, search for subsidies and grants taking into account filtering conditions and the user's emotional state, score them, and create a recommendation list; means for sending the recommendation list in JSON format to the terminal and displaying it on a user interface; means for the user to select a desired subsidy or grant and the terminal to send that information to the server; means for the server to retrieve past application document data from the database and automatically generate application documents using a generation AI module; means for sending the generated application documents in JSON format to the terminal and displaying them on the user interface; means for the user to check and correct the application documents; means for an emotion engine to monitor the user's emotional state and provide assistance and guidance; means for the user to request downloading of the completed application documents, the server to convert the application documents into a specified format, generate a download link, and send it to the terminal; and means for the terminal to display the download link on the user interface. This allows small and medium-sized businesses to effortlessly find the right grants and subsidies, and efficiently prepare and submit application documents with minimal stress.

[1308] "User" refers to a company or its personnel who uses the system to search for subsidies and grants and prepare application documents.

[1309] A "terminal" is hardware such as a computer or mobile device that is operated by a user to input and display information.

[1310] A "server" is a computer system on a network that receives, stores, and processes data sent by users and sends the necessary information to terminals.

[1311] A "database" is a data storage system that is accessed by a server and used to store and manage company information and past application document data.

[1312] The "generative AI module" is a software module that uses artificial intelligence to automatically generate new application documents based on past application document data.

[1313] The "emotion engine" is a program that recognizes the user's emotional state, monitors stress levels, and provides assistance.

[1314] The "JSON format" is a lightweight data interchange format for storing and transmitting structured data.

[1315] "Subsidies and grants" are financial assistance provided by national and local governments to support business activities.

[1316] "Filtering conditions" are criteria for obtaining appropriate results when searching for subsidies and grants based on company information, industry, location, company size, etc.

[1317] A "prompt sentence" is a sentence-form instruction input to the generation AI module.

[1318] A "user interface" is a screen display and operating environment that allows a user to interact with a system.

[1319] A "download link" is a link on the Internet that allows a user to download application documents in a specified format.

[1320] This invention is a system that enables small and medium-sized enterprises to efficiently utilize subsidies and grants from national and local governments. The system starts by acquiring company information, then creates application documents using generative AI, and combines it with an emotion engine that recognizes the user's emotions and provides support.

[1321] System configuration

[1322] The system consists of the following main components:

[1323] server

[1324] Terminal

[1325] Database

[1326] Generative AI Module

[1327] Emotion Engine

[1328] Specific implementation methods

[1329] First, the user logs in to the system and enters basic information about their company (website URL, financial statements, industry, location, number of employees, etc.). The terminal converts this input data into JSON format and sends it to the server. The server then stores the received JSON data in a database.

[1330] When a user presses the "Search for Subsidies and Grants" button, the server retrieves registered company information from the database and runs an algorithm to search for appropriate subsidies and grants. This algorithm takes into account filtering criteria such as industry, location, and company size, as well as the user's emotional state analyzed by the emotion engine. It scores the applicable subsidies and grants and creates a recommendation list. The recommendation list is sent to the terminal in JSON format, and the terminal displays it on the user interface.

[1331] When the user selects the desired subsidy or grant from the recommended list, the device sends the selected information to the server. The server retrieves past application document data from the database and automatically generates application documents using the generation AI module. The generated application documents are sent to the device in JSON format, and the device displays them on the user interface.

[1332] The user checks the displayed application documents and makes any necessary corrections or additions. During this time, the emotion engine recognizes emotions from the user's facial expressions and voice and monitors their stress level. The device reflects the user's corrections in real time and sends the new data to the server. The server then saves the final corrected data in a database.

[1333] When a user requests to download the completed application, the server converts the application into the specified format (e.g., PDF), generates a download link, and sends it to the terminal, which displays this link in its user interface so that the user can download the application.

[1334] Specific examples

[1335] As a concrete example, consider the case where a user enters their company's homepage URL "https: / / examplecompany.com," last year's financial statements, industry "manufacturing," location "Tokyo," and number of employees "50" into the system. The server saves this information and suggests appropriate subsidies and grants, such as the "Small and Medium-sized Enterprise Growth Support Subsidy" and the "Digital Transformation Promotion Subsidy." The user selects the "Small and Medium-sized Enterprise Growth Support Subsidy," and the generation AI module creates business plans and financial plans based on past application documents. The user then reviews and modifies these documents, and finally downloads and submits them in PDF format.

[1336] During this process, the emotion engine detects the user's stress and provides alerts and assistance as needed, reducing the user's mental burden and enabling an efficient application process.

[1337] Prompt Sentence Examples

[1338] Enter the following prompt into the generative AI model:

[1339] Please prepare a business plan and financial plan to apply for the Small and Medium Enterprise Growth Support Subsidy. Please provide the following basic information about your company:

[1340] Homepage URL: https: / / examplecompany.com

[1341] Industry: Manufacturing

[1342] Location: Tokyo

[1343] Number of employees: 50

[1344] Last year's financial statements: (Financial statement data details)

[1345] The system allows small and medium-sized businesses to effortlessly find suitable grants and subsidies, and efficiently prepare and submit application documents with minimal stress.

[1346] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1347] Step 1:

[1348] The user enters their ID and password on the system's login screen and presses the "Login" button.

[1349] Input: User ID and password

[1350] Operation: The terminal receives the user's input and sends the data to the server, which then refers to the authentication database and performs the authentication process.

[1351] Output: If authentication is successful, the user is redirected to the company information entry screen. If unsuccessful, an error message is displayed.

[1352] Step 2:

[1353] On the company information input screen, users enter basic information such as the company's homepage URL, financial statements, industry, location, and number of employees into a form.

[1354] Input: Basic company information (website URL, financial statements, industry, location, number of employees, etc.)

[1355] How it works: When the "Submit" button is pressed, the device converts the input data into JSON format, then sends it to the server as an HTTP POST request.

[1356] Output: The server saves the received JSON data to the company information table in the database. If the save is successful, a confirmation message is displayed.

[1357] Step 3:

[1358] The user selects the "Search for Grants and Subsidies" option from the menu and presses the "Search" button that appears on the screen.

[1359] Input: User search request

[1360] How it works: The server queries registered company information from the database to retrieve the required information, then runs a search algorithm to find suitable grants and subsidies, taking into account filtering criteria (industry, location, company size, etc.) and the user's emotional state as analyzed by the emotion engine.

[1361] Output: The server scores the applicable grants and subsidies and generates a recommendation list. The list is converted to JSON format and sent to the terminal. The terminal displays the recommendation list in a user interface.

[1362] Step 4:

[1363] Users click to select the grant or subsidy they want from the recommended list.

[1364] Input: Selected grant or subsidy information

[1365] How it works: The device sends the selected information in JSON format to the server, which queries and retrieves past application data from a database.

[1366] Output: Retrieved past application document data

[1367] Step 5:

[1368] The server generates application documents using a generation AI module.

[1369] Input: Past application data and prompt text

[1370] Operation: The server inputs the acquired data into the generation AI module to generate application documents.

[1371] Output: Generated application documents (JSON format)

[1372] Step 6:

[1373] The server converts the generated application documents into JSON format and sends them to the terminal, which displays the documents on its user interface.

[1374] Input: Generated application documents (JSON format)

[1375] Behavior: The device displays the received data in a user interface that the user can edit.

[1376] Output: Application documents displayed in the user interface

[1377] Step 7:

[1378] The user checks the displayed application documents and makes any necessary corrections or additions.

