System

Abstract

A system is provided.SOLUTION: This system is provided with a means for receiving input information from a user, a means for retrieving the database of a public support system based on the input information, and for specifying an applicable subsidy, a means for providing the information of the specified subsidy to the user, and a means for guiding the application procedure of the subsidy.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] Currently, there are a wide variety of public support programs, but information about them is scattered, and application conditions and procedures are complicated, making it difficult for individuals and small and medium-sized enterprises to find the appropriate subsidy. Furthermore, the complicated application procedures mean that many subsidies remain unused. This situation unnecessarily increases the economic burden and hinders effective use of support programs, creating a problem. [Means for solving the problem]

[0005] To solve this problem, the present invention provides the following means: a system including a means for receiving input information from a user, a means for searching a database of public support programs based on the input information and identifying applicable subsidies, a means for providing information on the identified subsidies to the user, and a means for guiding the application process for the subsidies. This system enables users to quickly and easily find the subsidy that best suits their situation and efficiently complete the application process. In particular, the use of an artificial intelligence module improves the accuracy of subsidy identification and search speed, enabling accurate suggestions of applicable subsidies.

[0006] A "user" is an individual or corporation that uses the system to search for information on subsidies and grants and to apply for them.

[0007] "Input information" refers to basic information and detailed information about the current situation that a user provides to the system.

[0008] "Public support systems" refers to various support programs, including subsidies and grants, provided by the national or local government.

[0009] A "database" is a collection of data that accumulates information on public assistance systems, and refers to information stored in a searchable format.

[0010] "Applicable Subsidies" refers to subsidies and grants that match the User's circumstances and are available to the User.

[0011] "Means of identification" refers to the technical method or process for identifying applicable grants from the database based on input information.

[0012] "Means for providing" refers to an interface or method for presenting information about identified subsidies to a user.

[0013] "Means for guiding users through the application process" refers to the technical methods and procedures that provide users with the steps and information they need to smoothly apply for a grant.

[0014] "Artificial Intelligence Module" refers to software or algorithms that use machine learning and data analysis techniques to identify and recommend grants. [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] Overall system configuration and functions

[0037] This invention provides a system in which AI determines the eligibility of individuals and businesses for subsidies and grants, and provides advice on application conditions and procedures. The system is primarily composed of a server, terminals, and users.

[0038] 1. User Roles

[0039] Users are the primary users of this system and provide information to apply for subsidies and grants. Users enter their basic information and current situation into a terminal and submit it. This information is used by the system to identify eligible subsidies.

[0040] 2. Role of the terminal

[0041] The terminal provides an interface for users to input information. Furthermore, the terminal receives information from the server and displays a list of subsidies available to the user and instructions on how to apply. This allows the user to smoothly apply for the subsidies.

[0042] 3. Server Roles

[0043] The server is the central part of the system, receiving information from the user and providing data to the AI ​​module. The server processes responses from the AI ​​module and formats the information to be provided to the user. The server also manages access to the database and supports the search process of the AI ​​module.

[0044] 4. Role of AI Module

[0045] The AI ​​module searches a database of public assistance programs based on user input and identifies applicable subsidies. The AI ​​module uses machine learning and data analysis techniques to identify the most suitable subsidies and help simplify the application process.

[0046] Program processing flow

[0047] 1. Enter your user information:

[0048] The user accesses the terminal and enters basic information such as name, address, and contact details, as well as their current situation (e.g., a newborn child, their business has been affected, etc.).

[0049] 2. Transmission of Information:

[0050] When the user clicks the "Submit" button, the entered information is sent to the server.

[0051] 3. Receipt and processing of information by the server:

[0052] The server receives the information received from the user, converts it into an appropriate format, and then passes it on to the AI ​​module.

[0053] 4. Database search by AI module:

[0054] The AI ​​module searches a database of public assistance programs to identify the subsidy that best suits the user's situation.

[0055] 5. Returning and formatting search results:

[0056] The AI ​​module sends the identified subsidy information back to the server, which formats it for presentation to the user.

[0057] 6. Provision of Information:

[0058] The formatted subsidy information is sent to the terminal and displayed on the user's screen. The user then proceeds with the application process based on the provided information.

[0059] Specific examples

[0060] Example 1: When a child is born

[0061] 1. The user types "My first child was born" into the terminal.

[0062] 2. The server receives the user information and passes it to the AI ​​module.

[0063] 3. The AI ​​module identifies "child birth subsidies" from the database.

[0064] 4. The server sends the formatted subsidy information to the terminal.

[0065] 5. The terminal displays the information to the user and guides them through the application process.

[0066] 6. The user prepares the necessary documents and follows the instructions to complete the application process.

[0067] Example 2: If your business is affected by a natural disaster

[0068] 1. The user types "My business was damaged by an earthquake" into the terminal.

[0069] 2. The server passes the information to the AI ​​module.

[0070] 3. The AI ​​module identifies "subsidies for business recovery due to natural disasters."

[0071] 4. The server sends the formatted information to the terminal.

[0072] 5. The terminal displays the information to the user and guides them through the application process.

[0073] 6. The user prepares the necessary documents and completes the application process.

[0074] This system allows users to easily obtain information on subsidies and grants and to easily apply for them. In particular, the use of an AI module enables highly accurate information to be provided, greatly improving user convenience.

[0075] The processing flow will be explained below.

[0076] Step 1:

[0077] The user accesses the terminal and inputs their name, address, contact information, and current situation (for example, "My first child was born" or "My business was damaged in the earthquake").

[0078] Step 2:

[0079] The user confirms the input information and clicks the "Send" button, which sends the information from the terminal to the server.

[0080] Step 3:

[0081] The server receives the user's input information sent from the terminal and analyzes the information.

[0082] Step 4:

[0083] The server converts the received user information into an appropriate format and formats it for provision to the AI ​​module.

[0084] Step 5:

[0085] The server passes the formatted user information to the AI ​​module, which starts the data analysis and search process.

[0086] Step 6:

[0087] The AI ​​module accesses a database of public assistance programs and performs a search to identify the subsidy that best suits the user's situation.

[0088] Step 7:

[0089] The AI ​​module generates a list of the most suitable grants and subsidies from the search results and extracts detailed information about the identified grants (e.g., eligibility requirements, application procedures, required documents).

[0090] Step 8:

[0091] The AI ​​module sends the generated subsidy information back to the server, which receives the information.

[0092] Step 9:

[0093] The server formats the received subsidy information into an easy-to-understand format for presentation to the user.

[0094] Step 10:

[0095] The server transmits the formatted subsidy information to the terminal, making it accessible to the user.

[0096] Step 11:

[0097] The terminal displays the subsidy information received from the server to the user. The displayed content includes a list of the most suitable subsidies, an overview of each subsidy, application conditions, application procedures, required documents, etc.

[0098] Step 12:

[0099] The user checks the subsidy information provided on the terminal and selects the desired subsidy.

[0100] Step 13:

[0101] The user clicks the "Start Application" button to proceed with the application process for the selected grant.

[0102] Step 14:

[0103] The device will then guide the user step-by-step through the detailed application process for the selected grant, providing the user with a list of required documents, how to submit them, and a link to download the application form.

[0104] Step 15:

[0105] The user follows the instructions on the terminal to prepare the necessary documents and fill out the application form. The user then submits the documents online or offline to complete the application process.

[0106] Step 16:

[0107] The server tracks the progress of the user's application and notifies the user via the terminal of the grant results and additional information as needed.

[0108] By implementing the system in accordance with these steps, users can quickly and efficiently obtain information on grants and subsidies and complete the application process.

[0109] Example 1

[0110] 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."

[0111] The traditional application process for subsidies and grants is time-consuming and laborious, as users must search for applicable subsidies and go through complex procedures themselves. There's also the risk of overlooking applicable subsidies, which creates issues with user convenience and the success rate of applications. In response, there's a need for a system that allows users to easily and quickly identify applicable subsidies and smoothly advance the application process.

[0112] 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.

[0113] In this invention, the server includes means for receiving input information from a user, means for searching a database of public support programs based on the input information and identifying applicable subsidies, means for formatting information on the identified subsidies to provide to the user, and means for guiding the application procedures for the subsidies, thereby enabling the user to efficiently find applicable subsidies and smoothly proceed with the application procedures.

[0114] "User" means an individual or business that utilizes the system to input information and identify and apply for eligible grants.

[0115] "Input Information" means the name, address, contact details, and specific situation information that a user provides to the system.

[0116] "Server" means a central processing unit that receives input information from a user, processes it to identify applicable subsidies, and provides formatted information to the user.

[0117] "Subsidy information" refers to information regarding financial support and grants related to public support systems.

[0118] "Application Procedure" refers to the process for preparing and submitting documents necessary for a User to receive applicable subsidies.

[0119] The "artificial intelligence module" is a software component that uses machine learning algorithms and data analysis techniques to search a database of public assistance programs based on user input and identify applicable subsidies.

[0120] A "terminal" is a device (e.g., a PC or smartphone) through which a user inputs information and receives and displays subsidy information and application procedure details from the server.

[0121] A "database" is a collection of information that stores detailed information on public support programs related to subsidies and grants.

[0122] This invention provides a system that enables individuals and businesses to smoothly apply for subsidies and grants. The system is mainly composed of a server, terminals, and users.

[0123] 1. User Roles

[0124] Users are the primary users of the system and provide information to apply for subsidies and grants. Users enter their basic information (name, address, contact information) and specific circumstances (e.g., the birth of a child, a business damaged by a disaster, etc.) into a terminal. Based on the information provided, users check the applicability of subsidies and proceed with the application process.

[0125] 2. Role of the terminal

[0126] The terminal provides an interface for users to input information. The terminal also receives information from the server and displays a list of applicable subsidies and instructions on how to apply for them. The terminal can be a PC or a smartphone. The terminal uses a web browser to display a form for users to enter information, and when the user clicks the submit button, the entered information is sent to the server.

[0127] 3. Server Roles

[0128] The server is the central part of the system, receiving input information from the user, converting it into an appropriate format, and then passing it on to the artificial intelligence module. Servers are generally built using cloud infrastructure such as AWS (Amazon Web Services). The server efficiently processes data using a distributed streaming platform such as Apache Kafka. The server receives responses from the AI ​​module and formats the information to be provided to the user. The server also manages access to the database and supports the search process of the AI ​​module.

[0129] 4. Role of AI Module

[0130] The AI ​​module searches a database of public assistance programs based on the user's input information and identifies applicable subsidies. The AI ​​module is built using machine learning frameworks such as TensorFlow and PyTorch. It also uses natural language processing (NLP) technology to analyze the user's input information. The AI ​​module searches the database (SQL or NoSQL) for the most suitable subsidies and returns the search results to the server.

[0131] Specific examples

[0132] Example 1: When a child is born

[0133] 1. The user types "My first child was born" into the terminal and clicks the send button.

[0134] 2. The server receives this information, converts it into JSON format, and sends it to the AI ​​module.

[0135] 3. The AI ​​module searches the database for "child birth subsidies" and returns the results to the server.

[0136] 4. The server sends the formatted subsidy information to the terminal.

[0137] 5. The device displays information to the user and provides details on the application procedure for the "Childbirth Subsidy." The user then proceeds with the application process based on the displayed information.

[0138] Example prompt sentence:

[0139] "My first child has been born. Please tell me what kind of subsidies I can apply for."

[0140] Example 2: When a business is affected by a natural disaster

[0141] 1. The user types "Our business was damaged by the earthquake" into the terminal and clicks the send button.

[0142] 2. The server receives this information, converts it into JSON format, and sends it to the AI ​​module.

[0143] 3. The AI ​​module searches the database for "subsidies for business recovery due to natural disasters" and returns the results to the server.

[0144] 4. The server sends the formatted subsidy information to the terminal.

[0145] 5. The device displays information to the user and provides details on the application procedure for the "Subsidy for Business Recovery Due to Natural Disasters." The user proceeds with the application procedure based on the displayed information.

[0146] Example prompt sentence:

[0147] "My business was damaged in the earthquake. Please tell me what subsidies are available."

[0148] This system allows users to easily obtain information on subsidies and grants and to easily apply for them. In particular, the use of an AI module enables highly accurate information provision, greatly improving user convenience.

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

[0150] Step 1:

[0151] The user accesses the terminal and inputs their name, address, contact details, and specific circumstances (e.g., "My first child was born"). The user enters the input data (name, address, contact details, specific circumstances) into the form and clicks the submit button. All input data is collected and temporarily stored in the terminal.

[0152] Step 2:

[0153] The terminal collects user input information and creates an HTTP POST request. It converts the collected input data into JSON format and sends it to a specific endpoint on the server. Specifically, it sends the data to the URL https: / / example.com / api / submit. The terminal converts the input data into JSON format, creates an HTTP POST request, and sends it to the server.

[0154] Step 3:

[0155] The server receives HTTP requests sent from the device. It parses the received data into JSON format to convert it into the appropriate format. It then stores this data in a database and prepares it for passing to the AI ​​module. Specifically, the server processes the request data using a framework such as Node.js or Python. It receives input data (in JSON format), stores it in a database, and formats it for the AI ​​module.

[0156] Step 4:

[0157] The AI ​​module begins analysis based on the data received from the server. It analyzes the received JSON data and identifies subsidies related to the user's input information. Specifically, the AI ​​module is built using TensorFlow and PyTorch, and uses natural language processing (NLP) techniques to search the database for the most suitable subsidies based on the input information. It analyzes the received data, performs a database search, and identifies the most suitable subsidy information.

[0158] Step 5:

[0159] The AI ​​module generates search results and sends them back to the server. The generated results are sent to the server in JSON format. The server receives the received search results and formats them to be presented to the user. Specifically, it converts the search result data into a user-friendly format (such as HTML) using a template engine (e.g., Handlebars.js or EJS). It receives the search result data and converts and formats it into a user-friendly format.

[0160] Step 6:

[0161] The server sends the formatted subsidy information to the terminal. The formatted data is returned to the terminal as an HTTP response. The terminal dynamically updates the user screen based on the received data, displaying the subsidy information and details of the application procedure. Specifically, the terminal's browser uses HTML and JavaScript to update the screen display and provide information to the user. The formatted subsidy information is displayed on the user screen, and details of the application procedure are provided.

[0162] Step 7:

[0163] The user checks the subsidy information and application procedure details displayed on the terminal and proceeds with the application procedure by following the instructions.Specific actions include preparing the necessary documents and submitting the application according to the specified procedures.The subsidy application procedure is carried out based on the information provided.

[0164] (Application example 1)

[0165] 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."

[0166] In recent years, advances in automation technology in factories have created a need for efficient acquisition of subsidies and grants as a means of fundraising. However, identifying applicable subsidies from the vast amount of subsidy information and applying for them is a time-consuming and laborious task. Furthermore, there is a lack of technology to identify applicable subsidies in real time using factory operation status and production data. As a result, particularly in small and medium-sized factories, subsidy application procedures are often not carried out properly, resulting in missed opportunities for potential support. The purpose of this invention is to provide a system that automates the collection of subsidy information and applicability determination in factories, thereby facilitating the application process.

[0167] 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.

[0168] In this invention, the server includes a means for receiving input information from a user, a means for searching a database of public support programs based on the input information to identify applicable subsidies, and a means for providing information on the identified subsidies to the user. This allows users to efficiently obtain subsidy information and simplify application procedures. The server also includes a means for collecting data from factory equipment, analyzing the data, and identifying applicable subsidies, and a means for providing the collected subsidy information to the factory manager to proceed with the application process. This enables subsidy application procedures that reflect the current factory situation in real time, significantly reducing the effort and time required for subsidy applications.

[0169] "User information" refers to basic information about individuals and businesses and detailed information about their current situation that is entered into the system.

[0170] The "Public Support System Database" is a database that stores information on subsidies and grants provided by the government and local governments.

[0171] The "AI module" is a software module that uses machine learning and data analysis technology to identify the most appropriate subsidy based on input information and help simplify the application process.

[0172] "Data from factory equipment" refers to data such as production levels, machine operation status, and accident reports obtained from sensors and equipment within the factory.

[0173] "Factory manager" refers to the person or position in charge of operating and managing a factory, and is the primary recipient of subsidy information and application procedures.

[0174] "Applicable subsidy information" is detailed information on applicable subsidies and grants that are identified based on user information and data from factory equipment.

[0175] "Application process" means the series of processes, including the submission of documents and procedures, required to obtain an identified subsidy or grant.

[0176] "Real-time" refers to a form of processing and evaluation that immediately reflects the current situation.

[0177] Overall system configuration and functions

[0178] The system consists of a user, a terminal, a server, and an AI module. The system identifies applicable subsidies based on the information provided by the user and supports the application process.

[0179] 1. User Roles

[0180] Users are the main users of the system and provide information to apply for subsidies and grants. Users enter their basic information and current situation into their terminal and submit it. This information is sent to the server and becomes the basis for analysis by the AI ​​module.

[0181] 2. Role of the terminal

[0182] The terminal provides an interface for users to input information. Furthermore, the terminal receives information from the server and displays a list of subsidies available to the user and instructions on how to apply. This allows the user to smoothly proceed with the subsidy application process.

[0183] 3. Server Roles

[0184] The server is the central part of the system, receiving information from the user, converting it into an appropriate format, and providing it to the AI ​​module. The server processes the responses from the AI ​​module and formats the information to provide to the user. The server also manages access to the database and supports the AI ​​module's search process.

[0185] 4. Role of AI Module

[0186] The AI ​​module uses machine learning and data analysis techniques to search a database of public assistance programs based on user input and identify the most suitable subsidies, making it possible to identify subsidies that are tailored to the user's circumstances.

[0187] 5. Collecting data from factory equipment

[0188] Factory equipment collects data from sensors and other devices, which is sent to a server where an AI module analyzes it to determine subsidy eligibility.

[0189] Program processing flow

[0190] 1. Enter your user information:

[0191] The user accesses the terminal and enters basic information such as name, address, contact details, and current status (e.g., production level, machine operation status, etc.).

[0192] 2. Transmission of Information:

[0193] When the user clicks the "Submit" button, the entered information is sent to the server.

[0194] 3. Receipt and processing of information by the server:

[0195] The server receives information from users, converts it into an appropriate format, and then passes it to the AI ​​module. It also collects data from factory equipment and passes it to the AI ​​module.

[0196] 4. Database search by AI module:

[0197] The AI ​​module searches a database of public assistance programs to identify the subsidy that best suits the user's situation.

[0198] 5. Returning and formatting search results:

[0199] The AI ​​module sends the identified subsidy information back to the server, which formats it for presentation to the user.

[0200] 6. Information and application procedures:

[0201] The formatted subsidy information is sent to the terminal and displayed on the user's screen. The user then proceeds with the application process based on the provided information.

[0202] Specific examples

[0203] Example 1: Application of subsidies for energy efficiency improvements

[0204] 1. Sensors in the factory collect energy consumption data.

[0205] 2. The robot sends the collected data to the server.

[0206] 3. The server passes the data to the AI ​​module, which identifies "subsidies for improving energy efficiency."

[0207] 4. The server sends the formatted information to the terminal and displays it to the user (factory manager).

[0208] 5. The user proceeds.

[0209] Example 2: Application of subsidies for strengthening safety measures

[0210] 1. Sensors collect safety-related data such as "abnormal high temperature."

[0211] 2. The data is sent to the server, and the AI ​​module identifies "subsidies for strengthening safety measures."

[0212] 3. The server sends the information to the terminal and displays it to the user (factory manager).

[0213] 4. The user proceeds with the application process.

[0214] Example prompts for generative AI models

[0215] Write code for an application that collects energy consumption data from a factory and identifies subsidies for improving energy efficiency. A factory robot sends this data to a server, which receives information about available subsidies and processes them for application.

[0216] In this way, a concrete implementation method for factory robots to streamline subsidy applications is provided.

[0217] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0218] Step 1:

[0219] The user enters basic information and current status into the terminal. The entered information includes detailed information such as production levels and machine operation status. The input data is often in a format such as JSON or XML.

[0220] Step 2:

[0221] When the user clicks the "Submit" button, the device sends the input information to the server using an HTTP POST request, which connects to a database and receives the input information.

[0222] Step 3:

[0223] The server analyzes the received user information and converts it into an appropriate format (e.g., a database entry). This process involves data shaping and formatting.

[0224] Step 4:

[0225] The server then passes the converted data to an AI module that searches a database of public assistance programs, which uses machine learning algorithms to identify applicable subsidies based on the input information.

[0226] Step 5:

[0227] The AI ​​module returns the identified subsidy information to the server, which then formats the information and converts it into a user-friendly format, for example, creating a list of applicable subsidies for each account.