[1379] Input: Application documents and user corrections / additions

[1380] How it works: The emotion engine analyzes the user's facial expressions and voice in real time and monitors their emotional state (e.g., stress level). The device updates the data in real time and sends it to the server. The server then stores the updated data in a database.

[1381] Output: Corrected application

[1382] Step 8:

[1383] If the user wishes to download the application documents, he or she clicks on the "Download" button.

[1384] Input: Download request

[1385] What it does: The server converts the application documents into the specified format (e.g. PDF) and generates a download link.

[1386] Output: Download link

[1387] Step 9:

[1388] The terminal displays the generated download link on the user interface.

[1389] Input: Download link

[1390] How it works: The device displays a download link in its user interface, allowing the user to download with one click.

[1391] Output: The application document is available for the user to download.

[1392] (Application example 2)

[1393] 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."

[1394] The traditional process for applying for subsidies and grants is extremely complicated and cumbersome for small and medium-sized enterprises. In particular, preparing application documents requires a great deal of time and effort, and the stress of completing the documents often places a mental burden on users. Furthermore, it is difficult to find appropriate subsidies and grants, preventing many small and medium-sized enterprises from benefiting from them. A system is needed to solve these issues, streamline the application process, and reduce the mental burden on users.

[1395] 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.

[1396] In this invention, the server includes means for acquiring company information, means for searching for and proposing subsidies and grants based on the acquired company information, means for using a generation AI to generate application documents for the selected subsidies and grants, means for using an emotion engine to recognize and support the user's emotions, and means for the user to check and correct the generated application documents. This makes it possible to streamline the application process for subsidies and grants and reduce the mental burden on the user.

[1397] "Company information" refers to basic information about a company, including, for example, the website URL, financial statements, industry, location, number of employees, etc.

[1398] "Subsidies and grants" are funds provided by public institutions such as the national and local governments to companies and individuals for specific purposes.

[1399] "Recommendation" refers to the act of the system showing the user the most suitable subsidies and grants based on the search results.

[1400] "Application documents" refers to the set of documents required to apply for subsidies and grants, which may include a business plan, financial plan, etc.

[1401] "Generative AI" refers to a system or algorithm that uses artificial intelligence techniques to automatically generate necessary documents or text based on historical data or specific prompts.

[1402] An "emotion engine" is a software module that analyzes a user's facial expressions and voice data to recognize the user's emotional state and stress level.

[1403] "User" refers to a company representative or individual who uses the system to process grant and subsidy applications.

[1404] A "database" is a system for systematically storing acquired company information, generated application documents, and information on subsidies and grants, and managing it in a manner that allows for search and analysis.

[1405] This invention is a system for streamlining the application process for subsidies and grants, and reducing the mental burden that accompanies it. The system is primarily composed of a server, terminals, a database, a generative AI module, and an emotion engine.

[1406] 1. User information registration

[1407] A user logs in to the system and enters company information (such as the website URL, financial statements, industry, location, number of employees, etc.) into the system's terminal. The terminal converts this input data into JSON format and sends it to the server. The server stores the received JSON data in a database.

[1408] 2. Proposing appropriate subsidies and grants

[1409] When a user presses the "Search for Subsidies and Grants" button, the server retrieves registered company information from the database. Based on this retrieved information, the server considers filtering criteria such as industry, location, and company size, as well as the user's emotional state, searches for applicable subsidies and grants, scores them, and creates a recommendation list. This recommendation list is sent to the terminal in JSON format, and the terminal displays it on the user interface.

[1410] 3. Generate application documents

[1411] When the user selects the desired subsidy or grant from the recommended list, the terminal sends the selected information to the server. The server retrieves past application document data corresponding to the selected subsidy or grant from the database and automatically generates application documents based on the retrieved data using a generation AI module. The generated application documents are sent to the terminal in JSON format, and the terminal displays them on the user interface.

[1412] 4. Final manual check and format conversion

[1413] The user checks the displayed application documents and makes any necessary corrections or additions. During this time, the emotion engine recognizes emotions from the user's facial expressions and voice and monitors their stress level. The device reflects the user's corrections in real time and sends the new data to the server. The server stores the final correction data in a database, and provides assistance and guidance if the user receives a stress alert from the emotion engine. When the user requests to download the completed application documents, the server converts the application documents into the specified format (e.g., PDF), generates a download link, and sends it to the device. The device displays this link on the user interface, allowing the user to download the application documents.

[1414] Hardware and Software Used

[1415] The system is built using the following hardware and software:

[1416] Hardware: smartphone or head-mounted display (e.g. HoloLens), server, cloud database

[1417] Software: User interface (iOS / Android app), backend server (Node.js or Python / Django), generative AI module (OpenAI GPT-4), emotion engine (emotion recognition API such as Affectiva)

[1418] Specific examples

[1419] For example, consider a security company representative applying for a new security contract. The representative logs in to the app and enters their company information. After that, they tap the "Create Application" button, and the app uses generative AI to automatically generate a draft contract application. The app's emotion engine monitors the representative's stress level and provides appropriate guidance if high stress levels are detected.

[1420] Example prompt for a generative AI model:

[1421] Please complete a security contract application based on the following information:

[1422] Company Name: [Company Name]

[1423] Location: [Location]

[1424] Contractor: [Contractor Name]

[1425] Contract period: [Contract period]

[1426] Services provided: [Service details]

[1427] Please refer to the following format:

[1428] [Opening of application form]

[1429] [Contract details]

[1430] [General Information]

[1431] [Signature / Seal]

[1432] This system streamlines the process of applying for grants and subsidies, reducing the mental burden on users.

[1433] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1434] Step 1:

[1435] The user logs in to the system and enters company information, such as the website URL, financial statements, industry, location, and number of employees. The terminal converts this input data into JSON format and sends it to the server. The server then stores the received JSON data in a database.

[1436] Input: Company information such as website URL, financial statements, industry, location, number of employees, etc.

[1437] Output: Company information in JSON format.

[1438] Step 2:

[1439] When a user presses the "Search for Subsidies and Grants" button, the server retrieves registered company information from the database. Based on the retrieved information, the server searches for relevant subsidies and grants, taking into account filtering conditions such as industry, location, and company size, as well as the user's emotional state.

[1440] Input: Company information stored in the database.

[1441] Output: A list of grants and subsidies based on your filtering criteria.

[1442] Step 3:

[1443] The server scores the subsidies and grants obtained based on the filtering criteria and creates a recommendation list, which is sent to the terminal in JSON format and displayed on the terminal's user interface.

[1444] Input: A list of grants and subsidies based on filtering criteria.

[1445] Output: A list of recommendations in JSON format.

[1446] Step 4:

[1447] When the user selects the desired subsidy or grant from the recommended list, the terminal transmits the selected information to the server, which retrieves the past application document data corresponding to the selected subsidy or grant from the database.

[1448] Input: The grant or subsidy selected by the user.

[1449] Output: Past application data.

[1450] Step 5:

[1451] The server automatically generates application documents using a generation AI module based on the acquired data. The generated application documents are sent in JSON format to the terminal, which then displays them on the user interface.

[1452] Input: Historical application data, generative AI model.

[1453] Output: Auto-generated application documents.

[1454] Step 6:

[1455] The user checks the displayed application documents and makes any necessary corrections or additions, while the emotion engine analyzes the user's facial expressions and voice to recognize emotions and monitor stress levels.

[1456] Input: Auto-generated application form, user facial and voice data.

[1457] Output: Corrected application form, emotional state data.