[0228] Step 6:

[0229] The formatted subsidy information is sent to the terminal, where the user can check it on the screen. The terminal then displays the details of the subsidy and instructions on how to apply.

[0230] Step 7:

[0231] Sensor information from factory equipment is periodically sent to a server, including the equipment's operating status and energy consumption data. The data is usually sent as a JSON file, which serves as a sensor data log.

[0232] Step 8:

[0233] The server also passes data collected from factory equipment to the AI ​​module, which analyzes it along with user information to identify the applicability of additional subsidies.

[0234] Step 9:

[0235] Based on the data analyzed by the AI ​​module, the server provides the factory manager with the most appropriate subsidy information. The server then generates a list of documents and procedures required for application procedures and displays it on the terminal.

[0236] Step 10:

[0237] The user (factory manager) applies for the subsidy through a terminal, prepares the necessary documents, and completes the application by following the system's instructions.

[0238] 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.

[0239] Overall system configuration and functions

[0240] This invention incorporates an AI system that determines whether individuals and businesses are eligible for subsidies and grants, and advises on application conditions and procedures. It also incorporates an emotion engine that recognizes the user's emotions. This system improves the user experience by reducing stress and anxiety and making more appropriate subsidy proposals. The system mainly consists of a server, terminals, users, and the emotion engine.

[0241] 1. User Roles

[0242] Users are the main users of this system and provide information when applying for subsidies or grants using the emotion engine. Users input their basic information and current situation into the terminal, and the emotion engine recognizes the user's emotions.

[0243] 2. Role of the terminal

[0244] The terminal provides an interface for users to input information and recognize emotions. Furthermore, the terminal receives information from the server and displays a list of subsidies available to the user and instructions on how to apply. Based on the results of the emotion engine, the terminal provides information to reduce the user's stress and anxiety.

[0245] 3. Server Roles

[0246] The server is the central part of the system, receiving information from the user and providing data to the AI ​​module and emotion engine. The server processes responses from the AI ​​module and results from the emotion engine, and formats the information to be provided to the user. The server also manages access to the database and supports the search process of the AI ​​module and emotion engine.

[0247] 4. Role of AI Module

[0248] The AI ​​module searches a database of public assistance programs based on user input and the results of the emotion engine to identify applicable subsidies. The AI ​​module uses machine learning and data analysis techniques to identify the most suitable subsidies and help simplify the application process.

[0249] 5. The Role of the Emotional Engine

[0250] The emotion engine analyzes the user's emotional state from their voice, facial expressions, text input, etc., and provides the results to the AI ​​module and server. Based on the analysis results of the emotion engine, the accuracy of identifying subsidies and the applicability of search results are improved.

[0251] Program processing flow

[0252] 1. Enter your user information:

[0253] The user accesses the device and inputs basic information such as name, address, and contact details, as well as their current situation (e.g., a newborn child, a business damaged, etc.). In addition, the emotion engine recognizes the user's emotional state from their voice, facial expressions, and text input.

[0254] 2. Transmission of Information:

[0255] When the user clicks the "Send" button, the entered information and the analysis results of the emotion engine are sent from the device to the server.

[0256] 3. Receipt and processing of information by the server:

[0257] The server receives the user's input information sent from the terminal and the analysis results of the emotion engine, and analyzes the information.

[0258] 4. Server-based data formatting:

[0259] The server converts the received user information and emotion results into an appropriate format and formats them to be provided to the AI ​​module and emotion engine.

[0260] 5. Database search by AI module:

[0261] The AI ​​module searches a database of public assistance programs to identify the subsidy that best suits the user's situation and feelings.

[0262] 6. Returning and formatting search results:

[0263] The AI ​​module sends the identified subsidy information back to the server, which receives the information.

[0264] 7. Provision of Information:

[0265] The formatted subsidy information is sent to the terminal and displayed on the user's screen. The user then proceeds with the application process based on the provided information.

[0266] Specific examples

[0267] Example 1: When a child is born

[0268] 1. The user types "My first child was born" into the device, and the emotion engine recognizes the emotion (e.g., overwhelmed with happiness).

[0269] 2. The server receives the user information and emotion results and passes them to the AI ​​module.

[0270] 3. The AI ​​module identifies "child birth subsidies" from the database and sends them back to the server.

[0271] 4. The server sends the formatted subsidy information to the terminal and provides information that is easy for the user to use based on the emotion results.

[0272] 5. The terminal displays the information to the user and guides them through the application process.

[0273] 6. The user prepares the necessary documents and follows the instructions to complete the application process.

[0274] Example 2: If your business is affected by a natural disaster

[0275] 1. The user enters "My business was damaged by an earthquake" into the device, and the emotion engine recognizes the emotion (e.g., stress or anxiety).

[0276] 2. The server passes the information and emotion results to the AI ​​module.

[0277] 3. The AI ​​module identifies "subsidies for business recovery due to natural disasters" and returns the results to the server.

[0278] 4. The server sends the formatted information to the terminal and provides information to reduce the user's anxiety based on the emotional results.

[0279] 5. The terminal displays the information to the user and guides them through the application process.

[0280] 6. The user prepares the necessary documents and completes the application process.

[0281] This system allows users to easily obtain information about subsidies and grants and to easily apply for them. In particular, the use of an emotion engine enables flexible responses according to the user's emotional state, which is expected to greatly improve the user experience.

[0282] The processing flow will be explained below.

[0283] Step 1:

[0284] The user accesses the terminal and inputs their name, address, contact information, and current situation (for example, "My first child was born" or "My business was damaged in the earthquake").

[0285] Step 2:

[0286] The user provides additional input to the device using voice and facial expressions to express their emotions, and the emotion engine analyzes this input to determine the user's emotional state (e.g., happiness, stress, anxiety, etc.).

[0287] Step 3:

[0288] The user confirms the input information and emotion information and clicks the "Send" button, which sends the information from the terminal to the server.

[0289] Step 4:

[0290] The server receives the user's basic information sent from the terminal and the emotion engine's analysis results, and analyzes the information.

[0291] Step 5:

[0292] The server converts the received user information and emotional information into an appropriate format and formats it to be provided to the AI ​​module.

[0293] Step 6:

[0294] The server passes the formatted user information and emotion information to the AI ​​module to start the data analysis and search process.

[0295] Step 7:

[0296] The AI ​​module accesses a database of public assistance programs and performs a search to identify the grant that best suits the user's situation and emotional state.

[0297] Step 8:

[0298] The AI ​​module generates a list of the most suitable grants and subsidies from the search results and extracts detailed information about the identified grants (e.g., eligibility requirements, application procedures, required documents).

[0299] Step 9:

[0300] The AI ​​module sends the generated subsidy information back to the server, which receives the information.

[0301] Step 10:

[0302] The server then formats the received subsidy information into an easy-to-understand format for the user, taking into account emotional information so that the user can use the service without feeling stressed.

[0303] Step 11:

[0304] The server transmits the formatted subsidy information to the terminal, making it accessible to the user.

[0305] Step 12:

[0306] The terminal displays the subsidy information received from the server to the user. The displayed content includes a list of the most suitable subsidies, an overview of each subsidy, application conditions, application procedures, required documents, etc.

[0307] Step 13:

[0308] The user checks the subsidy information provided on the terminal and selects the desired subsidy.

[0309] Step 14:

[0310] The user clicks the "Start Application" button to proceed with the application process for the selected grant.

[0311] Step 15:

[0312] The device will then guide the user step-by-step through the detailed application process for the selected grant, providing the user with a list of required documents, how to submit them, and a link to download the application form.

[0313] Step 16:

[0314] The user follows the instructions on the terminal to prepare the necessary documents and fill out the application form. The user then submits the documents online or offline to complete the application process.

[0315] Step 17:

[0316] The server tracks the progress of the user's application and notifies the user via the terminal of the grant results and additional information as needed.

[0317] Through this detailed process, users can quickly and efficiently obtain information on subsidies and grants, and smoothly proceed with the appropriate application procedures.In addition, the introduction of an emotion engine enables flexible responses based on the user's emotional state, which is expected to improve the user experience.

[0318] Example 2

[0319] 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."

[0320] Conventional subsidy and grant application systems have the problem that it takes a great deal of effort for users to find appropriate support information that suits their situation. In addition, because information is provided without taking into consideration the user's emotional state, users may go through the process feeling stressed or anxious. This leads to a poor user experience and an inability to receive effective support, which is an issue.

[0321] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for receiving input information from a user, emotion analysis means for analyzing the input information and the user's emotional state, means for searching a database of public assistance programs based on the analysis results and the input information and identifying applicable support information, means for providing the user with the identified support information, and means for guiding the application procedure for the support information. This enables the user to easily obtain appropriate support information according to their own situation and emotional state in a short amount of time, and to proceed with the application procedure while reducing stress and anxiety.

[0322] "User" refers to any individual or legal entity that uses the System.

[0323] "Input Information" refers to basic and contextual information that a user provides to the system.

[0324] "Emotion analysis means" refers to a technical means for analyzing a user's emotional state and obtaining the results.

[0325] "Public assistance systems" refer to assistance programs such as subsidies and grants provided by governments and public institutions.

[0326] A "database" is a collection of data that stores information related to public assistance programs.

[0327] "Applicable support information" is information about subsidies and grants that are expected to be applicable, which is identified based on the user's input information and the emotion analysis results.

[0328] "Means" refers to a method or device used by a system to achieve a particular function.

[0329] "Application process" refers to the series of actions and document submission process required to receive a grant or subsidy.

[0330] "Machine learning module" refers to a software component that uses artificial intelligence techniques to perform data analysis and pattern recognition.

[0331] This invention is a system that receives input information from a user, searches a database of public assistance programs based on that information to identify applicable assistance information, and then uses emotion analysis means to provide appropriate assistance information while reducing the user's stress and anxiety. A detailed description of specific embodiments of this system is provided below.

[0332] System configuration and functions

[0333] This system is mainly composed of a server, a terminal, and a user. We will explain the role of each and the hardware or software used.

[0334] User Roles

[0335] The user is the main user of the system and inputs basic information and current situation via a terminal. Using emotion analysis means, the system analyzes the user's emotional state from voice, facial expressions, text input, etc.

[0336] Device Role

[0337] The terminal provides an interface for users to input information and perform sentiment analysis. It also displays information received from the server to users and provides information on applicable support and details of application procedures.

[0338] Server Roles

[0339] The server acts as the central part of the system, receiving information from users and processing the data using sentiment analysis and AI modules. The server then formats the received information and searches a database of public assistance programs to identify applicable assistance information. The identified information is then formatted again and provided to the user via their device.

[0340] Emotion analysis means

[0341] Sentiment analysis is a technical means for acquiring and analyzing emotional data such as voice, facial expressions, and text, as well as user input information. Machine learning algorithms (e.g., random forests and support vector machines) are used for emotion analysis. This makes it possible to provide information according to the user's emotional state.

[0342] AI Module

[0343] The AI ​​module searches the database of public assistance programs based on user information and emotion analysis results to identify the most appropriate assistance information. By using machine learning algorithms and data analysis techniques, it can accurately identify assistance information that suits the user's situation and conditions.

[0344] Specific examples

[0345] The following are some examples of specific usage scenarios:

[0346] Example 1: When a child is born

[0347] 1. The user enters "My first child was born" into the terminal, and the emotion analysis means recognizes the feeling of happiness.

[0348] 2. The device sends this information to the server.

[0349] 3. The server receives the information and passes it to the AI ​​module.

[0350] 4. The AI ​​module identifies "child birth subsidies" and sends the results back to the server.

[0351] 5. The server sends the formatted subsidy information to the terminal and displays it to the user.

[0352] 6. The user follows the instructions to complete the detailed application process.

[0353] Example 2: If your business is affected by a natural disaster

[0354] 1. The user inputs "My workplace was damaged by an earthquake" into the terminal, and stress is recognized using emotion analysis means.

[0355] 2. The device sends this information to the server.

[0356] 3. The server receives the information and passes it to the AI ​​module.

[0357] 4. The AI ​​module identifies "subsidies for business recovery due to natural disasters" and returns the results to the server.

[0358] 5. The server sends the formatted subsidy information to the terminal and displays it to the user.

[0359] 6. The user follows the instructions to complete the detailed application process.

[0360] Prompt Sentence Examples

[0361] Examples of prompts to the generative AI model when using this system include:

[0362] "What grants are available for my first child?"

[0363] "My business was damaged in the earthquake. I would like to know about natural disaster subsidies."

[0364] With the above configuration and functions, this system allows users to easily obtain optimal support information and proceed with the application process with flexible responses according to their emotional state.

[0365] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0366] Step 1: The user enters basic information and current situation into the device.

[0367] Specifically, the user enters their name, address, contact information, and current situation (e.g., the birth of their first child, or their business has been affected) into a form on the device screen. After the user has entered all the necessary information, the emotion analysis means recognizes their emotional state from their voice, facial expressions, and text. This allows the input to be collected on the device, and basic information and the emotion analysis results are obtained.

[0368] Step 2: The device sends the input information and emotion analysis results to the server.

[0369] When the user clicks the "Send" button, the device packetizes the aggregated input information and emotion analysis results and sends them to the server using the HTTPS protocol. At this time, the input is sent by the device, and the server receives the basic information and emotion data.

[0370] Step 3: The server analyzes the received information

[0371] The server analyzes the received basic information and emotion analysis results. Specifically, the server converts the received information into JSON format and temporarily stores the data in a database. The analysis results are formatted user information and emotion data.

[0372] Step 4: The server provides the data to the AI ​​module and sentiment analysis method

[0373] The server passes the formatted data to the AI ​​module and sentiment analysis means. Specifically, the server's data processing engine distributes the data and formats it for the AI ​​module and sentiment analysis means. This means that input is provided by the server and data is ready for analysis.

[0374] Step 5: The AI ​​module searches the database to identify applicable grants

[0375] The AI ​​module uses the provided basic information and emotion data to search a database of public assistance programs. Specifically, it uses machine learning algorithms (e.g., random forests and support vector machines) to identify subsidy information appropriate for the user's situation. The output is information about applicable subsidies.

[0376] Step 6: The server formats the results from the AI ​​module

[0377] The server formats the subsidy information received from the AI ​​module and converts it into a format that can be provided to the user. Specifically, the server converts the received data into HTML or XML format, making it easy for users to understand. The formatted subsidy information is obtained as output.

[0378] Step 7: The device displays the formatted grant information to the user.

[0379] The device receives the application subsidy information from the server and displays it on the user's screen. Specifically, the device's web browser or application renders the information and presents it in a visually easy-to-understand format. This allows the user to obtain applicable subsidy information and receive detailed guidance to proceed with the application process.

[0380] Through these steps, the system enables users to efficiently obtain information on applicable subsidies and grants, and respond flexibly according to their emotional state.

[0381] (Application example 2)

[0382] 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."

[0383] Conventional systems providing information on subsidies and grants do not take into account the user's emotional state, and therefore are unable to reduce the stress and anxiety that users feel when receiving information. In addition, there are cases where appropriate subsidy proposals are not made, making it necessary to improve the user experience.

[0384] The specification process by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for receiving input information from a user, means for searching a database of public support programs based on the input information and identifying applicable subsidies, means for providing information on the identified subsidies to the user, and means for recognizing the user's emotional state and providing information to reduce stress and anxiety based on the emotion. This enables flexible subsidy proposals that take the user's emotional state into consideration, and is expected to improve the user experience.

[0385] "User input information" refers to basic information and detailed information about the current situation that a user provides to the system.

[0386] The "Public Support System Database" is a database for collecting and managing information on subsidies and grants provided by governments and public institutions.

[0387] The "means for identifying applicable subsidies" refers to a technical means for searching the database based on information provided by the user and finding out the subsidies that the user is eligible to receive.

[0388] The "means for providing subsidy information to the user" is a means for informing the user of the details of the identified subsidy and how to apply for it.

[0389] The "means for guiding the subsidy application procedure" is a means for instructing the user on the process and how to prepare the documents required to actually apply for the identified subsidy.

[0390] The "means for recognizing emotional states" is a technical means for analyzing the psychological state of the user from their voice, facial expressions, text input, etc., and providing the results to other system modules.

[0391] "Means for providing information that reduces stress and anxiety" refers to means for providing information and services that relieve mental stress based on the emotional state of the user.

[0392] The "artificial intelligence module" is a technology module that uses machine learning and data analysis techniques to identify the most suitable subsidies for users and improve the applicability of search results.

[0393] To implement the present invention, a system having the following configuration is used.

[0394] First, the device that inputs user information must have a camera and a microphone, which can capture the user's basic information and current situation information, as well as facial expressions and voice. The device also includes an interface for processing the input information and sending it to the server.

[0395] The server receives the input information sent by the user and performs the following processes.

[0396] 1. Analyze the user's input information and use an emotion engine to recognize the user's emotional state. Specifically, image processing is performed using OpenCV, and facial expressions are analyzed using DeepFace. Furthermore, audio analysis using librosa is performed to extract audio features (MFCC) and identify the user's emotional state.

[0397] 2. The server then searches a database of public assistance programs based on the basic information provided by the user and the results of the emotion engine. An artificial intelligence module is used here to identify the most suitable subsidies and grants.

[0398] 3. The identified subsidy information is retransmitted from the server to the terminal, which then informs the user of the applicable subsidy information and the application procedure.

[0399] Furthermore, based on the results of the emotion engine, information is provided that takes into account the user's emotional state. For example, if the user is feeling stressed or anxious, information about relaxation corners and services will be provided. This improves the user experience.

[0400] An example of this system includes the following steps:

[0401] 1. The user inputs "My first child was born" into the device. The device's camera recognizes the user's happiness from their facial expression and analyzes their emotions from their voice input.

[0402] 2. The server receives the information and emotion results and searches the database to identify "child birth grants."

[0403] 3. The server sends the formatted subsidy information to the terminal and displays the information in a format that is easy for the user to use.

[0404] 4. The terminal will provide detailed instructions on the subsidy application procedure, and the user will prepare the necessary documents to complete the application.

[0405] The following are examples of prompt sentences:

[0406] User: Open the smartphone app

[0407] System: Allow use of camera and microphone

[0408] User: Allow

[0409] System: Capturing emotions...

[0410] System: Your emotion is "Euphoria". Take advantage of the following special promotions:

[0411] Promotion 1: 20% off product A

[0412] Promotion 2: Free Drink Coupon

[0413] Promotion 3: Triple VIP Member Points Campaign

[0414] In this way, the entire system operates in an integrated manner, enabling flexible responses that take into account the user's emotional state.

[0415] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0416] Step 1:

[0417] The user inputs information into the device. The user inputs basic information (such as name and address) and current situation (e.g., the first child was born) on the smartphone screen. The emotion engine also uses the camera and microphone to capture the user's facial expressions and voice data. The input information is then saved on the device as text data and multimedia data.

[0418] Step 2:

[0419] The device sends the input information to the server. The device converts the user's input text data and the captured facial expression and voice data into packet data and sends it to the server. The transmitted data waits for analysis on the server.

[0420] Step 3:

[0421] The server analyzes the received data. The server analyzes the received text data, facial expressions, and voice data to extract the user's basic information and emotional state. The text data is analyzed using a natural language processing (NLP) engine, and emotion analysis includes facial expression recognition using OpenCV and DeepFace and analysis of voice features (MFCC) using librosa. The analysis results in the user's basic information and emotional data in rich text format.

[0422] Step 4:

[0423] The server searches the database. Based on the analysis results, the server's artificial intelligence module searches the database of public assistance programs and identifies the subsidies and grants that are most suitable for the user. This is a process that uses a machine learning algorithm to match the user's situation with the assistance information in the database. The identified subsidy information is stored in temporary storage on the server.

[0424] Step 5:

[0425] The server formats the subsidy information and sends it to the terminal. The server formats the identified subsidy information in a format that is easy for the user to understand, and formats the data including instructions on the necessary application procedures. The formatted data is converted back into packet data and sent to the terminal.

[0426] Step 6:

[0427] The terminal provides the user with subsidy information. The terminal displays the data received from the server and provides the user with information on the most suitable subsidies and grants and specific application procedures. This allows the user to check detailed information about the subsidies and how to apply on the terminal screen.

[0428] Step 7:

[0429] Providing information according to the user's emotional state. Based on the emotion analysis results from the server, the device provides additional information and support according to the user's emotional state. For example, if the user is feeling stressed, it displays options for relaxation techniques and mental support. Providing such information reduces the user's mental burden and provides a better user experience.

[0430] Through these steps, the system is able to propose optimal subsidies based on the user's input information and emotional state, and provide information to reduce stress and anxiety.

[0431] 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.

[0432] 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.

[0433] 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.

[0434] [Second embodiment]

[0435] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0436] 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.

[0437] 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).

[0438] 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.

[0439] 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.

[0440] 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).

[0441] 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.

[0442] 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.

[0443] 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.

[0444] 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.

[0445] 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.

[0446] 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."

[0447] Overall system configuration and functions

[0448] This invention provides a system in which AI determines the eligibility of individuals and businesses for subsidies and grants, and provides advice on application conditions and procedures. The system is primarily composed of a server, terminals, and users.

[0449] 1. User Roles

[0450] Users are the primary users of this system and provide information to apply for subsidies and grants. Users enter their basic information and current situation into a terminal and submit it. This information is used by the system to identify eligible subsidies.

[0451] 2. Role of the terminal

[0452] The terminal provides an interface for users to input information. Furthermore, the terminal receives information from the server and displays a list of subsidies available to the user and instructions on how to apply. This allows the user to smoothly apply for the subsidies.

[0453] 3. Server Roles

[0454] The server is the central part of the system, receiving information from the user and providing data to the AI ​​module. The server processes responses from the AI ​​module and formats the information to be provided to the user. The server also manages access to the database and supports the search process of the AI ​​module.

[0455] 4. Role of AI Module

[0456] The AI ​​module searches a database of public assistance programs based on user input and identifies applicable subsidies. The AI ​​module uses machine learning and data analysis techniques to identify the most suitable subsidies and help simplify the application process.

[0457] Program processing flow

[0458] 1. Enter your user information:

[0459] The user accesses the terminal and enters basic information such as name, address, and contact details, as well as their current situation (e.g., a newborn child, their business has been affected, etc.).

[0460] 2. Transmission of Information:

[0461] When the user clicks the "Submit" button, the entered information is sent to the server.

[0462] 3. Receipt and processing of information by the server:

[0463] The server receives the information received from the user, converts it into an appropriate format, and then passes it on to the AI ​​module.

[0464] 4. Database search by AI module:

[0465] The AI ​​module searches a database of public assistance programs to identify the subsidy that best suits the user's situation.

[0466] 5. Returning and formatting search results:

[0467] The AI ​​module sends the identified subsidy information back to the server, which formats it for presentation to the user.

[0468] 6. Provision of Information:

[0469] The formatted subsidy information is sent to the terminal and displayed on the user's screen. The user then proceeds with the application process based on the provided information.

[0470] Specific examples

[0471] Example 1: When a child is born

[0472] 1. The user types "My first child was born" into the terminal.

[0473] 2. The server receives the user information and passes it to the AI ​​module.

[0474] 3. The AI ​​module identifies "child birth subsidies" from the database.

[0475] 4. The server sends the formatted subsidy information to the terminal.

[0476] 5. The terminal displays the information to the user and guides them through the application process.

[0477] 6. The user prepares the necessary documents and follows the instructions to complete the application process.

[0478] Example 2: If your business is affected by a natural disaster

[0479] 1. The user types "My business was damaged by an earthquake" into the terminal.

[0480] 2. The server passes the information to the AI ​​module.

[0481] 3. The AI ​​module identifies "subsidies for business recovery due to natural disasters."

[0482] 4. The server sends the formatted information to the terminal.

[0483] 5. The terminal displays the information to the user and guides them through the application process.

[0484] 6. The user prepares the necessary documents and completes the application process.

[0485] This system allows users to easily obtain information on subsidies and grants and to easily apply for them. In particular, the use of an AI module enables highly accurate information to be provided, greatly improving user convenience.

[0486] The processing flow will be explained below.

[0487] Step 1:

[0488] The user accesses the terminal and inputs their name, address, contact information, and current situation (for example, "My first child was born" or "My business was damaged in the earthquake").

[0489] Step 2:

[0490] The user confirms the input information and clicks the "Send" button, which sends the information from the terminal to the server.

[0491] Step 3:

[0492] The server receives the user's input information sent from the terminal and analyzes the information.

[0493] Step 4:

[0494] The server converts the received user information into an appropriate format and formats it for provision to the AI ​​module.

[0495] Step 5:

[0496] The server passes the formatted user information to the AI ​​module, which starts the data analysis and search process.

[0497] Step 6:

[0498] The AI ​​module accesses a database of public assistance programs and performs a search to identify the subsidy that best suits the user's situation.

[0499] Step 7:

[0500] The AI ​​module generates a list of the most suitable grants and subsidies from the search results and extracts detailed information about the identified grants (e.g., eligibility requirements, application procedures, required documents).

[0501] Step 8:

[0502] The AI ​​module sends the generated subsidy information back to the server, which receives the information.

[0503] Step 9:

[0504] The server formats the received subsidy information into an easy-to-understand format for presentation to the user.

[0505] Step 10:

[0506] The server transmits the formatted subsidy information to the terminal, making it accessible to the user.

[0507] Step 11:

[0508] The terminal displays the subsidy information received from the server to the user. The displayed content includes a list of the most suitable subsidies, an overview of each subsidy, application conditions, application procedures, required documents, etc.

[0509] Step 12:

[0510] The user checks the subsidy information provided on the terminal and selects the desired subsidy.

[0511] Step 13:

[0512] The user clicks the "Start Application" button to proceed with the application process for the selected grant.

[0513] Step 14:

[0514] The device will then guide the user step-by-step through the detailed application process for the selected grant, providing the user with a list of required documents, how to submit them, and a link to download the application form.

[0515] Step 15:

[0516] The user follows the instructions on the terminal to prepare the necessary documents and fill out the application form. The user then submits the documents online or offline to complete the application process.

[0517] Step 16:

[0518] The server tracks the progress of the user's application and notifies the user via the terminal of the grant results and additional information as needed.

[0519] By implementing the system in accordance with these steps, users can quickly and efficiently obtain information on grants and subsidies and complete the application process.

[0520] Example 1

[0521] 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."

[0522] The traditional application process for subsidies and grants is time-consuming and laborious, as users must search for applicable subsidies and go through complex procedures themselves. There's also the risk of overlooking applicable subsidies, which creates issues with user convenience and the success rate of applications. In response, there's a need for a system that allows users to easily and quickly identify applicable subsidies and smoothly advance the application process.

[0523] 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.

[0524] In this invention, the server includes means for receiving input information from a user, means for searching a database of public support programs based on the input information and identifying applicable subsidies, means for formatting information on the identified subsidies to provide to the user, and means for guiding the application procedures for the subsidies, thereby enabling the user to efficiently find applicable subsidies and smoothly proceed with the application procedures.

[0525] "User" means an individual or business that utilizes the system to input information and identify and apply for eligible grants.

[0526] "Input Information" means the name, address, contact details, and specific situation information that a user provides to the system.

[0527] "Server" means a central processing unit that receives input information from a user, processes it to identify applicable subsidies, and provides formatted information to the user.

[0528] "Subsidy information" refers to information regarding financial support and grants related to public support systems.

[0529] "Application Procedure" refers to the process for preparing and submitting documents necessary for a User to receive applicable subsidies.

[0530] The "artificial intelligence module" is a software component that uses machine learning algorithms and data analysis techniques to search a database of public assistance programs based on user input and identify applicable subsidies.

[0531] A "terminal" is a device (e.g., a PC or smartphone) through which a user inputs information and receives and displays subsidy information and application procedure details from the server.

[0532] A "database" is a collection of information that stores detailed information on public support programs related to subsidies and grants.

[0533] This invention provides a system that enables individuals and businesses to smoothly apply for subsidies and grants. The system is mainly composed of a server, terminals, and users.

[0534] 1. User Roles

[0535] Users are the primary users of the system and provide information to apply for subsidies and grants. Users enter their basic information (name, address, contact information) and specific circumstances (e.g., the birth of a child, a business damaged by a disaster, etc.) into a terminal. Based on the information provided, users check the applicability of subsidies and proceed with the application process.

[0536] 2. Role of the terminal

[0537] The terminal provides an interface for users to input information. The terminal also receives information from the server and displays a list of applicable subsidies and instructions on how to apply for them. The terminal can be a PC or a smartphone. The terminal uses a web browser to display a form for users to enter information, and when the user clicks the submit button, the entered information is sent to the server.

[0538] 3. Server Roles

[0539] The server is the central part of the system, receiving input information from the user, converting it into an appropriate format, and then passing it on to the artificial intelligence module. Servers are generally built using cloud infrastructure such as AWS (Amazon Web Services). The server efficiently processes data using a distributed streaming platform such as Apache Kafka. The server receives responses from the AI ​​module and formats the information to be provided to the user. The server also manages access to the database and supports the search process of the AI ​​module.

[0540] 4. Role of AI Module

[0541] The AI ​​module searches a database of public assistance programs based on the user's input information and identifies applicable subsidies. The AI ​​module is built using machine learning frameworks such as TensorFlow and PyTorch. It also uses natural language processing (NLP) technology to analyze the user's input information. The AI ​​module searches the database (SQL or NoSQL) for the most suitable subsidies and returns the search results to the server.

[0542] Specific examples

[0543] Example 1: When a child is born

[0544] 1. The user types "My first child was born" into the terminal and clicks the send button.

[0545] 2. The server receives this information, converts it into JSON format, and sends it to the AI ​​module.

[0546] 3. The AI ​​module searches the database for "child birth subsidies" and returns the results to the server.

[0547] 4. The server sends the formatted subsidy information to the terminal.

[0548] 5. The device displays information to the user and provides details on the application procedure for the "Childbirth Subsidy." The user then proceeds with the application process based on the displayed information.

[0549] Example prompt sentence:

[0550] "My first child has been born. Please tell me what kind of subsidies I can apply for."

[0551] Example 2: When a business is affected by a natural disaster

[0552] 1. The user types "Our business was damaged by the earthquake" into the terminal and clicks the send button.

[0553] 2. The server receives this information, converts it into JSON format, and sends it to the AI ​​module.

[0554] 3. The AI ​​module searches the database for "subsidies for business recovery due to natural disasters" and returns the results to the server.

[0555] 4. The server sends the formatted subsidy information to the terminal.

[0556] 5. The device displays information to the user and provides details on the application procedure for the "Subsidy for Business Recovery Due to Natural Disasters." The user proceeds with the application procedure based on the displayed information.

[0557] Example prompt sentence:

[0558] "My business was damaged in the earthquake. Please tell me what subsidies are available."

[0559] This system allows users to easily obtain information on subsidies and grants and to easily apply for them. In particular, the use of an AI module enables highly accurate information provision, greatly improving user convenience.

[0560] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0561] Step 1:

[0562] The user accesses the terminal and inputs their name, address, contact details, and specific circumstances (e.g., "My first child was born"). The user enters the input data (name, address, contact details, specific circumstances) into the form and clicks the submit button. All input data is collected and temporarily stored in the terminal.

[0563] Step 2:

[0564] The terminal collects user input information and creates an HTTP POST request. It converts the collected input data into JSON format and sends it to a specific endpoint on the server. Specifically, it sends the data to the URL https: / / example.com / api / submit. The terminal converts the input data into JSON format, creates an HTTP POST request, and sends it to the server.

[0565] Step 3:

[0566] The server receives HTTP requests sent from the device. It parses the received data into JSON format to convert it into the appropriate format. It then stores this data in a database and prepares it for passing to the AI ​​module. Specifically, the server processes the request data using a framework such as Node.js or Python. It receives input data (in JSON format), stores it in a database, and formats it for the AI ​​module.

[0567] Step 4:

[0568] The AI ​​module begins analysis based on the data received from the server. It analyzes the received JSON data and identifies subsidies related to the user's input information. Specifically, the AI ​​module is built using TensorFlow and PyTorch, and uses natural language processing (NLP) techniques to search the database for the most suitable subsidies based on the input information. It analyzes the received data, performs a database search, and identifies the most suitable subsidy information.

[0569] Step 5:

[0570] The AI ​​module generates search results and sends them back to the server. The generated results are sent to the server in JSON format. The server receives the received search results and formats them to be presented to the user. Specifically, it converts the search result data into a user-friendly format (such as HTML) using a template engine (e.g., Handlebars.js or EJS). It receives the search result data and converts and formats it into a user-friendly format.

[0571] Step 6:

[0572] The server sends the formatted subsidy information to the terminal. The formatted data is returned to the terminal as an HTTP response. The terminal dynamically updates the user screen based on the received data, displaying the subsidy information and details of the application procedure. Specifically, the terminal's browser uses HTML and JavaScript to update the screen display and provide information to the user. The formatted subsidy information is displayed on the user screen, and details of the application procedure are provided.

[0573] Step 7:

[0574] The user checks the subsidy information and application procedure details displayed on the terminal and proceeds with the application procedure by following the instructions.Specific actions include preparing the necessary documents and submitting the application according to the specified procedures.The subsidy application procedure is carried out based on the information provided.

[0575] (Application example 1)

[0576] 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."

[0577] In recent years, advances in automation technology in factories have created a need for efficient acquisition of subsidies and grants as a means of fundraising. However, identifying applicable subsidies from the vast amount of subsidy information and applying for them is a time-consuming and laborious task. Furthermore, there is a lack of technology to identify applicable subsidies in real time using factory operation status and production data. As a result, particularly in small and medium-sized factories, subsidy application procedures are often not carried out properly, resulting in missed opportunities for potential support. The purpose of this invention is to provide a system that automates the collection of subsidy information and applicability determination in factories, thereby facilitating the application process.

[0578] 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.

[0579] In this invention, the server includes a means for receiving input information from a user, a means for searching a database of public support programs based on the input information to identify applicable subsidies, and a means for providing information on the identified subsidies to the user. This allows users to efficiently obtain subsidy information and simplify application procedures. The server also includes a means for collecting data from factory equipment, analyzing the data, and identifying applicable subsidies, and a means for providing the collected subsidy information to the factory manager to proceed with the application process. This enables subsidy application procedures that reflect the current factory situation in real time, significantly reducing the effort and time required for subsidy applications.

[0580] "User information" refers to basic information about individuals and businesses and detailed information about their current situation that is entered into the system.

[0581] The "Public Support System Database" is a database that stores information on subsidies and grants provided by the government and local governments.

[0582] The "AI module" is a software module that uses machine learning and data analysis technology to identify the most appropriate subsidy based on input information and help simplify the application process.

[0583] "Data from factory equipment" refers to data such as production levels, machine operation status, and accident reports obtained from sensors and equipment within the factory.

[0584] "Factory manager" refers to the person or position in charge of operating and managing a factory, and is the primary recipient of subsidy information and application procedures.

[0585] "Applicable subsidy information" is detailed information on applicable subsidies and grants that are identified based on user information and data from factory equipment.

[0586] "Application process" means the series of processes, including the submission of documents and procedures, required to obtain an identified subsidy or grant.

[0587] "Real-time" refers to a form of processing and evaluation that immediately reflects the current situation.

[0588] Overall system configuration and functions

[0589] The system consists of a user, a terminal, a server, and an AI module. The system identifies applicable subsidies based on the information provided by the user and supports the application process.

[0590] 1. User Roles

[0591] Users are the main users of the system and provide information to apply for subsidies and grants. Users enter their basic information and current situation into their terminal and submit it. This information is sent to the server and becomes the basis for analysis by the AI ​​module.

[0592] 2. Role of the terminal

[0593] The terminal provides an interface for users to input information. Furthermore, the terminal receives information from the server and displays a list of subsidies available to the user and instructions on how to apply. This allows the user to smoothly proceed with the subsidy application process.

[0594] 3. Server Roles

[0595] The server is the central part of the system, receiving information from the user, converting it into an appropriate format, and providing it to the AI ​​module. The server processes the responses from the AI ​​module and formats the information to provide to the user. The server also manages access to the database and supports the AI ​​module's search process.

[0596] 4. Role of AI Module

[0597] The AI ​​module uses machine learning and data analysis techniques to search a database of public assistance programs based on user input and identify the most suitable subsidies, making it possible to identify subsidies that are tailored to the user's circumstances.

[0598] 5. Collecting data from factory equipment

[0599] Factory equipment collects data from sensors and other devices, which is sent to a server where an AI module analyzes it to determine subsidy eligibility.

[0600] Program processing flow

[0601] 1. Enter your user information:

[0602] The user accesses the terminal and enters basic information such as name, address, contact details, and current status (e.g., production level, machine operation status, etc.).

[0603] 2. Transmission of Information:

[0604] When the user clicks the "Submit" button, the entered information is sent to the server.

[0605] 3. Receipt and processing of information by the server:

[0606] The server receives information from users, converts it into an appropriate format, and then passes it to the AI ​​module. It also collects data from factory equipment and passes it to the AI ​​module.

[0607] 4. Database search by AI module:

[0608] The AI ​​module searches a database of public assistance programs to identify the subsidy that best suits the user's situation.

[0609] 5. Returning and formatting search results:

[0610] The AI ​​module sends the identified subsidy information back to the server, which formats it for presentation to the user.

[0611] 6. Information and application procedures:

[0612] The formatted subsidy information is sent to the terminal and displayed on the user's screen. The user then proceeds with the application process based on the provided information.

[0613] Specific examples

[0614] Example 1: Application of subsidies for energy efficiency improvements

[0615] 1. Sensors in the factory collect energy consumption data.

[0616] 2. The robot sends the collected data to the server.

[0617] 3. The server passes the data to the AI ​​module, which identifies "subsidies for improving energy efficiency."

[0618] 4. The server sends the formatted information to the terminal and displays it to the user (factory manager).

[0619] 5. The user proceeds.

[0620] Example 2: Application of subsidies for strengthening safety measures

[0621] 1. Sensors collect safety-related data such as "abnormal high temperature."

[0622] 2. The data is sent to the server, and the AI ​​module identifies "subsidies for strengthening safety measures."

[0623] 3. The server sends the information to the terminal and displays it to the user (factory manager).

[0624] 4. The user proceeds with the application process.

[0625] Example prompts for generative AI models

[0626] Write code for an application that collects energy consumption data from a factory and identifies subsidies for improving energy efficiency. A factory robot sends this data to a server, which receives information about available subsidies and processes them for application.

[0627] In this way, a concrete implementation method for factory robots to streamline subsidy applications is provided.

[0628] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0629] Step 1:

[0630] The user enters basic information and current status into the terminal. The entered information includes detailed information such as production levels and machine operation status. The input data is often in a format such as JSON or XML.

[0631] Step 2:

[0632] When the user clicks the "Submit" button, the device sends the input information to the server using an HTTP POST request, which connects to a database and receives the input information.

[0633] Step 3:

[0634] The server analyzes the received user information and converts it into an appropriate format (e.g., a database entry). This process involves data shaping and formatting.

[0635] Step 4:

[0636] The server then passes the converted data to an AI module that searches a database of public assistance programs, which uses machine learning algorithms to identify applicable subsidies based on the input information.

[0637] Step 5:

[0638] The AI ​​module returns the identified subsidy information to the server, which then formats the information and converts it into a user-friendly format, for example, creating a list of applicable subsidies for each account.

[0639] Step 6:

[0640] The formatted subsidy information is sent to the terminal, where the user can check it on the screen. The terminal then displays the details of the subsidy and instructions on how to apply.

[0641] Step 7:

[0642] Sensor information from factory equipment is periodically sent to a server, including the equipment's operating status and energy consumption data. The data is usually sent as a JSON file, which serves as a sensor data log.

[0643] Step 8:

[0644] The server also passes data collected from factory equipment to the AI ​​module, which analyzes it along with user information to identify the applicability of additional subsidies.

[0645] Step 9:

[0646] Based on the data analyzed by the AI ​​module, the server provides the factory manager with the most appropriate subsidy information. The server then generates a list of documents and procedures required for application procedures and displays it on the terminal.

[0647] Step 10:

[0648] The user (factory manager) applies for the subsidy through a terminal, prepares the necessary documents, and completes the application by following the system's instructions.

[0649] 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.

[0650] Overall system configuration and functions

[0651] This invention incorporates an AI system that determines whether individuals and businesses are eligible for subsidies and grants, and advises on application conditions and procedures. It also incorporates an emotion engine that recognizes the user's emotions. This system improves the user experience by reducing stress and anxiety and making more appropriate subsidy proposals. The system mainly consists of a server, terminals, users, and the emotion engine.

[0652] 1. User Roles

[0653] Users are the main users of this system and provide information when applying for subsidies or grants using the emotion engine. Users input their basic information and current situation into the terminal, and the emotion engine recognizes the user's emotions.