[1458] Step 7:

[1459] The device reflects the user's corrections in real time and sends the new data to the server, which stores the final corrections in a database. If the user receives a stress alert, assistance and guidance are displayed.

[1460] Input: User-modified data.

[1461] Output: Updated application data, assistance and guidance.

[1462] Step 8:

[1463] When a user requests to download the completed application, the server converts the application into the specified format (e.g., PDF), generates a download link, and sends it to the terminal, which displays this link on its user interface so that the user can download the application.

[1464] Input: Completed application documents.

[1465] Output: Application documents in PDF format and download link.

[1466] 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.

[1467] 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.

[1468] 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.

[1469] [Fourth embodiment]

[1470] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1471] 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.

[1472] 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).

[1473] 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.

[1474] 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.

[1475] 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).

[1476] 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.

[1477] 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.

[1478] 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.

[1479] 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.

[1480] 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.

[1481] 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.

[1482] 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."

[1483] This invention is a system that helps small and medium-sized enterprises efficiently utilize subsidies and grants from the national and local governments. This system uses generative AI to propose subsidies and grants and to prepare application documents.

[1484] System configuration

[1485] The system consists of the following main components:

[1486] server

[1487] Terminal

[1488] Database

[1489] Generative AI Module

[1490] Program processing explanation

[1491] Company information registration

[1492] First, the user logs in to the system. The user enters basic company information, such as the website URL, financial statements, industry, location, and number of employees. The terminal receives this input data, converts it into JSON format, and sends it to the server. The server stores the received JSON data in a database.

[1493] Recommended grant and subsidy proposals

[1494] When a user presses the "Search for Subsidies and Grants" button, the server retrieves registered company information from the database. Based on the retrieved information, the server runs an algorithm to search for appropriate subsidies and grants. This algorithm takes into account filtering criteria such as industry, location, and company size, scores the applicable subsidies and grants, and creates a recommended list. The recommended list is sent to the terminal in JSON format, and the terminal displays it on the user interface.

[1495] Generate application documents

[1496] When the user selects the desired subsidy or grant from the recommended list, the terminal sends the selected information to the server. The server retrieves past application document data corresponding to the selected subsidy or grant from the database. Based on the retrieved data, the application document is automatically generated using a generation AI module. The server sends the generated application document to the terminal in JSON format. The terminal displays the application document on the user interface.

[1497] Final manual check and format conversion

[1498] The user checks the displayed application documents and makes any necessary corrections or additions. The terminal reflects the user's corrections in real time and sends the new data to the server. The server saves the final corrected data in a database. When the user requests to download the completed application documents, the server converts the application documents into the specified format (e.g., PDF) and sends a download link to the terminal. The terminal displays this link on the user interface, allowing the user to download the application documents.

[1499] Specific examples

[1500] As a concrete example, consider the case where a user enters their company's homepage URL "https: / / examplecompany.com," last year's financial statements, industry "manufacturing," location "Tokyo," and number of employees "50" into the system. The server saves this information and suggests appropriate subsidies and grants, such as the "Small and Medium-sized Enterprise Growth Support Subsidy" and the "Digital Transformation Promotion Subsidy." The user selects the "Small and Medium-sized Enterprise Growth Support Subsidy," and the generation AI creates business plans and financial plans based on past application documents. The user then reviews and modifies these documents, and finally downloads and submits them in PDF format.

[1501] The system will enable small and medium-sized businesses to effortlessly find suitable subsidies and grants, and efficiently prepare and submit application documents.

[1502] The processing flow will be explained below.

[1503] Step 1:

[1504] Users log in to the system and enter company information such as their homepage URL, financial statements, industry, location, and number of employees.

[1505] Step 2:

[1506] The terminal receives the entered company information and converts it into JSON format.

[1507] Step 3:

[1508] The terminal sends the converted JSON data to the server.

[1509] Step 4:

[1510] The server stores the received JSON data in a database.

[1511] Step 5:

[1512] The user presses the "Search for grants and subsidies" button.

[1513] Step 6:

[1514] The server retrieves registered company information from the database.

[1515] Step 7:

[1516] The server runs an algorithm to search for suitable grants and subsidies based on registered company information.

[1517] Step 8:

[1518] The server scores subsidies and grants based on filtering criteria such as industry, location, and company size, and creates a recommended list.

[1519] Step 9:

[1520] The server converts the recommendation list into JSON format and sends it to the device.

[1521] Step 10:

[1522] The terminal displays the sent recommendation list on the user interface.

[1523] Step 11:

[1524] The user selects the desired grant or subsidy from a list of recommendations.

[1525] Step 12:

[1526] The terminal transmits information about the selected subsidy or grant to the server.

[1527] Step 13:

[1528] The server retrieves from a database past application data corresponding to the selected grant or subsidy.

[1529] Step 14:

[1530] The server calls the generation AI module based on the acquired application document data and starts the automatic generation process.

[1531] Step 15:

[1532] The generation AI module analyzes past application document data and generates new application documents based on specified templates.

[1533] Step 16:

[1534] The generation AI module exports the generated application documents in JSON format and sends them to the server.

[1535] Step 17:

[1536] The server transmits the generated application documents to the terminal.

[1537] Step 18:

[1538] The terminal displays the application documents on a user interface.

[1539] Step 19:

[1540] The user checks the generated application documents and makes any necessary corrections or additions.

[1541] Step 20:

[1542] The terminal reflects the user's input in real time and transmits the updated application document data to the server.

[1543] Step 21:

[1544] The server stores the corrected application document data in a database.

[1545] Step 22:

[1546] The user presses a button to download the completed application.

[1547] Step 23:

[1548] The terminal sends a download request to the server.

[1549] Step 24:

[1550] The server converts the completed application documents into a specified format, such as PDF, and generates a download link.

[1551] Step 25:

[1552] The server sends the generated download link to the terminal.

[1553] Step 26:

[1554] The terminal displays a download link to the user, allowing the user to download the application documents.

[1555] Example 1

[1556] 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."

[1557] There is a problem in that it is difficult for small and medium-sized enterprises to efficiently utilize subsidies and grants from the national and local governments. Specifically, it takes a great deal of time and effort to gather information to find appropriate subsidies and grants and to prepare application documents based on that information. There is a need to streamline this process and make it easier for small and medium-sized enterprises to apply for subsidies and grants.

[1558] 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.

[1559] In this invention, the server includes means for acquiring company information, means for saving the acquired company information in a database, means for searching for subsidies and grants based on the saved company information, scoring them, and generating a recommended list, means for automatically generating application documents for the selected subsidies and grants using a generation AI, means for the user to review and modify the generated application documents, and means for converting the modified application documents into a specified format. This enables small and medium-sized enterprises to efficiently find appropriate subsidies and grants, and simplifies the process from creating application documents to final submission.

[1560] The "means for acquiring company information" is a means for receiving basic information about a company entered by a user (for example, homepage URL, industry, location, number of employees, financial statements, etc.).

[1561] "Means for storing in a database" refers to means for recording acquired company information and generated data in a database in a format that can be stored and managed for a long period of time.

[1562] The "means for searching for subsidies and grants, scoring them, and generating a recommended list" refers to a means for algorithmically extracting appropriate subsidies and grants based on stored company information, scoring their importance and applicability, and creating a recommended list for the user.

[1563] "Means for automatic generation using generative AI" refers to a means for automatically creating new application documents for selected subsidies or grants using artificial intelligence based on past application document data.