[0654] 2. Role of the terminal

[0655] The terminal provides an interface for users to input information and recognize emotions. Furthermore, the terminal receives information from the server and displays a list of subsidies available to the user and instructions on how to apply. Based on the results of the emotion engine, the terminal provides information to reduce the user's stress and anxiety.

[0656] 3. Server Roles

[0657] The server is the central part of the system, receiving information from the user and providing data to the AI ​​module and emotion engine. The server processes responses from the AI ​​module and results from the emotion engine, and formats the information to be provided to the user. The server also manages access to the database and supports the search process of the AI ​​module and emotion engine.

[0658] 4. Role of AI Module

[0659] The AI ​​module searches a database of public assistance programs based on user input and the results of the emotion engine to identify applicable subsidies. The AI ​​module uses machine learning and data analysis techniques to identify the most suitable subsidies and help simplify the application process.

[0660] 5. The Role of the Emotional Engine

[0661] The emotion engine analyzes the user's emotional state from their voice, facial expressions, text input, etc., and provides the results to the AI ​​module and server. Based on the analysis results of the emotion engine, the accuracy of identifying subsidies and the applicability of search results are improved.

[0662] Program processing flow

[0663] 1. Enter your user information:

[0664] The user accesses the device and inputs basic information such as name, address, and contact details, as well as their current situation (e.g., a newborn child, a business damaged, etc.). In addition, the emotion engine recognizes the user's emotional state from their voice, facial expressions, and text input.

[0665] 2. Transmission of Information:

[0666] When the user clicks the "Send" button, the entered information and the analysis results of the emotion engine are sent from the device to the server.

[0667] 3. Receipt and processing of information by the server:

[0668] The server receives the user's input information sent from the terminal and the analysis results of the emotion engine, and analyzes the information.

[0669] 4. Server-based data formatting:

[0670] The server converts the received user information and emotion results into an appropriate format and formats them to be provided to the AI ​​module and emotion engine.

[0671] 5. Database search by AI module:

[0672] The AI ​​module searches a database of public assistance programs to identify the subsidy that best suits the user's situation and feelings.

[0673] 6. Returning and formatting search results:

[0674] The AI ​​module sends the identified subsidy information back to the server, which receives the information.

[0675] 7. Provision of Information:

[0676] The formatted subsidy information is sent to the terminal and displayed on the user's screen. The user then proceeds with the application process based on the provided information.

[0677] Specific examples

[0678] Example 1: When a child is born

[0679] 1. The user types "My first child was born" into the device, and the emotion engine recognizes the emotion (e.g., overwhelmed with happiness).

[0680] 2. The server receives the user information and emotion results and passes them to the AI ​​module.

[0681] 3. The AI ​​module identifies "child birth subsidies" from the database and sends them back to the server.

[0682] 4. The server sends the formatted subsidy information to the terminal and provides information that is easy for the user to use based on the emotion results.

[0683] 5. The terminal displays the information to the user and guides them through the application process.

[0684] 6. The user prepares the necessary documents and follows the instructions to complete the application process.

[0685] Example 2: If your business is affected by a natural disaster

[0686] 1. The user enters "My business was damaged by an earthquake" into the device, and the emotion engine recognizes the emotion (e.g., stress or anxiety).

[0687] 2. The server passes the information and emotion results to the AI ​​module.

[0688] 3. The AI ​​module identifies "subsidies for business recovery due to natural disasters" and returns the results to the server.

[0689] 4. The server sends the formatted information to the terminal and provides information to reduce the user's anxiety based on the emotional results.

[0690] 5. The terminal displays the information to the user and guides them through the application process.

[0691] 6. The user prepares the necessary documents and completes the application process.

[0692] This system allows users to easily obtain information about subsidies and grants and to easily apply for them. In particular, the use of an emotion engine enables flexible responses according to the user's emotional state, which is expected to greatly improve the user experience.

[0693] The processing flow will be explained below.

[0694] Step 1:

[0695] The user accesses the terminal and inputs their name, address, contact information, and current situation (for example, "My first child was born" or "My business was damaged in the earthquake").

[0696] Step 2:

[0697] The user provides additional input to the device using voice and facial expressions to express their emotions, and the emotion engine analyzes this input to determine the user's emotional state (e.g., happiness, stress, anxiety, etc.).

[0698] Step 3:

[0699] The user confirms the input information and emotion information and clicks the "Send" button, which sends the information from the terminal to the server.

[0700] Step 4:

[0701] The server receives the user's basic information sent from the terminal and the emotion engine's analysis results, and analyzes the information.

[0702] Step 5:

[0703] The server converts the received user information and emotional information into an appropriate format and formats it to be provided to the AI ​​module.

[0704] Step 6:

[0705] The server passes the formatted user information and emotion information to the AI ​​module to start the data analysis and search process.

[0706] Step 7:

[0707] The AI ​​module accesses a database of public assistance programs and performs a search to identify the grant that best suits the user's situation and emotional state.

[0708] Step 8:

[0709] The AI ​​module generates a list of the most suitable grants and subsidies from the search results and extracts detailed information about the identified grants (e.g., eligibility requirements, application procedures, required documents).

[0710] Step 9:

[0711] The AI ​​module sends the generated subsidy information back to the server, which receives the information.

[0712] Step 10:

[0713] The server then formats the received subsidy information into an easy-to-understand format for the user, taking into account emotional information so that the user can use the service without feeling stressed.

[0714] Step 11:

[0715] The server transmits the formatted subsidy information to the terminal, making it accessible to the user.

[0716] Step 12:

[0717] The terminal displays the subsidy information received from the server to the user. The displayed content includes a list of the most suitable subsidies, an overview of each subsidy, application conditions, application procedures, required documents, etc.

[0718] Step 13:

[0719] The user checks the subsidy information provided on the terminal and selects the desired subsidy.

[0720] Step 14:

[0721] The user clicks the "Start Application" button to proceed with the application process for the selected grant.

[0722] Step 15:

[0723] The device will then guide the user step-by-step through the detailed application process for the selected grant, providing the user with a list of required documents, how to submit them, and a link to download the application form.

[0724] Step 16:

[0725] The user follows the instructions on the terminal to prepare the necessary documents and fill out the application form. The user then submits the documents online or offline to complete the application process.

[0726] Step 17:

[0727] The server tracks the progress of the user's application and notifies the user via the terminal of the grant results and additional information as needed.

[0728] Through this detailed process, users can quickly and efficiently obtain information on subsidies and grants, and smoothly proceed with the appropriate application procedures.In addition, the introduction of an emotion engine enables flexible responses based on the user's emotional state, which is expected to improve the user experience.

[0729] Example 2

[0730] 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."

[0731] Conventional subsidy and grant application systems have the problem that it takes a great deal of effort for users to find appropriate support information that suits their situation. In addition, because information is provided without taking into consideration the user's emotional state, users may go through the process feeling stressed or anxious. This leads to a poor user experience and an inability to receive effective support, which is an issue.

[0732] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for receiving input information from a user, emotion analysis means for analyzing the input information and the user's emotional state, means for searching a database of public assistance programs based on the analysis results and the input information and identifying applicable support information, means for providing the user with the identified support information, and means for guiding the application procedure for the support information. This enables the user to easily obtain appropriate support information according to their own situation and emotional state in a short amount of time, and to proceed with the application procedure while reducing stress and anxiety.

[0733] "User" refers to any individual or legal entity that uses the System.

[0734] "Input Information" refers to basic and contextual information that a user provides to the system.

[0735] "Emotion analysis means" refers to a technical means for analyzing a user's emotional state and obtaining the results.

[0736] "Public assistance systems" refer to assistance programs such as subsidies and grants provided by governments and public institutions.

[0737] A "database" is a collection of data that stores information related to public assistance programs.

[0738] "Applicable support information" is information about subsidies and grants that are expected to be applicable, which is identified based on the user's input information and the emotion analysis results.

[0739] "Means" refers to a method or device used by a system to achieve a particular function.

[0740] "Application process" refers to the series of actions and document submission process required to receive a grant or subsidy.

[0741] "Machine learning module" refers to a software component that uses artificial intelligence techniques to perform data analysis and pattern recognition.

[0742] This invention is a system that receives input information from a user, searches a database of public assistance programs based on that information to identify applicable assistance information, and then uses emotion analysis means to provide appropriate assistance information while reducing the user's stress and anxiety. A detailed description of specific embodiments of this system is provided below.

[0743] System configuration and functions

[0744] This system is mainly composed of a server, a terminal, and a user. We will explain the role of each and the hardware or software used.

[0745] User Roles

[0746] The user is the main user of the system and inputs basic information and current situation via a terminal. Using emotion analysis means, the system analyzes the user's emotional state from voice, facial expressions, text input, etc.

[0747] Device Role

[0748] The terminal provides an interface for users to input information and perform sentiment analysis. It also displays information received from the server to users and provides information on applicable support and details of application procedures.

[0749] Server Roles

[0750] The server acts as the central part of the system, receiving information from users and processing the data using sentiment analysis and AI modules. The server then formats the received information and searches a database of public assistance programs to identify applicable assistance information. The identified information is then formatted again and provided to the user via their device.

[0751] Emotion analysis means

[0752] Sentiment analysis is a technical means for acquiring and analyzing emotional data such as voice, facial expressions, and text, as well as user input information. Machine learning algorithms (e.g., random forests and support vector machines) are used for emotion analysis. This makes it possible to provide information according to the user's emotional state.

[0753] AI Module

[0754] The AI ​​module searches the database of public assistance programs based on user information and emotion analysis results to identify the most appropriate assistance information. By using machine learning algorithms and data analysis techniques, it can accurately identify assistance information that suits the user's situation and conditions.

[0755] Specific examples

[0756] The following are some examples of specific usage scenarios:

[0757] Example 1: When a child is born

[0758] 1. The user enters "My first child was born" into the terminal, and the emotion analysis means recognizes the feeling of happiness.

[0759] 2. The device sends this information to the server.

[0760] 3. The server receives the information and passes it to the AI ​​module.

[0761] 4. The AI ​​module identifies "child birth subsidies" and sends the results back to the server.

[0762] 5. The server sends the formatted subsidy information to the terminal and displays it to the user.

[0763] 6. The user follows the instructions to complete the detailed application process.

[0764] Example 2: If your business is affected by a natural disaster

[0765] 1. The user inputs "My workplace was damaged by an earthquake" into the terminal, and stress is recognized using emotion analysis means.

[0766] 2. The device sends this information to the server.

[0767] 3. The server receives the information and passes it to the AI ​​module.

[0768] 4. The AI ​​module identifies "subsidies for business recovery due to natural disasters" and returns the results to the server.

[0769] 5. The server sends the formatted subsidy information to the terminal and displays it to the user.

[0770] 6. The user follows the instructions to complete the detailed application process.

[0771] Prompt Sentence Examples

[0772] Examples of prompts to the generative AI model when using this system include:

[0773] "What grants are available for my first child?"

[0774] "My business was damaged in the earthquake. I would like to know about natural disaster subsidies."

[0775] With the above configuration and functions, this system allows users to easily obtain optimal support information and proceed with the application process with flexible responses according to their emotional state.

[0776] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0777] Step 1: The user enters basic information and current situation into the device.

[0778] Specifically, the user enters their name, address, contact information, and current situation (e.g., the birth of their first child, or their business has been affected) into a form on the device screen. After the user has entered all the necessary information, the emotion analysis means recognizes their emotional state from their voice, facial expressions, and text. This allows the input to be collected on the device, and basic information and the emotion analysis results are obtained.

[0779] Step 2: The device sends the input information and emotion analysis results to the server.

[0780] When the user clicks the "Send" button, the device packetizes the aggregated input information and emotion analysis results and sends them to the server using the HTTPS protocol. At this time, the input is sent by the device, and the server receives the basic information and emotion data.

[0781] Step 3: The server analyzes the received information

[0782] The server analyzes the received basic information and emotion analysis results. Specifically, the server converts the received information into JSON format and temporarily stores the data in a database. The analysis results are formatted user information and emotion data.

[0783] Step 4: The server provides the data to the AI ​​module and sentiment analysis method

[0784] The server passes the formatted data to the AI ​​module and sentiment analysis means. Specifically, the server's data processing engine distributes the data and formats it for the AI ​​module and sentiment analysis means. This means that input is provided by the server and data is ready for analysis.

[0785] Step 5: The AI ​​module searches the database to identify applicable grants

[0786] The AI ​​module uses the provided basic information and emotion data to search a database of public assistance programs. Specifically, it uses machine learning algorithms (e.g., random forests and support vector machines) to identify subsidy information appropriate for the user's situation. The output is information about applicable subsidies.

[0787] Step 6: The server formats the results from the AI ​​module

[0788] The server formats the subsidy information received from the AI ​​module and converts it into a format that can be provided to the user. Specifically, the server converts the received data into HTML or XML format, making it easy for users to understand. The formatted subsidy information is obtained as output.

[0789] Step 7: The device displays the formatted grant information to the user.

[0790] The device receives the application subsidy information from the server and displays it on the user's screen. Specifically, the device's web browser or application renders the information and presents it in a visually easy-to-understand format. This allows the user to obtain applicable subsidy information and receive detailed guidance to proceed with the application process.

[0791] Through these steps, the system enables users to efficiently obtain information on applicable subsidies and grants, and respond flexibly according to their emotional state.

[0792] (Application example 2)

[0793] 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."

[0794] Conventional systems providing information on subsidies and grants do not take into account the user's emotional state, and therefore are unable to reduce the stress and anxiety that users feel when receiving information. In addition, there are cases where appropriate subsidy proposals are not made, making it necessary to improve the user experience.

[0795] The specification process by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for receiving input information from a user, means for searching a database of public support programs based on the input information and identifying applicable subsidies, means for providing information on the identified subsidies to the user, and means for recognizing the user's emotional state and providing information to reduce stress and anxiety based on the emotion. This enables flexible subsidy proposals that take the user's emotional state into consideration, and is expected to improve the user experience.

[0796] "User input information" refers to basic information and detailed information about the current situation that a user provides to the system.

[0797] The "Public Support System Database" is a database for collecting and managing information on subsidies and grants provided by governments and public institutions.

[0798] The "means for identifying applicable subsidies" refers to a technical means for searching the database based on information provided by the user and finding out the subsidies that the user is eligible to receive.

[0799] The "means for providing subsidy information to the user" is a means for informing the user of the details of the identified subsidy and how to apply for it.

[0800] The "means for guiding the subsidy application procedure" is a means for instructing the user on the process and how to prepare the documents required to actually apply for the identified subsidy.

[0801] The "means for recognizing emotional states" is a technical means for analyzing the psychological state of the user from their voice, facial expressions, text input, etc., and providing the results to other system modules.

[0802] "Means for providing information that reduces stress and anxiety" refers to means for providing information and services that relieve mental stress based on the emotional state of the user.

[0803] The "artificial intelligence module" is a technology module that uses machine learning and data analysis techniques to identify the most suitable subsidies for users and improve the applicability of search results.

[0804] To implement the present invention, a system having the following configuration is used.

[0805] First, the device that inputs user information must have a camera and a microphone, which can capture the user's basic information and current situation information, as well as facial expressions and voice. The device also includes an interface for processing the input information and sending it to the server.

[0806] The server receives the input information sent by the user and performs the following processes.

[0807] 1. Analyze the user's input information and use an emotion engine to recognize the user's emotional state. Specifically, image processing is performed using OpenCV, and facial expressions are analyzed using DeepFace. Furthermore, audio analysis using librosa is performed to extract audio features (MFCC) and identify the user's emotional state.

[0808] 2. The server then searches a database of public assistance programs based on the basic information provided by the user and the results of the emotion engine. An artificial intelligence module is used here to identify the most suitable subsidies and grants.

[0809] 3. The identified subsidy information is retransmitted from the server to the terminal, which then informs the user of the applicable subsidy information and the application procedure.

[0810] Furthermore, based on the results of the emotion engine, information is provided that takes into account the user's emotional state. For example, if the user is feeling stressed or anxious, information about relaxation corners and services will be provided. This improves the user experience.

[0811] An example of this system includes the following steps:

[0812] 1. The user inputs "My first child was born" into the device. The device's camera recognizes the user's happiness from their facial expression and analyzes their emotions from their voice input.

[0813] 2. The server receives the information and emotion results and searches the database to identify "child birth grants."

[0814] 3. The server sends the formatted subsidy information to the terminal and displays the information in a format that is easy for the user to use.

[0815] 4. The terminal will provide detailed instructions on the subsidy application procedure, and the user will prepare the necessary documents to complete the application.

[0816] The following are examples of prompt sentences:

[0817] User: Open the smartphone app

[0818] System: Allow use of camera and microphone

[0819] User: Allow

[0820] System: Capturing emotions...

[0821] System: Your emotion is "Euphoria". Take advantage of the following special promotions:

[0822] Promotion 1: 20% off product A

[0823] Promotion 2: Free Drink Coupon

[0824] Promotion 3: Triple VIP Member Points Campaign

[0825] In this way, the entire system operates in an integrated manner, enabling flexible responses that take into account the user's emotional state.

[0826] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0827] Step 1:

[0828] The user inputs information into the device. The user inputs basic information (such as name and address) and current situation (e.g., the first child was born) on the smartphone screen. The emotion engine also uses the camera and microphone to capture the user's facial expressions and voice data. The input information is then saved on the device as text data and multimedia data.

[0829] Step 2:

[0830] The device sends the input information to the server. The device converts the user's input text data and the captured facial expression and voice data into packet data and sends it to the server. The transmitted data waits for analysis on the server.

[0831] Step 3:

[0832] The server analyzes the received data. The server analyzes the received text data, facial expressions, and voice data to extract the user's basic information and emotional state. The text data is analyzed using a natural language processing (NLP) engine, and emotion analysis includes facial expression recognition using OpenCV and DeepFace and analysis of voice features (MFCC) using librosa. The analysis results in the user's basic information and emotional data in rich text format.

[0833] Step 4:

[0834] The server searches the database. Based on the analysis results, the server's artificial intelligence module searches the database of public assistance programs and identifies the subsidies and grants that are most suitable for the user. This is a process that uses a machine learning algorithm to match the user's situation with the assistance information in the database. The identified subsidy information is stored in temporary storage on the server.

[0835] Step 5:

[0836] The server formats the subsidy information and sends it to the terminal. The server formats the identified subsidy information in a format that is easy for the user to understand, and formats the data including instructions on the necessary application procedures. The formatted data is converted back into packet data and sent to the terminal.

[0837] Step 6:

[0838] The terminal provides the user with subsidy information. The terminal displays the data received from the server and provides the user with information on the most suitable subsidies and grants and specific application procedures. This allows the user to check detailed information about the subsidies and how to apply on the terminal screen.

[0839] Step 7:

[0840] Providing information according to the user's emotional state. Based on the emotion analysis results from the server, the device provides additional information and support according to the user's emotional state. For example, if the user is feeling stressed, it displays options for relaxation techniques and mental support. Providing such information reduces the user's mental burden and provides a better user experience.

[0841] Through these steps, the system is able to propose optimal subsidies based on the user's input information and emotional state, and provide information to reduce stress and anxiety.

[0842] 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.

[0843] 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.

[0844] 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.

[0845] [Third embodiment]

[0846] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0847] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0848] 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).

[0849] 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.

[0850] 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.

[0851] 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).

[0852] 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.

[0853] 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.

[0854] 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.

[0855] 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.

[0856] 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.

[0857] 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."

[0858] Overall system configuration and functions

[0859] This invention provides a system in which AI determines the eligibility of individuals and businesses for subsidies and grants, and provides advice on application conditions and procedures. The system is primarily composed of a server, terminals, and users.

[0860] 1. User Roles

[0861] Users are the primary users of this system and provide information to apply for subsidies and grants. Users enter their basic information and current situation into a terminal and submit it. This information is used by the system to identify eligible subsidies.

[0862] 2. Role of the terminal

[0863] The terminal provides an interface for users to input information. Furthermore, the terminal receives information from the server and displays a list of subsidies available to the user and instructions on how to apply. This allows the user to smoothly apply for the subsidies.

[0864] 3. Server Roles

[0865] The server is the central part of the system, receiving information from the user and providing data to the AI ​​module. The server processes responses from the AI ​​module and formats the information to be provided to the user. The server also manages access to the database and supports the search process of the AI ​​module.

[0866] 4. Role of AI Module

[0867] The AI ​​module searches a database of public assistance programs based on user input and identifies applicable subsidies. The AI ​​module uses machine learning and data analysis techniques to identify the most suitable subsidies and help simplify the application process.

[0868] Program processing flow

[0869] 1. Enter your user information:

[0870] The user accesses the terminal and enters basic information such as name, address, and contact details, as well as their current situation (e.g., a newborn child, their business has been affected, etc.).

[0871] 2. Transmission of Information:

[0872] When the user clicks the "Submit" button, the entered information is sent to the server.

[0873] 3. Receipt and processing of information by the server:

[0874] The server receives the information received from the user, converts it into an appropriate format, and then passes it on to the AI ​​module.

[0875] 4. Database search by AI module:

[0876] The AI ​​module searches a database of public assistance programs to identify the subsidy that best suits the user's situation.

[0877] 5. Returning and formatting search results:

[0878] The AI ​​module sends the identified subsidy information back to the server, which formats it for presentation to the user.

[0879] 6. Provision of Information:

[0880] The formatted subsidy information is sent to the terminal and displayed on the user's screen. The user then proceeds with the application process based on the provided information.

[0881] Specific examples

[0882] Example 1: When a child is born

[0883] 1. The user types "My first child was born" into the terminal.

[0884] 2. The server receives the user information and passes it to the AI ​​module.

[0885] 3. The AI ​​module identifies "child birth subsidies" from the database.

[0886] 4. The server sends the formatted subsidy information to the terminal.

[0887] 5. The terminal displays the information to the user and guides them through the application process.

[0888] 6. The user prepares the necessary documents and follows the instructions to complete the application process.

[0889] Example 2: If your business is affected by a natural disaster

[0890] 1. The user types "My business was damaged by an earthquake" into the terminal.

[0891] 2. The server passes the information to the AI ​​module.

[0892] 3. The AI ​​module identifies "subsidies for business recovery due to natural disasters."

[0893] 4. The server sends the formatted information to the terminal.

[0894] 5. The terminal displays the information to the user and guides them through the application process.

[0895] 6. The user prepares the necessary documents and completes the application process.

[0896] This system allows users to easily obtain information on subsidies and grants and to easily apply for them. In particular, the use of an AI module enables highly accurate information to be provided, greatly improving user convenience.

[0897] The processing flow will be explained below.

[0898] Step 1:

[0899] The user accesses the terminal and inputs their name, address, contact information, and current situation (for example, "My first child was born" or "My business was damaged in the earthquake").

[0900] Step 2:

[0901] The user confirms the input information and clicks the "Send" button, which sends the information from the terminal to the server.

[0902] Step 3:

[0903] The server receives the user's input information sent from the terminal and analyzes the information.

[0904] Step 4:

[0905] The server converts the received user information into an appropriate format and formats it for provision to the AI ​​module.

[0906] Step 5:

[0907] The server passes the formatted user information to the AI ​​module, which starts the data analysis and search process.

[0908] Step 6:

[0909] The AI ​​module accesses a database of public assistance programs and performs a search to identify the subsidy that best suits the user's situation.

[0910] Step 7:

[0911] The AI ​​module generates a list of the most suitable grants and subsidies from the search results and extracts detailed information about the identified grants (e.g., eligibility requirements, application procedures, required documents).

[0912] Step 8:

[0913] The AI ​​module sends the generated subsidy information back to the server, which receives the information.

[0914] Step 9:

[0915] The server formats the received subsidy information into an easy-to-understand format for presentation to the user.

[0916] Step 10:

[0917] The server transmits the formatted subsidy information to the terminal, making it accessible to the user.

[0918] Step 11:

[0919] The terminal displays the subsidy information received from the server to the user. The displayed content includes a list of the most suitable subsidies, an overview of each subsidy, application conditions, application procedures, required documents, etc.

[0920] Step 12:

[0921] The user checks the subsidy information provided on the terminal and selects the desired subsidy.

[0922] Step 13:

[0923] The user clicks the "Start Application" button to proceed with the application process for the selected grant.

[0924] Step 14:

[0925] The device will then guide the user step-by-step through the detailed application process for the selected grant, providing the user with a list of required documents, how to submit them, and a link to download the application form.

[0926] Step 15:

[0927] The user follows the instructions on the terminal to prepare the necessary documents and fill out the application form. The user then submits the documents online or offline to complete the application process.

[0928] Step 16:

[0929] The server tracks the progress of the user's application and notifies the user via the terminal of the grant results and additional information as needed.

[0930] By implementing the system in accordance with these steps, users can quickly and efficiently obtain information on grants and subsidies and complete the application process.

[0931] Example 1

[0932] 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."

[0933] The traditional application process for subsidies and grants is time-consuming and laborious, as users must search for applicable subsidies and go through complex procedures themselves. There's also the risk of overlooking applicable subsidies, which creates issues with user convenience and the success rate of applications. In response, there's a need for a system that allows users to easily and quickly identify applicable subsidies and smoothly advance the application process.

[0934] 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.

[0935] In this invention, the server includes means for receiving input information from a user, means for searching a database of public support programs based on the input information and identifying applicable subsidies, means for formatting information on the identified subsidies to provide to the user, and means for guiding the application procedures for the subsidies, thereby enabling the user to efficiently find applicable subsidies and smoothly proceed with the application procedures.

[0936] "User" means an individual or business that utilizes the system to input information and identify and apply for eligible grants.

[0937] "Input Information" means the name, address, contact details, and specific situation information that a user provides to the system.

[0938] "Server" means a central processing unit that receives input information from a user, processes it to identify applicable subsidies, and provides formatted information to the user.

[0939] "Subsidy information" refers to information regarding financial support and grants related to public support systems.

[0940] "Application Procedure" refers to the process for preparing and submitting documents necessary for a User to receive applicable subsidies.

[0941] The "artificial intelligence module" is a software component that uses machine learning algorithms and data analysis techniques to search a database of public assistance programs based on user input and identify applicable subsidies.

[0942] A "terminal" is a device (e.g., a PC or smartphone) through which a user inputs information and receives and displays subsidy information and application procedure details from the server.

[0943] A "database" is a collection of information that stores detailed information on public support programs related to subsidies and grants.

[0944] This invention provides a system that enables individuals and businesses to smoothly apply for subsidies and grants. The system is mainly composed of a server, terminals, and users.

[0945] 1. User Roles

[0946] Users are the primary users of the system and provide information to apply for subsidies and grants. Users enter their basic information (name, address, contact information) and specific circumstances (e.g., the birth of a child, a business damaged by a disaster, etc.) into a terminal. Based on the information provided, users check the applicability of subsidies and proceed with the application process.

[0947] 2. Role of the terminal

[0948] The terminal provides an interface for users to input information. The terminal also receives information from the server and displays a list of applicable subsidies and instructions on how to apply for them. The terminal can be a PC or a smartphone. The terminal uses a web browser to display a form for users to enter information, and when the user clicks the submit button, the entered information is sent to the server.

[0949] 3. Server Roles

[0950] The server is the central part of the system, receiving input information from the user, converting it into an appropriate format, and then passing it on to the artificial intelligence module. Servers are generally built using cloud infrastructure such as AWS (Amazon Web Services). The server efficiently processes data using a distributed streaming platform such as Apache Kafka. The server receives responses from the AI ​​module and formats the information to be provided to the user. The server also manages access to the database and supports the search process of the AI ​​module.

[0951] 4. Role of AI Module

[0952] The AI ​​module searches a database of public assistance programs based on the user's input information and identifies applicable subsidies. The AI ​​module is built using machine learning frameworks such as TensorFlow and PyTorch. It also uses natural language processing (NLP) technology to analyze the user's input information. The AI ​​module searches the database (SQL or NoSQL) for the most suitable subsidies and returns the search results to the server.

[0953] Specific examples

[0954] Example 1: When a child is born

[0955] 1. The user types "My first child was born" into the terminal and clicks the send button.

[0956] 2. The server receives this information, converts it into JSON format, and sends it to the AI ​​module.

[0957] 3. The AI ​​module searches the database for "child birth subsidies" and returns the results to the server.

[0958] 4. The server sends the formatted subsidy information to the terminal.

[0959] 5. The device displays information to the user and provides details on the application procedure for the "Childbirth Subsidy." The user then proceeds with the application process based on the displayed information.

[0960] Example prompt sentence:

[0961] "My first child has been born. Please tell me what kind of subsidies I can apply for."

[0962] Example 2: When a business is affected by a natural disaster

[0963] 1. The user types "Our business was damaged by the earthquake" into the terminal and clicks the send button.

[0964] 2. The server receives this information, converts it into JSON format, and sends it to the AI ​​module.

[0965] 3. The AI ​​module searches the database for "subsidies for business recovery due to natural disasters" and returns the results to the server.

[0966] 4. The server sends the formatted subsidy information to the terminal.

[0967] 5. The device displays information to the user and provides details on the application procedure for the "Subsidy for Business Recovery Due to Natural Disasters." The user proceeds with the application procedure based on the displayed information.

[0968] Example prompt sentence:

[0969] "My business was damaged in the earthquake. Please tell me what subsidies are available."

[0970] This system allows users to easily obtain information on subsidies and grants and to easily apply for them. In particular, the use of an AI module enables highly accurate information provision, greatly improving user convenience.

[0971] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0972] Step 1:

[0973] The user accesses the terminal and inputs their name, address, contact details, and specific circumstances (e.g., "My first child was born"). The user enters the input data (name, address, contact details, specific circumstances) into the form and clicks the submit button. All input data is collected and temporarily stored in the terminal.

[0974] Step 2:

[0975] The terminal collects user input information and creates an HTTP POST request. It converts the collected input data into JSON format and sends it to a specific endpoint on the server. Specifically, it sends the data to the URL https: / / example.com / api / submit. The terminal converts the input data into JSON format, creates an HTTP POST request, and sends it to the server.

[0976] Step 3:

[0977] The server receives HTTP requests sent from the device. It parses the received data into JSON format to convert it into the appropriate format. It then stores this data in a database and prepares it for passing to the AI ​​module. Specifically, the server processes the request data using a framework such as Node.js or Python. It receives input data (in JSON format), stores it in a database, and formats it for the AI ​​module.

[0978] Step 4:

[0979] The AI ​​module begins analysis based on the data received from the server. It analyzes the received JSON data and identifies subsidies related to the user's input information. Specifically, the AI ​​module is built using TensorFlow and PyTorch, and uses natural language processing (NLP) techniques to search the database for the most suitable subsidies based on the input information. It analyzes the received data, performs a database search, and identifies the most suitable subsidy information.

[0980] Step 5:

[0981] The AI ​​module generates search results and sends them back to the server. The generated results are sent to the server in JSON format. The server receives the received search results and formats them to be presented to the user. Specifically, it converts the search result data into a user-friendly format (such as HTML) using a template engine (e.g., Handlebars.js or EJS). It receives the search result data and converts and formats it into a user-friendly format.

[0982] Step 6:

[0983] The server sends the formatted subsidy information to the terminal. The formatted data is returned to the terminal as an HTTP response. The terminal dynamically updates the user screen based on the received data, displaying the subsidy information and details of the application procedure. Specifically, the terminal's browser uses HTML and JavaScript to update the screen display and provide information to the user. The formatted subsidy information is displayed on the user screen, and details of the application procedure are provided.

[0984] Step 7:

[0985] The user checks the subsidy information and application procedure details displayed on the terminal and proceeds with the application procedure by following the instructions.Specific actions include preparing the necessary documents and submitting the application according to the specified procedures.The subsidy application procedure is carried out based on the information provided.

[0986] (Application example 1)

[0987] 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."

[0988] In recent years, advances in automation technology in factories have created a need for efficient acquisition of subsidies and grants as a means of fundraising. However, identifying applicable subsidies from the vast amount of subsidy information and applying for them is a time-consuming and laborious task. Furthermore, there is a lack of technology to identify applicable subsidies in real time using factory operation status and production data. As a result, particularly in small and medium-sized factories, subsidy application procedures are often not carried out properly, resulting in missed opportunities for potential support. The purpose of this invention is to provide a system that automates the collection of subsidy information and applicability determination in factories, thereby facilitating the application process.

[0989] 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.

[0990] In this invention, the server includes a means for receiving input information from a user, a means for searching a database of public support programs based on the input information to identify applicable subsidies, and a means for providing information on the identified subsidies to the user. This allows users to efficiently obtain subsidy information and simplify application procedures. The server also includes a means for collecting data from factory equipment, analyzing the data, and identifying applicable subsidies, and a means for providing the collected subsidy information to the factory manager to proceed with the application process. This enables subsidy application procedures that reflect the current factory situation in real time, significantly reducing the effort and time required for subsidy applications.

[0991] "User information" refers to basic information about individuals and businesses and detailed information about their current situation that is entered into the system.

[0992] The "Public Support System Database" is a database that stores information on subsidies and grants provided by the government and local governments.

[0993] The "AI module" is a software module that uses machine learning and data analysis technology to identify the most appropriate subsidy based on input information and help simplify the application process.

[0994] "Data from factory equipment" refers to data such as production levels, machine operation status, and accident reports obtained from sensors and equipment within the factory.

[0995] "Factory manager" refers to the person or position in charge of operating and managing a factory, and is the primary recipient of subsidy information and application procedures.

[0996] "Applicable subsidy information" is detailed information on applicable subsidies and grants that are identified based on user information and data from factory equipment.

[0997] "Application process" means the series of processes, including the submission of documents and procedures, required to obtain an identified subsidy or grant.

[0998] "Real-time" refers to a form of processing and evaluation that immediately reflects the current situation.

[0999] Overall system configuration and functions

[1000] The system consists of a user, a terminal, a server, and an AI module. The system identifies applicable subsidies based on the information provided by the user and supports the application process.

[1001] 1. User Roles

[1002] Users are the main users of the system and provide information to apply for subsidies and grants. Users enter their basic information and current situation into their terminal and submit it. This information is sent to the server and becomes the basis for analysis by the AI ​​module.

[1003] 2. Role of the terminal

[1004] The terminal provides an interface for users to input information. Furthermore, the terminal receives information from the server and displays a list of subsidies available to the user and instructions on how to apply. This allows the user to smoothly proceed with the subsidy application process.

[1005] 3. Server Roles

[1006] The server is the central part of the system, receiving information from the user, converting it into an appropriate format, and providing it to the AI ​​module. The server processes the responses from the AI ​​module and formats the information to provide to the user. The server also manages access to the database and supports the AI ​​module's search process.

[1007] 4. Role of AI Module

[1008] The AI ​​module uses machine learning and data analysis techniques to search a database of public assistance programs based on user input and identify the most suitable subsidies, making it possible to identify subsidies that are tailored to the user's circumstances.

[1009] 5. Collecting data from factory equipment

[1010] Factory equipment collects data from sensors and other devices, which is sent to a server where an AI module analyzes it to determine subsidy eligibility.

[1011] Program processing flow

[1012] 1. Enter your user information:

[1013] The user accesses the terminal and enters basic information such as name, address, contact details, and current status (e.g., production level, machine operation status, etc.).

[1014] 2. Transmission of Information:

[1015] When the user clicks the "Submit" button, the entered information is sent to the server.

[1016] 3. Receipt and processing of information by the server:

[1017] The server receives information from users, converts it into an appropriate format, and then passes it to the AI ​​module. It also collects data from factory equipment and passes it to the AI ​​module.

[1018] 4. Database search by AI module:

[1019] The AI ​​module searches a database of public assistance programs to identify the subsidy that best suits the user's situation.

[1020] 5. Returning and formatting search results:

[1021] The AI ​​module sends the identified subsidy information back to the server, which formats it for presentation to the user.

[1022] 6. Information and application procedures:

[1023] The formatted subsidy information is sent to the terminal and displayed on the user's screen. The user then proceeds with the application process based on the provided information.

[1024] Specific examples

[1025] Example 1: Application of subsidies for energy efficiency improvements

[1026] 1. Sensors in the factory collect energy consumption data.

[1027] 2. The robot sends the collected data to the server.

[1028] 3. The server passes the data to the AI ​​module, which identifies "subsidies for improving energy efficiency."

[1029] 4. The server sends the formatted information to the terminal and displays it to the user (factory manager).

[1030] 5. The user proceeds.

[1031] Example 2: Application of subsidies for strengthening safety measures

[1032] 1. Sensors collect safety-related data such as "abnormal high temperature."

[1033] 2. The data is sent to the server, and the AI ​​module identifies "subsidies for strengthening safety measures."

[1034] 3. The server sends the information to the terminal and displays it to the user (factory manager).

[1035] 4. The user proceeds with the application process.

[1036] Example prompts for generative AI models

[1037] Write code for an application that collects energy consumption data from a factory and identifies subsidies for improving energy efficiency. A factory robot sends this data to a server, which receives information about available subsidies and processes them for application.

[1038] In this way, a concrete implementation method for factory robots to streamline subsidy applications is provided.

[1039] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1040] Step 1:

[1041] The user enters basic information and current status into the terminal. The entered information includes detailed information such as production levels and machine operation status. The input data is often in a format such as JSON or XML.

[1042] Step 2:

[1043] When the user clicks the "Submit" button, the device sends the input information to the server using an HTTP POST request, which connects to a database and receives the input information.

[1044] Step 3:

[1045] The server analyzes the received user information and converts it into an appropriate format (e.g., a database entry). This process involves data shaping and formatting.

[1046] Step 4:

[1047] The server then passes the converted data to an AI module that searches a database of public assistance programs, which uses machine learning algorithms to identify applicable subsidies based on the input information.

[1048] Step 5:

[1049] The AI ​​module returns the identified subsidy information to the server, which then formats the information and converts it into a user-friendly format, for example, creating a list of applicable subsidies for each account.

[1050] Step 6:

[1051] The formatted subsidy information is sent to the terminal, where the user can check it on the screen. The terminal then displays the details of the subsidy and instructions on how to apply.

[1052] Step 7:

[1053] Sensor information from factory equipment is periodically sent to a server, including the equipment's operating status and energy consumption data. The data is usually sent as a JSON file, which serves as a sensor data log.

[1054] Step 8:

[1055] The server also passes data collected from factory equipment to the AI ​​module, which analyzes it along with user information to identify the applicability of additional subsidies.

[1056] Step 9:

[1057] Based on the data analyzed by the AI ​​module, the server provides the factory manager with the most appropriate subsidy information. The server then generates a list of documents and procedures required for application procedures and displays it on the terminal.

[1058] Step 10:

[1059] The user (factory manager) applies for the subsidy through a terminal, prepares the necessary documents, and completes the application by following the system's instructions.

[1060] 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.

[1061] Overall system configuration and functions

[1062] This invention incorporates an AI system that determines whether individuals and businesses are eligible for subsidies and grants, and advises on application conditions and procedures. It also incorporates an emotion engine that recognizes the user's emotions. This system improves the user experience by reducing stress and anxiety and making more appropriate subsidy proposals. The system mainly consists of a server, terminals, users, and the emotion engine.

[1063] 1. User Roles

[1064] Users are the main users of this system and provide information when applying for subsidies or grants using the emotion engine. Users input their basic information and current situation into the terminal, and the emotion engine recognizes the user's emotions.

[1065] 2. Role of the terminal

[1066] The terminal provides an interface for users to input information and recognize emotions. Furthermore, the terminal receives information from the server and displays a list of subsidies available to the user and instructions on how to apply. Based on the results of the emotion engine, the terminal provides information to reduce the user's stress and anxiety.

[1067] 3. Server Roles

[1068] The server is the central part of the system, receiving information from the user and providing data to the AI ​​module and emotion engine. The server processes responses from the AI ​​module and results from the emotion engine, and formats the information to be provided to the user. The server also manages access to the database and supports the search process of the AI ​​module and emotion engine.

[1069] 4. Role of AI Module

[1070] The AI ​​module searches a database of public assistance programs based on user input and the results of the emotion engine to identify applicable subsidies. The AI ​​module uses machine learning and data analysis techniques to identify the most suitable subsidies and help simplify the application process.

[1071] 5. The Role of the Emotional Engine

[1072] The emotion engine analyzes the user's emotional state from their voice, facial expressions, text input, etc., and provides the results to the AI ​​module and server. Based on the analysis results of the emotion engine, the accuracy of identifying subsidies and the applicability of search results are improved.

[1073] Program processing flow

[1074] 1. Enter your user information:

[1075] The user accesses the device and inputs basic information such as name, address, and contact details, as well as their current situation (e.g., a newborn child, a business damaged, etc.). In addition, the emotion engine recognizes the user's emotional state from their voice, facial expressions, and text input.

[1076] 2. Transmission of Information:

[1077] When the user clicks the "Send" button, the entered information and the analysis results of the emotion engine are sent from the device to the server.