[1564] The "means for user confirmation and correction" refers to a means for displaying the generated application documents on a user interface, allowing the user to confirm and correct the contents.

[1565] The "means of converting to a specified format" refers to the means of converting the final revised application documents into a specified format, such as PDF.

[1566] A "server" is a central computing device that processes data for the entire system and manages and provides information in cooperation with users and terminals.

[1567] "Device" refers to the computer or mobile device that a user uses to enter information or view results.

[1568] This invention is a system that helps small and medium-sized enterprises efficiently utilize subsidies and grants from the national and local governments. This system efficiently performs a series of processes including registering company information, proposing subsidies and grants, generating and checking application documents, and converting them into the final format.

[1569] First, the user logs in to the system. The user enters basic company information (website URL, industry, location, number of employees, financial statements, etc.) on the dashboard. The terminal converts this data into JSON format and sends it to the server. The server stores the received JSON data in a database.

[1570] For example, if a user enters their company's homepage URL "https: / / examplecompany.com", industry "manufacturing", location "Tokyo", number of employees "50", and last year's financial statements, this information is converted into JSON format and sent to the server as the following data:

[1571] json

[1572] {

[1573] "user_id": "12345",

[1574] "company_info": {

[1575] "url": "https: / / examplecompany.com",

[1576] "industry": "manufacturing",

[1577] "location": "Tokyo",

[1578] "employees": 50,

[1579] "financial_statements": "financial_statement.pdf"

[1580] }

[1581] }

[1582] Next, when the user presses the "Search for subsidies and grants" button, the server retrieves registered company information from the database. Based on the retrieved information, the server runs an algorithm to search for appropriate subsidies and grants. This algorithm takes into account conditions such as industry, location, and company size, scores applicable subsidies and grants, and creates a recommended list. The server sends the recommended list in JSON format to the terminal, which displays it on the user interface. For example, the server might suggest "Subsidies to Support Growth of Small and Medium-sized Enterprises" and "Subsidies to Promote Digital Transformation."

[1583] When the user selects the desired subsidy or grant from the recommended list, the device sends the selected information to the server. The server retrieves past application document data corresponding to the selected subsidy or grant from the database and automatically generates application documents based on that data using generation AI. The generated application documents are sent to the device in JSON format, and the device displays them on the user interface.

[1584] For example, if a user selects the "Small and Medium-sized Enterprise Growth Support Subsidy," the generation AI creates a business plan and financial plan based on past application documents. The user can then review and modify these application documents. The modified information is updated in real time and sent to the server as new data. Finally, when the user requests to download the completed application documents, the server converts the application documents into the specified format, such as PDF, and sends a download link to the device. The user clicks the link to download the application documents.

[1585] An example of a prompt sentence is, "Our company's homepage URL is https: / / examplecompany.com. Last year's financial statements are as follows. The industry is manufacturing, the company is located in Tokyo, and the company has 50 employees. Please suggest appropriate subsidies and grants for this."

[1586] This system enables small and medium-sized enterprises to efficiently find appropriate subsidies and grants, and to quickly and accurately prepare and submit application documents.

[1587] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1588] Step 1: User Login

[1589] The user accesses the system's login screen and enters their username and password. Based on the entered information, the terminal creates a user authentication request and sends it to the server. The server compares the entered information with the authentication information stored in the database, and if authentication is successful, it creates a user session and notifies the user to transition to the dashboard screen. Specifically, the user enters "example_user" and "example_password" and presses the "Login" button, and the server executes a database query to perform authentication.

[1590] input:

[1591] Username and password (e.g., "example_user", "example_password")

[1592] output:

[1593] User session creation and redirect notification to the dashboard

[1594] Step 2: Register your company information

[1595] After logging in, the user accesses the "Enter Company Information" section from the dashboard screen and enters company information such as the homepage URL, industry, location, number of employees, and financial statements. The terminal converts this input data into JSON format and sends it to the server. The server then stores the received JSON data in a database. Specifically, when the user enters "company information" and presses the "Save" button, the terminal receives the input information, converts it into JSON format, and sends it to the server.

[1596] input:

[1597] Company basic information (e.g., "https: / / examplecompany.com", "Manufacturing", "Tokyo", "50 employees", "financial_statement.pdf")

[1598] output:

[1599] Send it to the server as JSON format data and save it in the database

[1600] Step 3: Subsidy / Grant Proposal

[1601] When a user presses the "Search for subsidies and grants" button, the server retrieves registered company information from the database. Based on the retrieved information, the server runs a subsidy and grant search algorithm to create a recommended list of scored subsidies and grants that match the company information. The server sends this recommended list in JSON format to the terminal, which displays it on the user interface. Specifically, when a user presses the "Search" button, the server executes a database query and returns the appropriate subsidy and grant information with a score.

[1602] input:

[1603] Company information (e.g., "Manufacturing industry," "Tokyo," "50 employees")

[1604] output:

[1605] A list of recommendations in JSON format (e.g., "Small and Medium-sized Enterprise Growth Support Grant" and "Digital Transformation Promotion Grant")

[1606] Step 4: Generate application documents

[1607] When the user selects the desired subsidy or grant from the recommended list, the terminal sends the selected information to the server. The server retrieves past application document data corresponding to the selected subsidy or grant from the database and automatically generates new application documents using generation AI. The generated application documents are sent to the terminal in JSON format, and the terminal displays them on the user interface. Specifically, when the user selects the "Small and Medium-sized Enterprise Growth Support Subsidy," the server retrieves past application document data and generation AI generates new application documents.

[1608] input:

[1609] Selected grants and subsidies in the recommended list (e.g., "Small and Medium-Sized Business Growth Support Grant")

[1610] output:

[1611] Newly generated application documents in JSON format (e.g., "Business Plan" and "Financial Plan")

[1612] Step 5: Final manual check and format conversion

[1613] The user checks the displayed application documents and makes any necessary corrections or additions. The device reflects the user's corrections in real time and sends the new data to the server. The server saves the final corrected data in a database. When the user requests to download the completed application documents, the server converts the application documents into the specified format, such as PDF, and sends a download link to the device. The device displays this link on the user interface, allowing the user to download the application documents. Specifically, when the user corrects the application documents and presses the "Download" button, the server saves the corrected data and converts it into the specified format (e.g., PDF).

[1614] input:

[1615] Amended application documents by the user (e.g., "Amended Business Plan")

[1616] output:

[1617] Downloadable application documents in the specified format (e.g., PDF file download link)

[1618] (Application example 1)

[1619] 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."

[1620] Although many subsidies and grants are available to small and medium-sized enterprises, especially food delivery companies, efficiently searching for them and preparing the appropriate application documents places a heavy burden on them. Furthermore, specialized knowledge is required to prepare documents and convert formats, making it difficult for companies to handle this in-house. As a result, many companies are unable to receive appropriate support and find it difficult to operate.

[1621] 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.

[1622] In this invention, the server includes means for acquiring company information, means for searching for and proposing subsidies and grants based on the acquired company information, means for using generation AI to generate application documents for the selected subsidies and grants, means for the user to review and modify the generated application documents, means for identifying subsidies and grants for food delivery companies, and means for displaying the generated application documents on the user's mobile device and converting them to PDF format or the like. This enables food delivery companies to efficiently search for and select subsidies and grants and quickly proceed with the application process using automatically generated application documents. It also reduces the effort required to convert the generated documents into different formats, making the application process smoother.

[1623] "Company information" refers to basic data held by small and medium-sized enterprises, including website URLs, financial statements, industry, location, number of employees, etc.