[1078] 3. Receipt and processing of information by the server:

[1079] The server receives the user's input information sent from the terminal and the analysis results of the emotion engine, and analyzes the information.

[1080] 4. Server-based data formatting:

[1081] The server converts the received user information and emotion results into an appropriate format and formats them to be provided to the AI ​​module and emotion engine.

[1082] 5. Database search by AI module:

[1083] The AI ​​module searches a database of public assistance programs to identify the subsidy that best suits the user's situation and feelings.

[1084] 6. Returning and formatting search results:

[1085] The AI ​​module sends the identified subsidy information back to the server, which receives the information.

[1086] 7. Provision of Information:

[1087] The formatted subsidy information is sent to the terminal and displayed on the user's screen. The user then proceeds with the application process based on the provided information.

[1088] Specific examples

[1089] Example 1: When a child is born

[1090] 1. The user types "My first child was born" into the device, and the emotion engine recognizes the emotion (e.g., overwhelmed with happiness).

[1091] 2. The server receives the user information and emotion results and passes them to the AI ​​module.

[1092] 3. The AI ​​module identifies "child birth subsidies" from the database and sends them back to the server.

[1093] 4. The server sends the formatted subsidy information to the terminal and provides information that is easy for the user to use based on the emotion results.

[1094] 5. The terminal displays the information to the user and guides them through the application process.

[1095] 6. The user prepares the necessary documents and follows the instructions to complete the application process.

[1096] Example 2: If your business is affected by a natural disaster

[1097] 1. The user enters "My business was damaged by an earthquake" into the device, and the emotion engine recognizes the emotion (e.g., stress or anxiety).

[1098] 2. The server passes the information and emotion results to the AI ​​module.

[1099] 3. The AI ​​module identifies "subsidies for business recovery due to natural disasters" and returns the results to the server.

[1100] 4. The server sends the formatted information to the terminal and provides information to reduce the user's anxiety based on the emotional results.

[1101] 5. The terminal displays the information to the user and guides them through the application process.

[1102] 6. The user prepares the necessary documents and completes the application process.

[1103] This system allows users to easily obtain information about subsidies and grants and to easily apply for them. In particular, the use of an emotion engine enables flexible responses according to the user's emotional state, which is expected to greatly improve the user experience.

[1104] The processing flow will be explained below.

[1105] Step 1:

[1106] The user accesses the terminal and inputs their name, address, contact information, and current situation (for example, "My first child was born" or "My business was damaged in the earthquake").

[1107] Step 2:

[1108] The user provides additional input to the device using voice and facial expressions to express their emotions, and the emotion engine analyzes this input to determine the user's emotional state (e.g., happiness, stress, anxiety, etc.).

[1109] Step 3:

[1110] The user confirms the input information and emotion information and clicks the "Send" button, which sends the information from the terminal to the server.

[1111] Step 4:

[1112] The server receives the user's basic information sent from the terminal and the emotion engine's analysis results, and analyzes the information.

[1113] Step 5:

[1114] The server converts the received user information and emotional information into an appropriate format and formats it to be provided to the AI ​​module.

[1115] Step 6:

[1116] The server passes the formatted user information and emotion information to the AI ​​module to start the data analysis and search process.

[1117] Step 7:

[1118] The AI ​​module accesses a database of public assistance programs and performs a search to identify the grant that best suits the user's situation and emotional state.

[1119] Step 8:

[1120] The AI ​​module generates a list of the most suitable grants and subsidies from the search results and extracts detailed information about the identified grants (e.g., eligibility requirements, application procedures, required documents).

[1121] Step 9:

[1122] The AI ​​module sends the generated subsidy information back to the server, which receives the information.

[1123] Step 10:

[1124] The server then formats the received subsidy information into an easy-to-understand format for the user, taking into account emotional information so that the user can use the service without feeling stressed.

[1125] Step 11:

[1126] The server transmits the formatted subsidy information to the terminal, making it accessible to the user.

[1127] Step 12:

[1128] The terminal displays the subsidy information received from the server to the user. The displayed content includes a list of the most suitable subsidies, an overview of each subsidy, application conditions, application procedures, required documents, etc.

[1129] Step 13:

[1130] The user checks the subsidy information provided on the terminal and selects the desired subsidy.

[1131] Step 14:

[1132] The user clicks the "Start Application" button to proceed with the application process for the selected grant.

[1133] Step 15:

[1134] The device will then guide the user step-by-step through the detailed application process for the selected grant, providing the user with a list of required documents, how to submit them, and a link to download the application form.

[1135] Step 16:

[1136] The user follows the instructions on the terminal to prepare the necessary documents and fill out the application form. The user then submits the documents online or offline to complete the application process.

[1137] Step 17:

[1138] The server tracks the progress of the user's application and notifies the user via the terminal of the grant results and additional information as needed.

[1139] Through this detailed process, users can quickly and efficiently obtain information on subsidies and grants, and smoothly proceed with the appropriate application procedures.In addition, the introduction of an emotion engine enables flexible responses based on the user's emotional state, which is expected to improve the user experience.

[1140] Example 2

[1141] 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."

[1142] Conventional subsidy and grant application systems have the problem that it takes a great deal of effort for users to find appropriate support information that suits their situation. In addition, because information is provided without taking into consideration the user's emotional state, users may go through the process feeling stressed or anxious. This leads to a poor user experience and an inability to receive effective support, which is an issue.

[1143] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for receiving input information from a user, emotion analysis means for analyzing the input information and the user's emotional state, means for searching a database of public assistance programs based on the analysis results and the input information and identifying applicable support information, means for providing the user with the identified support information, and means for guiding the application procedure for the support information. This enables the user to easily obtain appropriate support information according to their own situation and emotional state in a short amount of time, and to proceed with the application procedure while reducing stress and anxiety.

[1144] "User" refers to any individual or legal entity that uses the System.

[1145] "Input Information" refers to basic and contextual information that a user provides to the system.

[1146] "Emotion analysis means" refers to a technical means for analyzing a user's emotional state and obtaining the results.

[1147] "Public assistance systems" refer to assistance programs such as subsidies and grants provided by governments and public institutions.

[1148] A "database" is a collection of data that stores information related to public assistance programs.

[1149] "Applicable support information" is information about subsidies and grants that are expected to be applicable, which is identified based on the user's input information and the emotion analysis results.

[1150] "Means" refers to a method or device used by a system to achieve a particular function.

[1151] "Application process" refers to the series of actions and document submission process required to receive a grant or subsidy.

[1152] "Machine learning module" refers to a software component that uses artificial intelligence techniques to perform data analysis and pattern recognition.

[1153] This invention is a system that receives input information from a user, searches a database of public assistance programs based on that information to identify applicable assistance information, and then uses emotion analysis means to provide appropriate assistance information while reducing the user's stress and anxiety. A detailed description of specific embodiments of this system is provided below.

[1154] System configuration and functions

[1155] This system is mainly composed of a server, a terminal, and a user. We will explain the role of each and the hardware or software used.

[1156] User Roles

[1157] The user is the main user of the system and inputs basic information and current situation via a terminal. Using emotion analysis means, the system analyzes the user's emotional state from voice, facial expressions, text input, etc.

[1158] Device Role

[1159] The terminal provides an interface for users to input information and perform sentiment analysis. It also displays information received from the server to users and provides information on applicable support and details of application procedures.

[1160] Server Roles

[1161] The server acts as the central part of the system, receiving information from users and processing the data using sentiment analysis and AI modules. The server then formats the received information and searches a database of public assistance programs to identify applicable assistance information. The identified information is then formatted again and provided to the user via their device.

[1162] Emotion analysis means

[1163] Sentiment analysis is a technical means for acquiring and analyzing emotional data such as voice, facial expressions, and text, as well as user input information. Machine learning algorithms (e.g., random forests and support vector machines) are used for emotion analysis. This makes it possible to provide information according to the user's emotional state.

[1164] AI Module

[1165] The AI ​​module searches the database of public assistance programs based on user information and emotion analysis results to identify the most appropriate assistance information. By using machine learning algorithms and data analysis techniques, it can accurately identify assistance information that suits the user's situation and conditions.

[1166] Specific examples

[1167] The following are some examples of specific usage scenarios:

[1168] Example 1: When a child is born

[1169] 1. The user enters "My first child was born" into the terminal, and the emotion analysis means recognizes the feeling of happiness.

[1170] 2. The device sends this information to the server.

[1171] 3. The server receives the information and passes it to the AI ​​module.

[1172] 4. The AI ​​module identifies "child birth subsidies" and sends the results back to the server.

[1173] 5. The server sends the formatted subsidy information to the terminal and displays it to the user.

[1174] 6. The user follows the instructions to complete the detailed application process.

[1175] Example 2: If your business is affected by a natural disaster

[1176] 1. The user inputs "My workplace was damaged by an earthquake" into the terminal, and stress is recognized using emotion analysis means.

[1177] 2. The device sends this information to the server.

[1178] 3. The server receives the information and passes it to the AI ​​module.

[1179] 4. The AI ​​module identifies "subsidies for business recovery due to natural disasters" and returns the results to the server.

[1180] 5. The server sends the formatted subsidy information to the terminal and displays it to the user.

[1181] 6. The user follows the instructions to complete the detailed application process.

[1182] Prompt Sentence Examples

[1183] Examples of prompts to the generative AI model when using this system include:

[1184] "What grants are available for my first child?"

[1185] "My business was damaged in the earthquake. I would like to know about natural disaster subsidies."

[1186] With the above configuration and functions, this system allows users to easily obtain optimal support information and proceed with the application process with flexible responses according to their emotional state.

[1187] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1188] Step 1: The user enters basic information and current situation into the device.

[1189] Specifically, the user enters their name, address, contact information, and current situation (e.g., the birth of their first child, or their business has been affected) into a form on the device screen. After the user has entered all the necessary information, the emotion analysis means recognizes their emotional state from their voice, facial expressions, and text. This allows the input to be collected on the device, and basic information and the emotion analysis results are obtained.

[1190] Step 2: The device sends the input information and emotion analysis results to the server.

[1191] When the user clicks the "Send" button, the device packetizes the aggregated input information and emotion analysis results and sends them to the server using the HTTPS protocol. At this time, the input is sent by the device, and the server receives the basic information and emotion data.

[1192] Step 3: The server analyzes the received information

[1193] The server analyzes the received basic information and emotion analysis results. Specifically, the server converts the received information into JSON format and temporarily stores the data in a database. The analysis results are formatted user information and emotion data.

[1194] Step 4: The server provides the data to the AI ​​module and sentiment analysis method

[1195] The server passes the formatted data to the AI ​​module and sentiment analysis means. Specifically, the server's data processing engine distributes the data and formats it for the AI ​​module and sentiment analysis means. This means that input is provided by the server and data is ready for analysis.

[1196] Step 5: The AI ​​module searches the database to identify applicable grants

[1197] The AI ​​module uses the provided basic information and emotion data to search a database of public assistance programs. Specifically, it uses machine learning algorithms (e.g., random forests and support vector machines) to identify subsidy information appropriate for the user's situation. The output is information about applicable subsidies.

[1198] Step 6: The server formats the results from the AI ​​module

[1199] The server formats the subsidy information received from the AI ​​module and converts it into a format that can be provided to the user. Specifically, the server converts the received data into HTML or XML format, making it easy for users to understand. The formatted subsidy information is obtained as output.

[1200] Step 7: The device displays the formatted grant information to the user.

[1201] The device receives the application subsidy information from the server and displays it on the user's screen. Specifically, the device's web browser or application renders the information and presents it in a visually easy-to-understand format. This allows the user to obtain applicable subsidy information and receive detailed guidance to proceed with the application process.

[1202] Through these steps, the system enables users to efficiently obtain information on applicable subsidies and grants, and respond flexibly according to their emotional state.

[1203] (Application example 2)

[1204] 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."

[1205] Conventional systems providing information on subsidies and grants do not take into account the user's emotional state, and therefore are unable to reduce the stress and anxiety that users feel when receiving information. In addition, there are cases where appropriate subsidy proposals are not made, making it necessary to improve the user experience.

[1206] The specification process by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for receiving input information from a user, means for searching a database of public support programs based on the input information and identifying applicable subsidies, means for providing information on the identified subsidies to the user, and means for recognizing the user's emotional state and providing information to reduce stress and anxiety based on the emotion. This enables flexible subsidy proposals that take the user's emotional state into consideration, and is expected to improve the user experience.

[1207] "User input information" refers to basic information and detailed information about the current situation that a user provides to the system.

[1208] The "Public Support System Database" is a database for collecting and managing information on subsidies and grants provided by governments and public institutions.

[1209] The "means for identifying applicable subsidies" refers to a technical means for searching the database based on information provided by the user and finding out the subsidies that the user is eligible to receive.

[1210] The "means for providing subsidy information to the user" is a means for informing the user of the details of the identified subsidy and how to apply for it.

[1211] The "means for guiding the subsidy application procedure" is a means for instructing the user on the process and how to prepare the documents required to actually apply for the identified subsidy.

[1212] The "means for recognizing emotional states" is a technical means for analyzing the psychological state of the user from their voice, facial expressions, text input, etc., and providing the results to other system modules.

[1213] "Means for providing information that reduces stress and anxiety" refers to means for providing information and services that relieve mental stress based on the emotional state of the user.

[1214] The "artificial intelligence module" is a technology module that uses machine learning and data analysis techniques to identify the most suitable subsidies for users and improve the applicability of search results.

[1215] To implement the present invention, a system having the following configuration is used.

[1216] First, the device that inputs user information must have a camera and a microphone, which can capture the user's basic information and current situation information, as well as facial expressions and voice. The device also includes an interface for processing the input information and sending it to the server.

[1217] The server receives the input information sent by the user and performs the following processes.

[1218] 1. Analyze the user's input information and use an emotion engine to recognize the user's emotional state. Specifically, image processing is performed using OpenCV, and facial expressions are analyzed using DeepFace. Furthermore, audio analysis using librosa is performed to extract audio features (MFCC) and identify the user's emotional state.

[1219] 2. The server then searches a database of public assistance programs based on the basic information provided by the user and the results of the emotion engine. An artificial intelligence module is used here to identify the most suitable subsidies and grants.

[1220] 3. The identified subsidy information is retransmitted from the server to the terminal, which then informs the user of the applicable subsidy information and the application procedure.

[1221] Furthermore, based on the results of the emotion engine, information is provided that takes into account the user's emotional state. For example, if the user is feeling stressed or anxious, information about relaxation corners and services will be provided. This improves the user experience.

[1222] An example of this system includes the following steps:

[1223] 1. The user inputs "My first child was born" into the device. The device's camera recognizes the user's happiness from their facial expression and analyzes their emotions from their voice input.

[1224] 2. The server receives the information and emotion results and searches the database to identify "child birth grants."

[1225] 3. The server sends the formatted subsidy information to the terminal and displays the information in a format that is easy for the user to use.

[1226] 4. The terminal will provide detailed instructions on the subsidy application procedure, and the user will prepare the necessary documents to complete the application.

[1227] The following are examples of prompt sentences:

[1228] User: Open the smartphone app

[1229] System: Allow use of camera and microphone

[1230] User: Allow

[1231] System: Capturing emotions...

[1232] System: Your emotion is "Euphoria". Take advantage of the following special promotions:

[1233] Promotion 1: 20% off product A

[1234] Promotion 2: Free Drink Coupon

[1235] Promotion 3: Triple VIP Member Points Campaign

[1236] In this way, the entire system operates in an integrated manner, enabling flexible responses that take into account the user's emotional state.

[1237] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1238] Step 1:

[1239] The user inputs information into the device. The user inputs basic information (such as name and address) and current situation (e.g., the first child was born) on the smartphone screen. The emotion engine also uses the camera and microphone to capture the user's facial expressions and voice data. The input information is then saved on the device as text data and multimedia data.

[1240] Step 2:

[1241] The device sends the input information to the server. The device converts the user's input text data and the captured facial expression and voice data into packet data and sends it to the server. The transmitted data waits for analysis on the server.

[1242] Step 3:

[1243] The server analyzes the received data. The server analyzes the received text data, facial expressions, and voice data to extract the user's basic information and emotional state. The text data is analyzed using a natural language processing (NLP) engine, and emotion analysis includes facial expression recognition using OpenCV and DeepFace and analysis of voice features (MFCC) using librosa. The analysis results in the user's basic information and emotional data in rich text format.

[1244] Step 4:

[1245] The server searches the database. Based on the analysis results, the server's artificial intelligence module searches the database of public assistance programs and identifies the subsidies and grants that are most suitable for the user. This is a process that uses a machine learning algorithm to match the user's situation with the assistance information in the database. The identified subsidy information is stored in temporary storage on the server.

[1246] Step 5:

[1247] The server formats the subsidy information and sends it to the terminal. The server formats the identified subsidy information in a format that is easy for the user to understand, and formats the data including instructions on the necessary application procedures. The formatted data is converted back into packet data and sent to the terminal.

[1248] Step 6:

[1249] The terminal provides the user with subsidy information. The terminal displays the data received from the server and provides the user with information on the most suitable subsidies and grants and specific application procedures. This allows the user to check detailed information about the subsidies and how to apply on the terminal screen.

[1250] Step 7:

[1251] Providing information according to the user's emotional state. Based on the emotion analysis results from the server, the device provides additional information and support according to the user's emotional state. For example, if the user is feeling stressed, it displays options for relaxation techniques and mental support. Providing such information reduces the user's mental burden and provides a better user experience.

[1252] Through these steps, the system is able to propose optimal subsidies based on the user's input information and emotional state, and provide information to reduce stress and anxiety.

[1253] 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.

[1254] 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.

[1255] 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.

[1256] [Fourth embodiment]

[1257] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1258] 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.

[1259] 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).

[1260] 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.

[1261] 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.

[1262] 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).

[1263] 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.

[1264] 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.

[1265] 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.

[1266] 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.

[1267] 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.

[1268] 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.

[1269] 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."

[1270] Overall system configuration and functions

[1271] This invention provides a system in which AI determines the eligibility of individuals and businesses for subsidies and grants, and provides advice on application conditions and procedures. The system is primarily composed of a server, terminals, and users.

[1272] 1. User Roles

[1273] Users are the primary users of this system and provide information to apply for subsidies and grants. Users enter their basic information and current situation into a terminal and submit it. This information is used by the system to identify eligible subsidies.

[1274] 2. Role of the terminal

[1275] The terminal provides an interface for users to input information. Furthermore, the terminal receives information from the server and displays a list of subsidies available to the user and instructions on how to apply. This allows the user to smoothly apply for the subsidies.

[1276] 3. Server Roles

[1277] The server is the central part of the system, receiving information from the user and providing data to the AI ​​module. The server processes responses from the AI ​​module and formats the information to be provided to the user. The server also manages access to the database and supports the search process of the AI ​​module.

[1278] 4. Role of AI Module

[1279] The AI ​​module searches a database of public assistance programs based on user input and identifies applicable subsidies. The AI ​​module uses machine learning and data analysis techniques to identify the most suitable subsidies and help simplify the application process.

[1280] Program processing flow

[1281] 1. Enter your user information:

[1282] The user accesses the terminal and enters basic information such as name, address, and contact details, as well as their current situation (e.g., a newborn child, their business has been affected, etc.).

[1283] 2. Transmission of Information:

[1284] When the user clicks the "Submit" button, the entered information is sent to the server.

[1285] 3. Receipt and processing of information by the server:

[1286] The server receives the information received from the user, converts it into an appropriate format, and then passes it on to the AI ​​module.

[1287] 4. Database search by AI module:

[1288] The AI ​​module searches a database of public assistance programs to identify the subsidy that best suits the user's situation.

[1289] 5. Returning and formatting search results:

[1290] The AI ​​module sends the identified subsidy information back to the server, which formats it for presentation to the user.

[1291] 6. Provision of Information:

[1292] The formatted subsidy information is sent to the terminal and displayed on the user's screen. The user then proceeds with the application process based on the provided information.

[1293] Specific examples

[1294] Example 1: When a child is born

[1295] 1. The user types "My first child was born" into the terminal.

[1296] 2. The server receives the user information and passes it to the AI ​​module.

[1297] 3. The AI ​​module identifies "child birth subsidies" from the database.

[1298] 4. The server sends the formatted subsidy information to the terminal.

[1299] 5. The terminal displays the information to the user and guides them through the application process.

[1300] 6. The user prepares the necessary documents and follows the instructions to complete the application process.

[1301] Example 2: If your business is affected by a natural disaster

[1302] 1. The user types "My business was damaged by an earthquake" into the terminal.