[1624] "Subsidies and grants" are forms of financial support provided to businesses by national or local governments, and are awarded for specific conditions or projects.

[1625] "Generative AI" is an artificial intelligence module that automatically generates documents and content using natural language processing and machine learning techniques.

[1626] "User" means the entity that uses this system, including the person in charge or representative of a company who searches for grants and subsidies and creates and modifies application documents.

[1627] "Food delivery company" refers to a company or business that provides the service of delivering food and beverages to customers.

[1628] A "mobile terminal" is an electronic device that is portable and has communication capabilities, such as a smartphone or tablet.

[1629] "PDF format" is an abbreviation for Portable Document Format, and is an electronic file format for displaying and distributing documents without changing their format.

[1630] This invention is a system that helps small and medium-sized enterprises, especially food delivery companies, efficiently utilize subsidies and grants from national and local governments. The system proposes appropriate subsidies and grants based on the user's company information and automatically generates application documents using generation AI.

[1631] System configuration

[1632] The system consists of the following main components:

[1633] server

[1634] Device (mobile device such as smartphone)

[1635] Database

[1636] Generative AI Module

[1637] Program Description

[1638] Company information registration

[1639] First, the user logs in to the system. The user enters basic company information, such as the website URL, financial statements, industry, location, and number of employees. The terminal receives this input data, converts it into JSON format, and sends it to the server. The server stores the received JSON data in a database.

[1640] Recommended grant and subsidy proposals

[1641] When a user presses the "Search for Subsidies and Grants" button, the server retrieves registered company information from the database. Based on the retrieved information, the server runs an algorithm to search for appropriate subsidies and grants. This algorithm takes into account filtering criteria such as industry, location, and company size, scores the applicable subsidies and grants, and creates a recommended list. The recommended list is sent to the terminal in JSON format, and the terminal displays it on the user interface.

[1642] Generate application documents

[1643] When the user selects the desired subsidy or grant from the recommended list, the terminal sends the selected information to the server. The server retrieves past application document data corresponding to the selected subsidy or grant from the database. Based on the retrieved data, the application document is automatically generated using a generation AI module. The server sends the generated application document to the terminal in JSON format. The terminal displays the application document on the user interface.

[1644] Final manual check and format conversion

[1645] The user checks the displayed application documents and makes any necessary corrections or additions. The terminal reflects the user's corrections in real time and sends the new data to the server. The server saves the final corrected data in a database. When the user requests to download the completed application documents, the server converts the application documents into the specified format (e.g., PDF) and sends a download link to the terminal. The terminal displays this link on the user interface, allowing the user to download the application documents.

[1646] Specific examples

[1647] Usage example:

[1648] A food delivery company logs into the system and enters information such as their company's homepage URL, last year's financial statements, industry, location, and number of employees. For example, they enter the homepage URL "https: / / exampledelivery.com," last year's financial statements, industry "food service," location "Tokyo," and number of employees "20." The server saves this information and suggests "Regional Development Subsidy" and "Food Service Industry Support Subsidy" as appropriate subsidies and grants. The user selects "Regional Development Subsidy," and the generation AI creates an application document based on past application documents. Below is an example of a prompt for the generation AI:

[1649] Prompt statement:

[1650] "Please generate a subsidy application form based on the following information: Company information: {Industry: 'Food & Beverage', Location: 'Tokyo', Sales: '10 million yen', Number of employees: '20'}. Please automatically generate the necessary documents based on past application data."

[1651] The system will enable food delivery companies to effortlessly find suitable subsidies and grants, and efficiently prepare and submit application documents.

[1652] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1653] Step 1:

[1654] Process name: Enter company information

[1655] Acting on: User

[1656] Specific operation: The user logs in to the system and enters basic information about their company (website URL, financial statements, industry, location, number of employees, etc.) into the terminal.

[1657] Input: Company information such as website URL, financial statements, industry, location, number of employees, etc.

[1658] Output: Company information data converted to JSON format

[1659] Data processing: Convert input data into JSON format

[1660] Step 2:

[1661] Process name: Save company information

[1662] Actors: Terminals and servers

[1663] Specific operation: The terminal sends the company information converted into JSON format to the server, and the server stores the data in a database.

[1664] Input: Company information data in JSON format

[1665] Output: Company information stored in a database

[1666] Data processing: Save the received JSON data to the database

[1667] Step 3:

[1668] Process name: Subsidy / Grant proposal

[1669] Acting entity: Server

[1670] Specific operation: When a user presses the "Search for grants and subsidies" button, the server retrieves company information from the database and runs an algorithm to search for appropriate grants and subsidies.

[1671] Input: Company information stored in the database

[1672] Output: A list of recommendations in JSON format

[1673] Data processing: Searching and scoring subsidies and grants using filtering algorithms

[1674] Step 4:

[1675] Action Name: View Recommendation List

[1676] Acting on: Device

[1677] Specific operation: The device receives a recommendation list in JSON format sent from the server and displays it in the user interface.

[1678] Input: A list of recommendations in JSON format

[1679] Output: Recommendation list displayed in the user interface

[1680] Data processing: Parsing JSON data and reflecting it in the UI

[1681] Step 5:

[1682] Process name: Generate application documents

[1683] Actors: Server and generative AI module

[1684] Specific operation: The server receives information that the user has selected the desired subsidy or grant from the recommended list, retrieves past application document data from the database, and automatically generates application documents using the generation AI module.

[1685] Input: Selected grant and subsidy information, past application document data

[1686] Output: Generated application document in JSON format

[1687] Data processing: Automatic generation of application documents using a generative AI module

[1688] Step 6:

[1689] Process name: Display and confirm generated application documents

[1690] Actors: Devices and users

[1691] Specific operation: The terminal receives the application document data sent from the server and displays it on the user interface. The user checks the application document and makes corrections as necessary.

[1692] Input: Generated application documents in JSON format

[1693] Output: Application documents displayed in the user interface

[1694] Data processing: Parsing JSON data and reflecting it in the UI

[1695] Step 7:

[1696] Process name: Save final modified data

[1697] Actors: Terminals and servers

[1698] Specific operation: The device reflects the user's modifications in real time and sends them to the server, which then stores the final modified data in a database.

[1699] Input: User-modified data

[1700] Output: Final corrections stored in the database

[1701] Data processing: Real-time reflection and database storage

[1702] Step 8:

[1703] Processing name: Format conversion of application documents and provision of downloads

[1704] Actors: Servers and terminals

[1705] Specific operation: When a user requests to download a completed application, the server converts the application into the specified format (e.g., PDF) and generates a download link. The device displays this link in the user interface.

[1706] Input: Final corrected data

[1707] Output: Download link

[1708] Data processing: format conversion and link generation

[1709] 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.

[1710] This invention is a system that enables small and medium-sized enterprises to efficiently utilize subsidies and grants from national and local governments. The system starts by acquiring company information, then creates application documents using generative AI, and combines it with an emotion engine that recognizes the user's emotions and provides support.

[1711] System configuration

[1712] The system consists of the following main components:

[1713] server

[1714] Terminal

[1715] Database

[1716] Generative AI Module

[1717] Emotion Engine

[1718] Program processing explanation

[1719] Company information registration

[1720] First, the user logs in to the system. The user enters basic company information, such as the website URL, financial statements, industry, location, and number of employees. The terminal receives this input data, converts it into JSON format, and sends it to the server. The server stores the received JSON data in a database.

[1721] Recommended grant and subsidy proposals

[1722] When a user presses the "Search for Subsidies and Grants" button, the server retrieves registered company information from the database. Based on the retrieved information, the server runs an algorithm to search for appropriate subsidies and grants. This algorithm takes into account filtering criteria such as industry, location, and company size, as well as the user's emotional state, and scores the applicable subsidies and grants to create a recommended list. The recommended list is sent to the terminal in JSON format, and the terminal displays it on the user interface.

[1723] Generate application documents

[1724] When the user selects the desired subsidy or grant from the recommended list, the terminal sends the selected information to the server. The server retrieves past application document data corresponding to the selected subsidy or grant from the database. Based on the retrieved data, the application document is automatically generated using a generation AI module. The server sends the generated application document to the terminal in JSON format. The terminal displays the application document on the user interface.

[1725] Final manual check and format conversion

[1726] The user checks the displayed application documents and makes any necessary corrections or additions. During this time, the emotion engine recognizes emotions from the user's facial expressions and voice and monitors their stress level. The device reflects the user's corrections in real time and sends the new data to the server. The server stores the final corrected data in a database. If the user receives a stress alert from the emotion engine, assistance and guidance are provided.

[1727] When a user requests to download the completed application, the server converts the application into the specified format (e.g., PDF), generates a download link, and sends it to the terminal, which displays the link on the user interface and allows the user to download the application.

[1728] Specific examples

[1729] As a concrete example, consider the case where a user enters their company's homepage URL "https: / / examplecompany.com," last year's financial statements, industry "manufacturing," location "Tokyo," and number of employees "50" into the system. The server saves this information and suggests appropriate subsidies and grants, such as the "Small and Medium-sized Enterprise Growth Support Subsidy" and the "Digital Transformation Promotion Subsidy." The user selects the "Small and Medium-sized Enterprise Growth Support Subsidy," and the generation AI creates business plans and financial plans based on past application documents. The user then reviews and modifies these documents, and finally downloads and submits them in PDF format.

[1730] Furthermore, an emotion engine detects the user's stress during this process and provides alerts and assistance as needed, enabling efficient application procedures while reducing the user's mental burden. This system allows small and medium-sized enterprises to easily find suitable grants and subsidies, and efficiently prepare and submit application documents with minimal stress.

[1731] The processing flow will be explained below.

[1732] Step 1:

[1733] Users log in to the system and enter company information such as their homepage URL, financial statements, industry, location, and number of employees.

[1734] Step 2:

[1735] The terminal receives the entered company information and converts it into JSON format.

[1736] Step 3:

[1737] The terminal sends the converted JSON data to the server.

[1738] Step 4:

[1739] The server stores the received JSON data in a database.

[1740] Step 5:

[1741] The user presses the "Search for grants and subsidies" button.

[1742] Step 6:

[1743] The emotion engine recognizes emotions in real time from the user's voice input and facial expressions and sends that data to the device.

[1744] Step 7:

[1745] The server retrieves registered company information from the database.

[1746] Step 8:

[1747] The server runs an algorithm to search for suitable grants and subsidies based on registered company information.

[1748] Step 9:

[1749] The server scores grants and subsidies based on filtering criteria such as industry, location, company size, and even the user's emotional state, and creates a recommended list.

[1750] Step 10:

[1751] The server converts the recommendation list into JSON format and sends it to the device.

[1752] Step 11:

[1753] The terminal displays the sent recommendation list on the user interface.

[1754] Step 12:

[1755] The user selects the desired grant or subsidy from a list of recommendations.

[1756] Step 13:

[1757] The terminal transmits information about the selected subsidy or grant to the server.

[1758] Step 14:

[1759] The server retrieves from a database past application data corresponding to the selected grant or subsidy.

[1760] Step 15:

[1761] The server calls the generation AI module based on the acquired application document data and starts the automatic generation process.

[1762] Step 16:

[1763] The generation AI module analyzes past application document data and generates new application documents based on specified templates.

[1764] Step 17:

[1765] The generation AI module exports the generated application documents in JSON format and sends them to the server.

[1766] Step 18:

[1767] The server transmits the generated application documents to the terminal.

[1768] Step 19:

[1769] The terminal displays the application documents on a user interface, and the emotion engine monitors the user's stress level and provides appropriate alerts and assistance as needed.

[1770] Step 20:

[1771] The user checks the generated application documents and makes any necessary corrections or additions.

[1772] Step 20:

[1773] The terminal reflects the user's input in real time and transmits the updated application document data to the server.

[1774] Step 21:

[1775] The server stores the corrected application document data in a database.

[1776] Step 22:

[1777] The user presses a button to download the completed application.

[1778] Step 23:

[1779] The terminal sends a download request to the server.

[1780] Step 24:

[1781] The server converts the completed application documents into a specified format, such as PDF, and generates a download link.

[1782] Step 25:

[1783] The server sends the generated download link to the terminal.

[1784] Step 26:

[1785] The terminal displays a download link to the user, allowing the user to download the application documents.

[1786] Example 2

[1787] 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."

[1788] In order for small and medium-sized enterprises to efficiently utilize subsidies and grants from national and local governments, they need to organize and analyze large amounts of information, find appropriate subsidies and grants, and prepare application documents. However, these tasks are typically time-consuming and place a significant burden on users, especially those without specialized knowledge. Furthermore, stress and mistakes caused by changes in users' emotional state when searching for subsidies and grants and preparing application documents are also issues that need to be addressed. An efficient system that solves these problems is needed.

[1789] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1790] In this invention, the server includes: means for a user to log in to the system and input company information; means for the terminal to convert the input company information into JSON format and send it to the server; means for the server to save the sent company information in a database; means for the user to search for subsidies and grants by pressing a button; means for the server to retrieve company information from the database, search for subsidies and grants taking into account filtering conditions and the user's emotional state, score them, and create a recommendation list; means for sending the recommendation list in JSON format to the terminal and displaying it on a user interface; means for the user to select a desired subsidy or grant and the terminal to send that information to the server; means for the server to retrieve past application document data from the database and automatically generate application documents using a generation AI module; means for sending the generated application documents in JSON format to the terminal and displaying them on the user interface; means for the user to check and correct the application documents; means for an emotion engine to monitor the user's emotional state and provide assistance and guidance; means for the user to request downloading of the completed application documents, the server to convert the application documents into a specified format, generate a download link, and send it to the terminal; and means for the terminal to display the download link on the user interface. This allows small and medium-sized businesses to effortlessly find the right grants and subsidies, and efficiently prepare and submit application documents with minimal stress.

[1791] "User" refers to a company or its personnel who uses the system to search for subsidies and grants and prepare application documents.

[1792] A "terminal" is hardware such as a computer or mobile device that is operated by a user to input and display information.

[1793] A "server" is a computer system on a network that receives, stores, and processes data sent by users and sends the necessary information to terminals.

[1794] A "database" is a data storage system that is accessed by a server and used to store and manage company information and past application document data.

[1795] The "generative AI module" is a software module that uses artificial intelligence to automatically generate new application documents based on past application document data.

[1796] The "emotion engine" is a program that recognizes the user's emotional state, monitors stress levels, and provides assistance.

[1797] The "JSON format" is a lightweight data interchange format for storing and transmitting structured data.

[1798] "Subsidies and grants" are financial assistance provided by national and local governments to support business activities.

[1799] "Filtering conditions" are criteria for obtaining appropriate results when searching for subsidies and grants based on company information, industry, location, company size, etc.

[1800] A "prompt sentence" is a sentence-form instruction input to the generation AI module.