[1303] 2. The server passes the information to the AI ​​module.

[1304] 3. The AI ​​module identifies "subsidies for business recovery due to natural disasters."

[1305] 4. The server sends the formatted information to the terminal.

[1306] 5. The terminal displays the information to the user and guides them through the application process.

[1307] 6. The user prepares the necessary documents and completes the application process.

[1308] This system allows users to easily obtain information on subsidies and grants and to easily apply for them. In particular, the use of an AI module enables highly accurate information to be provided, greatly improving user convenience.

[1309] The processing flow will be explained below.

[1310] Step 1:

[1311] The user accesses the terminal and inputs their name, address, contact information, and current situation (for example, "My first child was born" or "My business was damaged in the earthquake").

[1312] Step 2:

[1313] The user confirms the input information and clicks the "Send" button, which sends the information from the terminal to the server.

[1314] Step 3:

[1315] The server receives the user's input information sent from the terminal and analyzes the information.

[1316] Step 4:

[1317] The server converts the received user information into an appropriate format and formats it for provision to the AI ​​module.

[1318] Step 5:

[1319] The server passes the formatted user information to the AI ​​module, which starts the data analysis and search process.

[1320] Step 6:

[1321] The AI ​​module accesses a database of public assistance programs and performs a search to identify the subsidy that best suits the user's situation.

[1322] Step 7:

[1323] The AI ​​module generates a list of the most suitable grants and subsidies from the search results and extracts detailed information about the identified grants (e.g., eligibility requirements, application procedures, required documents).

[1324] Step 8:

[1325] The AI ​​module sends the generated subsidy information back to the server, which receives the information.

[1326] Step 9:

[1327] The server formats the received subsidy information into an easy-to-understand format for presentation to the user.

[1328] Step 10:

[1329] The server transmits the formatted subsidy information to the terminal, making it accessible to the user.

[1330] Step 11:

[1331] The terminal displays the subsidy information received from the server to the user. The displayed content includes a list of the most suitable subsidies, an overview of each subsidy, application conditions, application procedures, required documents, etc.

[1332] Step 12:

[1333] The user checks the subsidy information provided on the terminal and selects the desired subsidy.

[1334] Step 13:

[1335] The user clicks the "Start Application" button to proceed with the application process for the selected grant.

[1336] Step 14:

[1337] The device will then guide the user step-by-step through the detailed application process for the selected grant, providing the user with a list of required documents, how to submit them, and a link to download the application form.

[1338] Step 15:

[1339] The user follows the instructions on the terminal to prepare the necessary documents and fill out the application form. The user then submits the documents online or offline to complete the application process.

[1340] Step 16:

[1341] The server tracks the progress of the user's application and notifies the user via the terminal of the grant results and additional information as needed.

[1342] By implementing the system in accordance with these steps, users can quickly and efficiently obtain information on grants and subsidies and complete the application process.

[1343] Example 1

[1344] 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."

[1345] The traditional application process for subsidies and grants is time-consuming and laborious, as users must search for applicable subsidies and go through complex procedures themselves. There's also the risk of overlooking applicable subsidies, which creates issues with user convenience and the success rate of applications. In response, there's a need for a system that allows users to easily and quickly identify applicable subsidies and smoothly advance the application process.

[1346] 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.

[1347] In this invention, the server includes means for receiving input information from a user, means for searching a database of public support programs based on the input information and identifying applicable subsidies, means for formatting information on the identified subsidies to provide to the user, and means for guiding the application procedures for the subsidies, thereby enabling the user to efficiently find applicable subsidies and smoothly proceed with the application procedures.

[1348] "User" means an individual or business that utilizes the system to input information and identify and apply for eligible grants.

[1349] "Input Information" means the name, address, contact details, and specific situation information that a user provides to the system.

[1350] "Server" means a central processing unit that receives input information from a user, processes it to identify applicable subsidies, and provides formatted information to the user.

[1351] "Subsidy information" refers to information regarding financial support and grants related to public support systems.

[1352] "Application Procedure" refers to the process for preparing and submitting documents necessary for a User to receive applicable subsidies.

[1353] The "artificial intelligence module" is a software component that uses machine learning algorithms and data analysis techniques to search a database of public assistance programs based on user input and identify applicable subsidies.

[1354] A "terminal" is a device (e.g., a PC or smartphone) through which a user inputs information and receives and displays subsidy information and application procedure details from the server.

[1355] A "database" is a collection of information that stores detailed information on public support programs related to subsidies and grants.

[1356] This invention provides a system that enables individuals and businesses to smoothly apply for subsidies and grants. The system is mainly composed of a server, terminals, and users.

[1357] 1. User Roles

[1358] Users are the primary users of the system and provide information to apply for subsidies and grants. Users enter their basic information (name, address, contact information) and specific circumstances (e.g., the birth of a child, a business damaged by a disaster, etc.) into a terminal. Based on the information provided, users check the applicability of subsidies and proceed with the application process.

[1359] 2. Role of the terminal

[1360] The terminal provides an interface for users to input information. The terminal also receives information from the server and displays a list of applicable subsidies and instructions on how to apply for them. The terminal can be a PC or a smartphone. The terminal uses a web browser to display a form for users to enter information, and when the user clicks the submit button, the entered information is sent to the server.

[1361] 3. Server Roles

[1362] The server is the central part of the system, receiving input information from the user, converting it into an appropriate format, and then passing it on to the artificial intelligence module. Servers are generally built using cloud infrastructure such as AWS (Amazon Web Services). The server efficiently processes data using a distributed streaming platform such as Apache Kafka. The server receives responses from the AI ​​module and formats the information to be provided to the user. The server also manages access to the database and supports the search process of the AI ​​module.

[1363] 4. Role of AI Module

[1364] The AI ​​module searches a database of public assistance programs based on the user's input information and identifies applicable subsidies. The AI ​​module is built using machine learning frameworks such as TensorFlow and PyTorch. It also uses natural language processing (NLP) technology to analyze the user's input information. The AI ​​module searches the database (SQL or NoSQL) for the most suitable subsidies and returns the search results to the server.

[1365] Specific examples

[1366] Example 1: When a child is born

[1367] 1. The user types "My first child was born" into the terminal and clicks the send button.

[1368] 2. The server receives this information, converts it into JSON format, and sends it to the AI ​​module.

[1369] 3. The AI ​​module searches the database for "child birth subsidies" and returns the results to the server.

[1370] 4. The server sends the formatted subsidy information to the terminal.

[1371] 5. The device displays information to the user and provides details on the application procedure for the "Childbirth Subsidy." The user then proceeds with the application process based on the displayed information.

[1372] Example prompt sentence:

[1373] "My first child has been born. Please tell me what kind of subsidies I can apply for."

[1374] Example 2: When a business is affected by a natural disaster

[1375] 1. The user types "Our business was damaged by the earthquake" into the terminal and clicks the send button.

[1376] 2. The server receives this information, converts it into JSON format, and sends it to the AI ​​module.

[1377] 3. The AI ​​module searches the database for "subsidies for business recovery due to natural disasters" and returns the results to the server.

[1378] 4. The server sends the formatted subsidy information to the terminal.

[1379] 5. The device displays information to the user and provides details on the application procedure for the "Subsidy for Business Recovery Due to Natural Disasters." The user proceeds with the application procedure based on the displayed information.

[1380] Example prompt sentence:

[1381] "My business was damaged in the earthquake. Please tell me what subsidies are available."

[1382] This system allows users to easily obtain information on subsidies and grants and to easily apply for them. In particular, the use of an AI module enables highly accurate information provision, greatly improving user convenience.

[1383] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1384] Step 1:

[1385] The user accesses the terminal and inputs their name, address, contact details, and specific circumstances (e.g., "My first child was born"). The user enters the input data (name, address, contact details, specific circumstances) into the form and clicks the submit button. All input data is collected and temporarily stored in the terminal.

[1386] Step 2:

[1387] The terminal collects user input information and creates an HTTP POST request. It converts the collected input data into JSON format and sends it to a specific endpoint on the server. Specifically, it sends the data to the URL https: / / example.com / api / submit. The terminal converts the input data into JSON format, creates an HTTP POST request, and sends it to the server.

[1388] Step 3:

[1389] The server receives HTTP requests sent from the device. It parses the received data into JSON format to convert it into the appropriate format. It then stores this data in a database and prepares it for passing to the AI ​​module. Specifically, the server processes the request data using a framework such as Node.js or Python. It receives input data (in JSON format), stores it in a database, and formats it for the AI ​​module.

[1390] Step 4:

[1391] The AI ​​module begins analysis based on the data received from the server. It analyzes the received JSON data and identifies subsidies related to the user's input information. Specifically, the AI ​​module is built using TensorFlow and PyTorch, and uses natural language processing (NLP) techniques to search the database for the most suitable subsidies based on the input information. It analyzes the received data, performs a database search, and identifies the most suitable subsidy information.

[1392] Step 5:

[1393] The AI ​​module generates search results and sends them back to the server. The generated results are sent to the server in JSON format. The server receives the received search results and formats them to be presented to the user. Specifically, it converts the search result data into a user-friendly format (such as HTML) using a template engine (e.g., Handlebars.js or EJS). It receives the search result data and converts and formats it into a user-friendly format.

[1394] Step 6:

[1395] The server sends the formatted subsidy information to the terminal. The formatted data is returned to the terminal as an HTTP response. The terminal dynamically updates the user screen based on the received data, displaying the subsidy information and details of the application procedure. Specifically, the terminal's browser uses HTML and JavaScript to update the screen display and provide information to the user. The formatted subsidy information is displayed on the user screen, and details of the application procedure are provided.

[1396] Step 7:

[1397] The user checks the subsidy information and application procedure details displayed on the terminal and proceeds with the application procedure by following the instructions.Specific actions include preparing the necessary documents and submitting the application according to the specified procedures.The subsidy application procedure is carried out based on the information provided.

[1398] (Application example 1)

[1399] 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."

[1400] In recent years, advances in automation technology in factories have created a need for efficient acquisition of subsidies and grants as a means of fundraising. However, identifying applicable subsidies from the vast amount of subsidy information and applying for them is a time-consuming and laborious task. Furthermore, there is a lack of technology to identify applicable subsidies in real time using factory operation status and production data. As a result, particularly in small and medium-sized factories, subsidy application procedures are often not carried out properly, resulting in missed opportunities for potential support. The purpose of this invention is to provide a system that automates the collection of subsidy information and applicability determination in factories, thereby facilitating the application process.

[1401] 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.

[1402] In this invention, the server includes a means for receiving input information from a user, a means for searching a database of public support programs based on the input information to identify applicable subsidies, and a means for providing information on the identified subsidies to the user. This allows users to efficiently obtain subsidy information and simplify application procedures. The server also includes a means for collecting data from factory equipment, analyzing the data, and identifying applicable subsidies, and a means for providing the collected subsidy information to the factory manager to proceed with the application process. This enables subsidy application procedures that reflect the current factory situation in real time, significantly reducing the effort and time required for subsidy applications.

[1403] "User information" refers to basic information about individuals and businesses and detailed information about their current situation that is entered into the system.

[1404] The "Public Support System Database" is a database that stores information on subsidies and grants provided by the government and local governments.

[1405] The "AI module" is a software module that uses machine learning and data analysis technology to identify the most appropriate subsidy based on input information and help simplify the application process.

[1406] "Data from factory equipment" refers to data such as production levels, machine operation status, and accident reports obtained from sensors and equipment within the factory.

[1407] "Factory manager" refers to the person or position in charge of operating and managing a factory, and is the primary recipient of subsidy information and application procedures.

[1408] "Applicable subsidy information" is detailed information on applicable subsidies and grants that are identified based on user information and data from factory equipment.

[1409] "Application process" means the series of processes, including the submission of documents and procedures, required to obtain an identified subsidy or grant.

[1410] "Real-time" refers to a form of processing and evaluation that immediately reflects the current situation.

[1411] Overall system configuration and functions

[1412] The system consists of a user, a terminal, a server, and an AI module. The system identifies applicable subsidies based on the information provided by the user and supports the application process.

[1413] 1. User Roles

[1414] Users are the main users of the system and provide information to apply for subsidies and grants. Users enter their basic information and current situation into their terminal and submit it. This information is sent to the server and becomes the basis for analysis by the AI ​​module.

[1415] 2. Role of the terminal

[1416] The terminal provides an interface for users to input information. Furthermore, the terminal receives information from the server and displays a list of subsidies available to the user and instructions on how to apply. This allows the user to smoothly proceed with the subsidy application process.

[1417] 3. Server Roles

[1418] The server is the central part of the system, receiving information from the user, converting it into an appropriate format, and providing it to the AI ​​module. The server processes the responses from the AI ​​module and formats the information to provide to the user. The server also manages access to the database and supports the AI ​​module's search process.

[1419] 4. Role of AI Module

[1420] The AI ​​module uses machine learning and data analysis techniques to search a database of public assistance programs based on user input and identify the most suitable subsidies, making it possible to identify subsidies that are tailored to the user's circumstances.

[1421] 5. Collecting data from factory equipment

[1422] Factory equipment collects data from sensors and other devices, which is sent to a server where an AI module analyzes it to determine subsidy eligibility.

[1423] Program processing flow

[1424] 1. Enter your user information:

[1425] The user accesses the terminal and enters basic information such as name, address, contact details, and current status (e.g., production level, machine operation status, etc.).

[1426] 2. Transmission of Information:

[1427] When the user clicks the "Submit" button, the entered information is sent to the server.

[1428] 3. Receipt and processing of information by the server:

[1429] The server receives information from users, converts it into an appropriate format, and then passes it to the AI ​​module. It also collects data from factory equipment and passes it to the AI ​​module.

[1430] 4. Database search by AI module:

[1431] The AI ​​module searches a database of public assistance programs to identify the subsidy that best suits the user's situation.

[1432] 5. Returning and formatting search results:

[1433] The AI ​​module sends the identified subsidy information back to the server, which formats it for presentation to the user.

[1434] 6. Information and application procedures:

[1435] The formatted subsidy information is sent to the terminal and displayed on the user's screen. The user then proceeds with the application process based on the provided information.

[1436] Specific examples

[1437] Example 1: Application of subsidies for energy efficiency improvements

[1438] 1. Sensors in the factory collect energy consumption data.

[1439] 2. The robot sends the collected data to the server.

[1440] 3. The server passes the data to the AI ​​module, which identifies "subsidies for improving energy efficiency."

[1441] 4. The server sends the formatted information to the terminal and displays it to the user (factory manager).

[1442] 5. The user proceeds.

[1443] Example 2: Application of subsidies for strengthening safety measures

[1444] 1. Sensors collect safety-related data such as "abnormal high temperature."

[1445] 2. The data is sent to the server, and the AI ​​module identifies "subsidies for strengthening safety measures."

[1446] 3. The server sends the information to the terminal and displays it to the user (factory manager).

[1447] 4. The user proceeds with the application process.

[1448] Example prompts for generative AI models

[1449] Write code for an application that collects energy consumption data from a factory and identifies subsidies for improving energy efficiency. A factory robot sends this data to a server, which receives information about available subsidies and processes them for application.

[1450] In this way, a concrete implementation method for factory robots to streamline subsidy applications is provided.

[1451] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1452] Step 1:

[1453] The user enters basic information and current status into the terminal. The entered information includes detailed information such as production levels and machine operation status. The input data is often in a format such as JSON or XML.

[1454] Step 2:

[1455] When the user clicks the "Submit" button, the device sends the input information to the server using an HTTP POST request, which connects to a database and receives the input information.

[1456] Step 3:

[1457] The server analyzes the received user information and converts it into an appropriate format (e.g., a database entry). This process involves data shaping and formatting.

[1458] Step 4:

[1459] The server then passes the converted data to an AI module that searches a database of public assistance programs, which uses machine learning algorithms to identify applicable subsidies based on the input information.

[1460] Step 5:

[1461] The AI ​​module returns the identified subsidy information to the server, which then formats the information and converts it into a user-friendly format, for example, creating a list of applicable subsidies for each account.

[1462] Step 6:

[1463] The formatted subsidy information is sent to the terminal, where the user can check it on the screen. The terminal then displays the details of the subsidy and instructions on how to apply.

[1464] Step 7:

[1465] Sensor information from factory equipment is periodically sent to a server, including the equipment's operating status and energy consumption data. The data is usually sent as a JSON file, which serves as a sensor data log.

[1466] Step 8:

[1467] The server also passes data collected from factory equipment to the AI ​​module, which analyzes it along with user information to identify the applicability of additional subsidies.

[1468] Step 9:

[1469] Based on the data analyzed by the AI ​​module, the server provides the factory manager with the most appropriate subsidy information. The server then generates a list of documents and procedures required for application procedures and displays it on the terminal.

[1470] Step 10:

[1471] The user (factory manager) applies for the subsidy through a terminal, prepares the necessary documents, and completes the application by following the system's instructions.

[1472] 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.

[1473] Overall system configuration and functions

[1474] This invention incorporates an AI system that determines whether individuals and businesses are eligible for subsidies and grants, and advises on application conditions and procedures. It also incorporates an emotion engine that recognizes the user's emotions. This system improves the user experience by reducing stress and anxiety and making more appropriate subsidy proposals. The system mainly consists of a server, terminals, users, and the emotion engine.

[1475] 1. User Roles

[1476] Users are the main users of this system and provide information when applying for subsidies or grants using the emotion engine. Users input their basic information and current situation into the terminal, and the emotion engine recognizes the user's emotions.

[1477] 2. Role of the terminal

[1478] The terminal provides an interface for users to input information and recognize emotions. Furthermore, the terminal receives information from the server and displays a list of subsidies available to the user and instructions on how to apply. Based on the results of the emotion engine, the terminal provides information to reduce the user's stress and anxiety.

[1479] 3. Server Roles

[1480] The server is the central part of the system, receiving information from the user and providing data to the AI ​​module and emotion engine. The server processes responses from the AI ​​module and results from the emotion engine, and formats the information to be provided to the user. The server also manages access to the database and supports the search process of the AI ​​module and emotion engine.

[1481] 4. Role of AI Module

[1482] The AI ​​module searches a database of public assistance programs based on user input and the results of the emotion engine to identify applicable subsidies. The AI ​​module uses machine learning and data analysis techniques to identify the most suitable subsidies and help simplify the application process.

[1483] 5. The Role of the Emotional Engine

[1484] The emotion engine analyzes the user's emotional state from their voice, facial expressions, text input, etc., and provides the results to the AI ​​module and server. Based on the analysis results of the emotion engine, the accuracy of identifying subsidies and the applicability of search results are improved.

[1485] Program processing flow

[1486] 1. Enter your user information:

[1487] The user accesses the device and inputs basic information such as name, address, and contact details, as well as their current situation (e.g., a newborn child, a business damaged, etc.). In addition, the emotion engine recognizes the user's emotional state from their voice, facial expressions, and text input.

[1488] 2. Transmission of Information:

[1489] When the user clicks the "Send" button, the entered information and the analysis results of the emotion engine are sent from the device to the server.

[1490] 3. Receipt and processing of information by the server:

[1491] The server receives the user's input information sent from the terminal and the analysis results of the emotion engine, and analyzes the information.

[1492] 4. Server-based data formatting:

[1493] The server converts the received user information and emotion results into an appropriate format and formats them to be provided to the AI ​​module and emotion engine.

[1494] 5. Database search by AI module:

[1495] The AI ​​module searches a database of public assistance programs to identify the subsidy that best suits the user's situation and feelings.

[1496] 6. Returning and formatting search results:

[1497] The AI ​​module sends the identified subsidy information back to the server, which receives the information.

[1498] 7. Provision of Information:

[1499] The formatted subsidy information is sent to the terminal and displayed on the user's screen. The user then proceeds with the application process based on the provided information.

[1500] Specific examples

[1501] Example 1: When a child is born

[1502] 1. The user types "My first child was born" into the device, and the emotion engine recognizes the emotion (e.g., overwhelmed with happiness).

[1503] 2. The server receives the user information and emotion results and passes them to the AI ​​module.

[1504] 3. The AI ​​module identifies "child birth subsidies" from the database and sends them back to the server.

[1505] 4. The server sends the formatted subsidy information to the terminal and provides information that is easy for the user to use based on the emotion results.

[1506] 5. The terminal displays the information to the user and guides them through the application process.

[1507] 6. The user prepares the necessary documents and follows the instructions to complete the application process.

[1508] Example 2: If your business is affected by a natural disaster

[1509] 1. The user enters "My business was damaged by an earthquake" into the device, and the emotion engine recognizes the emotion (e.g., stress or anxiety).