[1801] A "user interface" is a screen display and operating environment that allows a user to interact with a system.

[1802] A "download link" is a link on the Internet that allows a user to download application documents in a specified format.

[1803] This invention is a system that enables small and medium-sized enterprises to efficiently utilize subsidies and grants from national and local governments. The system starts by acquiring company information, then creates application documents using generative AI, and combines it with an emotion engine that recognizes the user's emotions and provides support.

[1804] System configuration

[1805] The system consists of the following main components:

[1806] server

[1807] Terminal

[1808] Database

[1809] Generative AI Module

[1810] Emotion Engine

[1811] Specific implementation methods

[1812] First, the user logs in to the system and enters basic information about their company (website URL, financial statements, industry, location, number of employees, etc.). The terminal converts this input data into JSON format and sends it to the server. The server then stores the received JSON data in a database.

[1813] When a user presses the "Search for Subsidies and Grants" button, the server retrieves registered company information from the database and runs an algorithm to search for appropriate subsidies and grants. This algorithm takes into account filtering criteria such as industry, location, and company size, as well as the user's emotional state analyzed by the emotion engine. It scores the applicable subsidies and grants and creates a recommendation list. The recommendation list is sent to the terminal in JSON format, and the terminal displays it on the user interface.

[1814] When the user selects the desired subsidy or grant from the recommended list, the device sends the selected information to the server. The server retrieves past application document data from the database and automatically generates application documents using the generation AI module. The generated application documents are sent to the device in JSON format, and the device displays them on the user interface.

[1815] The user checks the displayed application documents and makes any necessary corrections or additions. During this time, the emotion engine recognizes emotions from the user's facial expressions and voice and monitors their stress level. The device reflects the user's corrections in real time and sends the new data to the server. The server then saves the final corrected data in a database.

[1816] When a user requests to download the completed application, the server converts the application into the specified format (e.g., PDF), generates a download link, and sends it to the terminal, which displays this link in its user interface so that the user can download the application.

[1817] Specific examples

[1818] As a concrete example, consider the case where a user enters their company's homepage URL "https: / / examplecompany.com," last year's financial statements, industry "manufacturing," location "Tokyo," and number of employees "50" into the system. The server saves this information and suggests appropriate subsidies and grants, such as the "Small and Medium-sized Enterprise Growth Support Subsidy" and the "Digital Transformation Promotion Subsidy." The user selects the "Small and Medium-sized Enterprise Growth Support Subsidy," and the generation AI module creates business plans and financial plans based on past application documents. The user then reviews and modifies these documents, and finally downloads and submits them in PDF format.

[1819] During this process, the emotion engine detects the user's stress and provides alerts and assistance as needed, reducing the user's mental burden and enabling an efficient application process.

[1820] Prompt Sentence Examples

[1821] Enter the following prompt into the generative AI model:

[1822] Please prepare a business plan and financial plan to apply for the Small and Medium Enterprise Growth Support Subsidy. Please provide the following basic information about your company:

[1823] Homepage URL: https: / / examplecompany.com

[1824] Industry: Manufacturing

[1825] Location: Tokyo

[1826] Number of employees: 50

[1827] Last year's financial statements: (Financial statement data details)

[1828] The system allows small and medium-sized businesses to effortlessly find suitable grants and subsidies, and efficiently prepare and submit application documents with minimal stress.

[1829] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1830] Step 1:

[1831] The user enters their ID and password on the system's login screen and presses the "Login" button.

[1832] Input: User ID and password

[1833] Operation: The terminal receives the user's input and sends the data to the server, which then refers to the authentication database and performs the authentication process.

[1834] Output: If authentication is successful, the user is redirected to the company information entry screen. If unsuccessful, an error message is displayed.

[1835] Step 2:

[1836] On the company information input screen, users enter basic information such as the company's homepage URL, financial statements, industry, location, and number of employees into a form.

[1837] Input: Basic company information (website URL, financial statements, industry, location, number of employees, etc.)

[1838] How it works: When the "Submit" button is pressed, the device converts the input data into JSON format, then sends it to the server as an HTTP POST request.

[1839] Output: The server saves the received JSON data to the company information table in the database. If the save is successful, a confirmation message is displayed.

[1840] Step 3:

[1841] The user selects the "Search for Grants and Subsidies" option from the menu and presses the "Search" button that appears on the screen.

[1842] Input: User search request

[1843] How it works: The server queries registered company information from the database to retrieve the required information, then runs a search algorithm to find suitable grants and subsidies, taking into account filtering criteria (industry, location, company size, etc.) and the user's emotional state as analyzed by the emotion engine.

[1844] Output: The server scores the applicable grants and subsidies and generates a recommendation list. The list is converted to JSON format and sent to the terminal. The terminal displays the recommendation list in a user interface.

[1845] Step 4:

[1846] Users click to select the grant or subsidy they want from the recommended list.

[1847] Input: Selected grant or subsidy information

[1848] How it works: The device sends the selected information in JSON format to the server, which queries and retrieves past application data from a database.

[1849] Output: Retrieved past application document data

[1850] Step 5:

[1851] The server generates application documents using a generation AI module.

[1852] Input: Past application data and prompt text

[1853] Operation: The server inputs the acquired data into the generation AI module to generate application documents.

[1854] Output: Generated application documents (JSON format)

[1855] Step 6:

[1856] The server converts the generated application documents into JSON format and sends them to the terminal, which displays the documents on its user interface.

[1857] Input: Generated application documents (JSON format)

[1858] Behavior: The device displays the received data in a user interface that the user can edit.

[1859] Output: Application documents displayed in the user interface

[1860] Step 7:

[1861] The user checks the displayed application documents and makes any necessary corrections or additions.

[1862] Input: Application documents and user corrections / additions

[1863] How it works: The emotion engine analyzes the user's facial expressions and voice in real time and monitors their emotional state (e.g., stress level). The device updates the data in real time and sends it to the server. The server then stores the updated data in a database.

[1864] Output: Corrected application

[1865] Step 8:

[1866] If the user wishes to download the application documents, he or she clicks on the "Download" button.

[1867] Input: Download request

[1868] What it does: The server converts the application documents into the specified format (e.g. PDF) and generates a download link.

[1869] Output: Download link

[1870] Step 9:

[1871] The terminal displays the generated download link on the user interface.

[1872] Input: Download link

[1873] How it works: The device displays a download link in its user interface, allowing the user to download with one click.

[1874] Output: The application document is available for the user to download.

[1875] (Application example 2)

[1876] 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."

[1877] The traditional process for applying for subsidies and grants is extremely complicated and cumbersome for small and medium-sized enterprises. In particular, preparing application documents requires a great deal of time and effort, and the stress of completing the documents often places a mental burden on users. Furthermore, it is difficult to find appropriate subsidies and grants, preventing many small and medium-sized enterprises from benefiting from them. A system is needed to solve these issues, streamline the application process, and reduce the mental burden on users.

[1878] 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.

[1879] In this invention, the server includes means for acquiring company information, means for searching for and proposing subsidies and grants based on the acquired company information, means for using a generation AI to generate application documents for the selected subsidies and grants, means for using an emotion engine to recognize and support the user's emotions, and means for the user to check and correct the generated application documents. This makes it possible to streamline the application process for subsidies and grants and reduce the mental burden on the user.

[1880] "Company information" refers to basic information about a company, including, for example, the website URL, financial statements, industry, location, number of employees, etc.

[1881] "Subsidies and grants" are funds provided by public institutions such as the national and local governments to companies and individuals for specific purposes.