[1510] 2. The server passes the information and emotion results to the AI ​​module.

[1511] 3. The AI ​​module identifies "subsidies for business recovery due to natural disasters" and returns the results to the server.

[1512] 4. The server sends the formatted information to the terminal and provides information to reduce the user's anxiety based on the emotional results.

[1513] 5. The terminal displays the information to the user and guides them through the application process.

[1514] 6. The user prepares the necessary documents and completes the application process.

[1515] This system allows users to easily obtain information about subsidies and grants and to easily apply for them. In particular, the use of an emotion engine enables flexible responses according to the user's emotional state, which is expected to greatly improve the user experience.

[1516] The processing flow will be explained below.

[1517] Step 1:

[1518] The user accesses the terminal and inputs their name, address, contact information, and current situation (for example, "My first child was born" or "My business was damaged in the earthquake").

[1519] Step 2:

[1520] The user provides additional input to the device using voice and facial expressions to express their emotions, and the emotion engine analyzes this input to determine the user's emotional state (e.g., happiness, stress, anxiety, etc.).

[1521] Step 3:

[1522] The user confirms the input information and emotion information and clicks the "Send" button, which sends the information from the terminal to the server.

[1523] Step 4:

[1524] The server receives the user's basic information sent from the terminal and the emotion engine's analysis results, and analyzes the information.

[1525] Step 5:

[1526] The server converts the received user information and emotional information into an appropriate format and formats it to be provided to the AI ​​module.

[1527] Step 6:

[1528] The server passes the formatted user information and emotion information to the AI ​​module to start the data analysis and search process.

[1529] Step 7:

[1530] The AI ​​module accesses a database of public assistance programs and performs a search to identify the grant that best suits the user's situation and emotional state.

[1531] Step 8:

[1532] The AI ​​module generates a list of the most suitable grants and subsidies from the search results and extracts detailed information about the identified grants (e.g., eligibility requirements, application procedures, required documents).

[1533] Step 9:

[1534] The AI ​​module sends the generated subsidy information back to the server, which receives the information.

[1535] Step 10:

[1536] The server then formats the received subsidy information into an easy-to-understand format for the user, taking into account emotional information so that the user can use the service without feeling stressed.

[1537] Step 11:

[1538] The server transmits the formatted subsidy information to the terminal, making it accessible to the user.

[1539] Step 12:

[1540] The terminal displays the subsidy information received from the server to the user. The displayed content includes a list of the most suitable subsidies, an overview of each subsidy, application conditions, application procedures, required documents, etc.

[1541] Step 13:

[1542] The user checks the subsidy information provided on the terminal and selects the desired subsidy.

[1543] Step 14:

[1544] The user clicks the "Start Application" button to proceed with the application process for the selected grant.

[1545] Step 15:

[1546] The device will then guide the user step-by-step through the detailed application process for the selected grant, providing the user with a list of required documents, how to submit them, and a link to download the application form.

[1547] Step 16:

[1548] The user follows the instructions on the terminal to prepare the necessary documents and fill out the application form. The user then submits the documents online or offline to complete the application process.

[1549] Step 17:

[1550] The server tracks the progress of the user's application and notifies the user via the terminal of the grant results and additional information as needed.

[1551] Through this detailed process, users can quickly and efficiently obtain information on subsidies and grants, and smoothly proceed with the appropriate application procedures.In addition, the introduction of an emotion engine enables flexible responses based on the user's emotional state, which is expected to improve the user experience.

[1552] Example 2

[1553] 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."

[1554] Conventional subsidy and grant application systems have the problem that it takes a great deal of effort for users to find appropriate support information that suits their situation. In addition, because information is provided without taking into consideration the user's emotional state, users may go through the process feeling stressed or anxious. This leads to a poor user experience and an inability to receive effective support, which is an issue.

[1555] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for receiving input information from a user, emotion analysis means for analyzing the input information and the user's emotional state, means for searching a database of public assistance programs based on the analysis results and the input information and identifying applicable support information, means for providing the user with the identified support information, and means for guiding the application procedure for the support information. This enables the user to easily obtain appropriate support information according to their own situation and emotional state in a short amount of time, and to proceed with the application procedure while reducing stress and anxiety.

[1556] "User" refers to any individual or legal entity that uses the System.

[1557] "Input Information" refers to basic and contextual information that a user provides to the system.

[1558] "Emotion analysis means" refers to a technical means for analyzing a user's emotional state and obtaining the results.

[1559] "Public assistance systems" refer to assistance programs such as subsidies and grants provided by governments and public institutions.

[1560] A "database" is a collection of data that stores information related to public assistance programs.

[1561] "Applicable support information" is information about subsidies and grants that are expected to be applicable, which is identified based on the user's input information and the emotion analysis results.

[1562] "Means" refers to a method or device used by a system to achieve a particular function.

[1563] "Application process" refers to the series of actions and document submission process required to receive a grant or subsidy.

[1564] "Machine learning module" refers to a software component that uses artificial intelligence techniques to perform data analysis and pattern recognition.

[1565] This invention is a system that receives input information from a user, searches a database of public assistance programs based on that information to identify applicable assistance information, and then uses emotion analysis means to provide appropriate assistance information while reducing the user's stress and anxiety. A detailed description of specific embodiments of this system is provided below.

[1566] System configuration and functions

[1567] This system is mainly composed of a server, a terminal, and a user. We will explain the role of each and the hardware or software used.

[1568] User Roles

[1569] The user is the main user of the system and inputs basic information and current situation via a terminal. Using emotion analysis means, the system analyzes the user's emotional state from voice, facial expressions, text input, etc.

[1570] Device Role

[1571] The terminal provides an interface for users to input information and perform sentiment analysis. It also displays information received from the server to users and provides information on applicable support and details of application procedures.

[1572] Server Roles

[1573] The server acts as the central part of the system, receiving information from users and processing the data using sentiment analysis and AI modules. The server then formats the received information and searches a database of public assistance programs to identify applicable assistance information. The identified information is then formatted again and provided to the user via their device.

[1574] Emotion analysis means

[1575] Sentiment analysis is a technical means for acquiring and analyzing emotional data such as voice, facial expressions, and text, as well as user input information. Machine learning algorithms (e.g., random forests and support vector machines) are used for emotion analysis. This makes it possible to provide information according to the user's emotional state.

[1576] AI Module

[1577] The AI ​​module searches the database of public assistance programs based on user information and emotion analysis results to identify the most appropriate assistance information. By using machine learning algorithms and data analysis techniques, it can accurately identify assistance information that suits the user's situation and conditions.

[1578] Specific examples

[1579] The following are some examples of specific usage scenarios:

[1580] Example 1: When a child is born

[1581] 1. The user enters "My first child was born" into the terminal, and the emotion analysis means recognizes the feeling of happiness.

[1582] 2. The device sends this information to the server.

[1583] 3. The server receives the information and passes it to the AI ​​module.

[1584] 4. The AI ​​module identifies "child birth subsidies" and sends the results back to the server.

[1585] 5. The server sends the formatted subsidy information to the terminal and displays it to the user.

[1586] 6. The user follows the instructions to complete the detailed application process.

[1587] Example 2: If your business is affected by a natural disaster

[1588] 1. The user inputs "My workplace was damaged by an earthquake" into the terminal, and stress is recognized using emotion analysis means.

[1589] 2. The device sends this information to the server.

[1590] 3. The server receives the information and passes it to the AI ​​module.

[1591] 4. The AI ​​module identifies "subsidies for business recovery due to natural disasters" and returns the results to the server.

[1592] 5. The server sends the formatted subsidy information to the terminal and displays it to the user.

[1593] 6. The user follows the instructions to complete the detailed application process.

[1594] Prompt Sentence Examples

[1595] Examples of prompts to the generative AI model when using this system include:

[1596] "What grants are available for my first child?"

[1597] "My business was damaged in the earthquake. I would like to know about natural disaster subsidies."

[1598] With the above configuration and functions, this system allows users to easily obtain optimal support information and proceed with the application process with flexible responses according to their emotional state.

[1599] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1600] Step 1: The user enters basic information and current situation into the device.

[1601] Specifically, the user enters their name, address, contact information, and current situation (e.g., the birth of their first child, or their business has been affected) into a form on the device screen. After the user has entered all the necessary information, the emotion analysis means recognizes their emotional state from their voice, facial expressions, and text. This allows the input to be collected on the device, and basic information and the emotion analysis results are obtained.

[1602] Step 2: The device sends the input information and emotion analysis results to the server.

[1603] When the user clicks the "Send" button, the device packetizes the aggregated input information and emotion analysis results and sends them to the server using the HTTPS protocol. At this time, the input is sent by the device, and the server receives the basic information and emotion data.

[1604] Step 3: The server analyzes the received information

[1605] The server analyzes the received basic information and emotion analysis results. Specifically, the server converts the received information into JSON format and temporarily stores the data in a database. The analysis results are formatted user information and emotion data.

[1606] Step 4: The server provides the data to the AI ​​module and sentiment analysis method

[1607] The server passes the formatted data to the AI ​​module and sentiment analysis means. Specifically, the server's data processing engine distributes the data and formats it for the AI ​​module and sentiment analysis means. This means that input is provided by the server and data is ready for analysis.

[1608] Step 5: The AI ​​module searches the database to identify applicable grants

[1609] The AI ​​module uses the provided basic information and emotion data to search a database of public assistance programs. Specifically, it uses machine learning algorithms (e.g., random forests and support vector machines) to identify subsidy information appropriate for the user's situation. The output is information about applicable subsidies.

[1610] Step 6: The server formats the results from the AI ​​module

[1611] The server formats the subsidy information received from the AI ​​module and converts it into a format that can be provided to the user. Specifically, the server converts the received data into HTML or XML format, making it easy for users to understand. The formatted subsidy information is obtained as output.

[1612] Step 7: The device displays the formatted grant information to the user.

[1613] The device receives the application subsidy information from the server and displays it on the user's screen. Specifically, the device's web browser or application renders the information and presents it in a visually easy-to-understand format. This allows the user to obtain applicable subsidy information and receive detailed guidance to proceed with the application process.

[1614] Through these steps, the system enables users to efficiently obtain information on applicable subsidies and grants, and respond flexibly according to their emotional state.

[1615] (Application example 2)

[1616] 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."

[1617] Conventional systems providing information on subsidies and grants do not take into account the user's emotional state, and therefore are unable to reduce the stress and anxiety that users feel when receiving information. In addition, there are cases where appropriate subsidy proposals are not made, making it necessary to improve the user experience.

[1618] The specification process by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for receiving input information from a user, means for searching a database of public support programs based on the input information and identifying applicable subsidies, means for providing information on the identified subsidies to the user, and means for recognizing the user's emotional state and providing information to reduce stress and anxiety based on the emotion. This enables flexible subsidy proposals that take the user's emotional state into consideration, and is expected to improve the user experience.

[1619] "User input information" refers to basic information and detailed information about the current situation that a user provides to the system.

[1620] The "Public Support System Database" is a database for collecting and managing information on subsidies and grants provided by governments and public institutions.

[1621] The "means for identifying applicable subsidies" refers to a technical means for searching the database based on information provided by the user and finding out the subsidies that the user is eligible to receive.

[1622] The "means for providing subsidy information to the user" is a means for informing the user of the details of the identified subsidy and how to apply for it.

[1623] The "means for guiding the subsidy application procedure" is a means for instructing the user on the process and how to prepare the documents required to actually apply for the identified subsidy.

[1624] The "means for recognizing emotional states" is a technical means for analyzing the psychological state of the user from their voice, facial expressions, text input, etc., and providing the results to other system modules.

[1625] "Means for providing information that reduces stress and anxiety" refers to means for providing information and services that relieve mental stress based on the emotional state of the user.

[1626] The "artificial intelligence module" is a technology module that uses machine learning and data analysis techniques to identify the most suitable subsidies for users and improve the applicability of search results.

[1627] To implement the present invention, a system having the following configuration is used.

[1628] First, the device that inputs user information must have a camera and a microphone, which can capture the user's basic information and current situation information, as well as facial expressions and voice. The device also includes an interface for processing the input information and sending it to the server.

[1629] The server receives the input information sent by the user and performs the following processes.

[1630] 1. Analyze the user's input information and use an emotion engine to recognize the user's emotional state. Specifically, image processing is performed using OpenCV, and facial expressions are analyzed using DeepFace. Furthermore, audio analysis using librosa is performed to extract audio features (MFCC) and identify the user's emotional state.

[1631] 2. The server then searches a database of public assistance programs based on the basic information provided by the user and the results of the emotion engine. An artificial intelligence module is used here to identify the most suitable subsidies and grants.

[1632] 3. The identified subsidy information is retransmitted from the server to the terminal, which then informs the user of the applicable subsidy information and the application procedure.

[1633] Furthermore, based on the results of the emotion engine, information is provided that takes into account the user's emotional state. For example, if the user is feeling stressed or anxious, information about relaxation corners and services will be provided. This improves the user experience.

[1634] An example of this system includes the following steps:

[1635] 1. The user inputs "My first child was born" into the device. The device's camera recognizes the user's happiness from their facial expression and analyzes their emotions from their voice input.

[1636] 2. The server receives the information and emotion results and searches the database to identify "child birth grants."

[1637] 3. The server sends the formatted subsidy information to the terminal and displays the information in a format that is easy for the user to use.

[1638] 4. The terminal will provide detailed instructions on the subsidy application procedure, and the user will prepare the necessary documents to complete the application.

[1639] The following are examples of prompt sentences:

[1640] User: Open the smartphone app

[1641] System: Allow use of camera and microphone

[1642] User: Allow

[1643] System: Capturing emotions...

[1644] System: Your emotion is "Euphoria". Take advantage of the following special promotions:

[1645] Promotion 1: 20% off product A

[1646] Promotion 2: Free Drink Coupon

[1647] Promotion 3: Triple VIP Member Points Campaign

[1648] In this way, the entire system operates in an integrated manner, enabling flexible responses that take into account the user's emotional state.

[1649] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1650] Step 1:

[1651] The user inputs information into the device. The user inputs basic information (such as name and address) and current situation (e.g., the first child was born) on the smartphone screen. The emotion engine also uses the camera and microphone to capture the user's facial expressions and voice data. The input information is then saved on the device as text data and multimedia data.

[1652] Step 2:

[1653] The device sends the input information to the server. The device converts the user's input text data and the captured facial expression and voice data into packet data and sends it to the server. The transmitted data waits for analysis on the server.

[1654] Step 3:

[1655] The server analyzes the received data. The server analyzes the received text data, facial expressions, and voice data to extract the user's basic information and emotional state. The text data is analyzed using a natural language processing (NLP) engine, and emotion analysis includes facial expression recognition using OpenCV and DeepFace and analysis of voice features (MFCC) using librosa. The analysis results in the user's basic information and emotional data in rich text format.

[1656] Step 4:

[1657] The server searches the database. Based on the analysis results, the server's artificial intelligence module searches the database of public assistance programs and identifies the subsidies and grants that are most suitable for the user. This is a process that uses a machine learning algorithm to match the user's situation with the assistance information in the database. The identified subsidy information is stored in temporary storage on the server.

[1658] Step 5:

[1659] The server formats the subsidy information and sends it to the terminal. The server formats the identified subsidy information in a format that is easy for the user to understand, and formats the data including instructions on the necessary application procedures. The formatted data is converted back into packet data and sent to the terminal.

[1660] Step 6:

[1661] The terminal provides the user with subsidy information. The terminal displays the data received from the server and provides the user with information on the most suitable subsidies and grants and specific application procedures. This allows the user to check detailed information about the subsidies and how to apply on the terminal screen.

[1662] Step 7:

[1663] Providing information according to the user's emotional state. Based on the emotion analysis results from the server, the device provides additional information and support according to the user's emotional state. For example, if the user is feeling stressed, it displays options for relaxation techniques and mental support. Providing such information reduces the user's mental burden and provides a better user experience.

[1664] Through these steps, the system is able to propose optimal subsidies based on the user's input information and emotional state, and provide information to reduce stress and anxiety.

[1665] 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.

[1666] 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.

[1667] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1668] 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.

[1669] 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.

[1670] 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.

[1671] 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).

[1672] 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.

[1673] 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."

[1674] 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.

[1675] 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).

[1676] 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.

[1677] 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.

[1678] 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.

[1679] 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.

[1680] 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.

[1681] 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.

[1682] 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.

[1683] 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.

[1684] 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.

[1685] 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.

[1686] The following is further disclosed regarding the above embodiment.

[1687] (Claim 1)

[1688] means for receiving input information from a user;

[1689] A means for searching a database of public support programs based on the input information and identifying applicable subsidies;

[1690] means for providing information on the identified subsidy to a user;

[1691] a means for providing guidance on the application procedure for the subsidy;

[1692] A system including:

[1693] (Claim 2)

[1694] 2. The system of claim 1, wherein the means for receiving user information includes basic information about the user and detailed information about the current situation.

[1695] (Claim 3)

[1696] 10. The system of claim 1, wherein the means for searching the database uses an artificial intelligence module to identify subsidies appropriate to the user's circumstances.

[1697] "Example 1"

[1698] (Claim 1)

[1699] means for receiving input information from a user;

[1700] A means for searching a database of public support programs based on the input information and identifying applicable subsidies;

[1701] means for formatting the identified subsidy information for presentation to a user;

[1702] a means for providing guidance on the application procedure for the subsidy;

[1703] A system including:

[1704] (Claim 2)

[1705] 2. The system of claim 1, further comprising means for using an artificial intelligence module to convert said information into an appropriate format based on the input information.

[1706] (Claim 3)

[1707] 10. The system of claim 1, further comprising means for displaying grant information and application procedure details to a user using a terminal.

[1708] "Application Example 1"

[1709] (Claim 1)

[1710] means for receiving input information from a user;

[1711] A means for searching a database of public support programs based on the input information and identifying applicable subsidies;

[1712] means for providing information on the identified subsidy to a user;

[1713] a means for providing guidance on the application procedure for the subsidy;

[1714] a means of collecting data from factory equipment and identifying applicable subsidies;

[1715] a means for providing the subsidy information to a factory manager and proceeding with the application procedure;

[1716] A system including:

[1717] (Claim 2)

[1718] 2. The system of claim 1, wherein the means for receiving user information includes basic information about the user and detailed information about the current situation.

[1719] (Claim 3)

[1720] 10. The system of claim 1, wherein the means for searching the database uses an artificial intelligence module to identify subsidies appropriate to the user's circumstances.

[1721] (Claim 4)

[1722] 10. The system of claim 1, wherein the system uses an artificial intelligence module to analyze data collected from factory equipment and identify applicable subsidies.

[1723] "Example 2: Combining Emotion Engines"

[1724] (Claim 1)

[1725] means for receiving input information from a user;

[1726] emotion analysis means for analyzing the input information and the user's emotional state;

[1727] A means for searching a database of public support systems based on the analysis results and input information to identify applicable support information;

[1728] means for providing the identified support information to a user;

[1729] a means for providing guidance on the application procedure for the support information;

[1730] A system including:

[1731] (Claim 2)

[1732] 2. The system of claim 1, wherein the means for receiving user information includes basic information about the user and detailed information about the current situation.

[1733] (Claim 3)

[1734] 10. The system of claim 1, wherein the means for searching the database uses a machine learning module to identify grants based on the user's situation and emotional state.

[1735] "Application example 2 when combining emotion engines"

[1736] (Claim 1)

[1737] means for receiving input information from a user;

[1738] A means for searching a database of public support programs based on the input information and identifying applicable subsidies;

[1739] means for providing information on the identified subsidy to a user;

[1740] a means for providing guidance on the application procedure for the subsidy;

[1741] means for recognizing the emotional state of a user and providing information to reduce stress or anxiety based on the emotional state;

[1742] A system including:

[1743] (Claim 2)

[1744] 2. The system of claim 1, wherein the means for receiving user information includes basic information about the user and detailed information about the current situation.

[1745] (Claim 3)

[1746] 10. The system of claim 1, wherein the means for searching the database uses an artificial intelligence module to identify subsidies appropriate to the user's circumstances. [Explanation of symbols]

[1747] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. means for receiving input information from a user; A means for searching a database of public support programs based on the input information and identifying applicable subsidies; means for providing information on the identified subsidy to a user; a means for providing guidance on the application procedure for the subsidy; A system including:

2. 2. The system of claim 1, wherein the means for receiving user information includes basic information about the user and detailed information about the current situation.

3. 10. The system of claim 1, wherein the means for searching the database uses an artificial intelligence module to identify grants tailored to the user's circumstances.

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