[1882] "Recommendation" refers to the act of the system showing the user the most suitable subsidies and grants based on the search results.

[1883] "Application documents" refers to the set of documents required to apply for subsidies and grants, which may include a business plan, financial plan, etc.

[1884] "Generative AI" refers to a system or algorithm that uses artificial intelligence techniques to automatically generate necessary documents or text based on historical data or specific prompts.

[1885] An "emotion engine" is a software module that analyzes a user's facial expressions and voice data to recognize the user's emotional state and stress level.

[1886] "User" refers to a company representative or individual who uses the system to process grant and subsidy applications.

[1887] A "database" is a system for systematically storing acquired company information, generated application documents, and information on subsidies and grants, and managing it in a manner that allows for search and analysis.

[1888] This invention is a system for streamlining the application process for subsidies and grants, and reducing the mental burden that accompanies it. The system is primarily composed of a server, terminals, a database, a generative AI module, and an emotion engine.

[1889] 1. User information registration

[1890] A user logs in to the system and enters company information (such as the website URL, financial statements, industry, location, number of employees, etc.) into the system's terminal. The terminal converts this input data into JSON format and sends it to the server. The server stores the received JSON data in a database.

[1891] 2. Proposing appropriate subsidies and grants

[1892] When a user presses the "Search for Subsidies and Grants" button, the server retrieves registered company information from the database. Based on this retrieved information, the server considers filtering criteria such as industry, location, and company size, as well as the user's emotional state, searches for applicable subsidies and grants, scores them, and creates a recommendation list. This recommendation list is sent to the terminal in JSON format, and the terminal displays it on the user interface.

[1893] 3. Generate application documents

[1894] When the user selects the desired subsidy or grant from the recommended list, the terminal sends the selected information to the server. The server retrieves past application document data corresponding to the selected subsidy or grant from the database and automatically generates application documents based on the retrieved data using a generation AI module. The generated application documents are sent to the terminal in JSON format, and the terminal displays them on the user interface.

[1895] 4. Final manual check and format conversion

[1896] The user checks the displayed application documents and makes any necessary corrections or additions. During this time, the emotion engine recognizes emotions from the user's facial expressions and voice and monitors their stress level. The device reflects the user's corrections in real time and sends the new data to the server. The server stores the final correction data in a database, and provides assistance and guidance if the user receives a stress alert from the emotion engine. When the user requests to download the completed application documents, the server converts the application documents into the specified format (e.g., PDF), generates a download link, and sends it to the device. The device displays this link on the user interface, allowing the user to download the application documents.

[1897] Hardware and Software Used

[1898] The system is built using the following hardware and software:

[1899] Hardware: smartphone or head-mounted display (e.g. HoloLens), server, cloud database

[1900] Software: User interface (iOS / Android app), backend server (Node.js or Python / Django), generative AI module (OpenAI GPT-4), emotion engine (emotion recognition API such as Affectiva)

[1901] Specific examples

[1902] For example, consider a security company representative applying for a new security contract. The representative logs in to the app and enters their company information. After that, they tap the "Create Application" button, and the app uses generative AI to automatically generate a draft contract application. The app's emotion engine monitors the representative's stress level and provides appropriate guidance if high stress levels are detected.

[1903] Example prompt for a generative AI model:

[1904] Please complete a security contract application based on the following information:

[1905] Company Name: [Company Name]

[1906] Location: [Location]

[1907] Contractor: [Contractor Name]

[1908] Contract period: [Contract period]

[1909] Services provided: [Service details]

[1910] Please refer to the following format:

[1911] [Opening of application form]

[1912] [Contract details]

[1913] [General Information]

[1914] [Signature / Seal]

[1915] This system streamlines the process of applying for grants and subsidies, reducing the mental burden on users.

[1916] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1917] Step 1:

[1918] The user logs in to the system and enters company information, such as the website URL, financial statements, industry, location, and number of employees. The terminal converts this input data into JSON format and sends it to the server. The server then stores the received JSON data in a database.

[1919] Input: Company information such as website URL, financial statements, industry, location, number of employees, etc.

[1920] Output: Company information in JSON format.

[1921] Step 2:

[1922] When a user presses the "Search for Subsidies and Grants" button, the server retrieves registered company information from the database. Based on the retrieved information, the server searches for relevant subsidies and grants, taking into account filtering conditions such as industry, location, and company size, as well as the user's emotional state.

[1923] Input: Company information stored in the database.

[1924] Output: A list of grants and subsidies based on your filtering criteria.

[1925] Step 3:

[1926] The server scores the subsidies and grants obtained based on the filtering criteria and creates a recommendation list, which is sent to the terminal in JSON format and displayed on the terminal's user interface.

[1927] Input: A list of grants and subsidies based on filtering criteria.

[1928] Output: A list of recommendations in JSON format.

[1929] Step 4:

[1930] When the user selects the desired subsidy or grant from the recommended list, the terminal transmits the selected information to the server, which retrieves the past application document data corresponding to the selected subsidy or grant from the database.

[1931] Input: The grant or subsidy selected by the user.

[1932] Output: Past application data.

[1933] Step 5:

[1934] The server automatically generates application documents using a generation AI module based on the acquired data. The generated application documents are sent in JSON format to the terminal, which then displays them on the user interface.

[1935] Input: Historical application data, generative AI model.

[1936] Output: Auto-generated application documents.

[1937] Step 6:

[1938] The user checks the displayed application documents and makes any necessary corrections or additions, while the emotion engine analyzes the user's facial expressions and voice to recognize emotions and monitor stress levels.

[1939] Input: Auto-generated application form, user facial and voice data.

[1940] Output: Corrected application form, emotional state data.

[1941] Step 7:

[1942] The device reflects the user's corrections in real time and sends the new data to the server, which stores the final corrections in a database. If the user receives a stress alert, assistance and guidance are displayed.

[1943] Input: User-modified data.

[1944] Output: Updated application data, assistance and guidance.

[1945] Step 8:

[1946] When a user requests to download the completed application, the server converts the application into the specified format (e.g., PDF), generates a download link, and sends it to the terminal, which displays this link on its user interface so that the user can download the application.

[1947] Input: Completed application documents.

[1948] Output: Application documents in PDF format and download link.

[1949] 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.

[1950] 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.

[1951] 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 robot 414.

[1952] 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.

[1953] 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.

[1954] 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.

[1955] 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).

[1956] 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.

[1957] 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."

[1958] 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.

[1959] 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).

[1960] 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.

[1961] 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.

[1962] 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.

[1963] 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.

[1964] 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.

[1965] 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.

[1966] 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.

[1967] 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.

[1968] 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.

[1969] 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.

[1970] The following is further disclosed regarding the above embodiment.

[1971] (Claim 1)

[1972] A means of obtaining company information;

[1973] a means for searching and proposing grants and subsidies based on the obtained company information;

[1974] means for using the generation AI to generate applications for the selected grants and subsidies;

[1975] A means for the user to check and correct the generated application documents;

[1976] A system including:

[1977] (Claim 2)

[1978] 10. The system of claim 1, ...

Claims

1. A means of obtaining company information; a means for searching and proposing grants and subsidies based on the obtained company information; means for using the generation AI to generate applications for the selected grants and subsidies; A means for the user to check and correct the generated application documents; A system including:

2. 10. The system of claim 1, further comprising means for storing the obtained company information in a database and analyzing the stored information.

3. 10. The system of claim 1, further comprising means for converting selected grant and subsidy applications into a specified format, such as PDF.

Images