system

Abstract

We provide the system. [Solution] A means of collecting basic information and desired conditions from users, A means of proposing the most suitable educational institution based on the aforementioned information, A means to automate the application process for the proposed educational institutions, A means of automatically notifying relevant organizations and addressing any problems that may arise during your stay, After returning to Japan, a means to visualize the skills and experience gained during the stay and provide them to collaborating organizations, A system that includes this.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a persona chatbot control method performed by at least one processor, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a 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

Summary of the Invention

Problems to be Solved by the Invention

[0004] For individuals wishing to study abroad, due to the complexity of information collection and application procedures, there is a problem that it is difficult to select an appropriate educational institution and curriculum. In addition, there is also a problem that appropriate responses are not promptly made to troubles occurring during study abroad, and furthermore, the skills and experiences obtained after returning to the home country are not sufficiently evaluated. There is a need for a mechanism to solve such problems and improve the study abroad experience of users.

Means for Solving the Problems

[0005] This invention provides a system that collects basic information and desired conditions from users and uses AI to suggest the most suitable educational institutions based on that information. It also includes a function to automate the application process for the suggested educational institutions and to automatically notify relevant organizations of any problems that may arise during the user's stay and to handle them accordingly. Furthermore, upon returning home, it visualizes the skills and experience gained during the stay and provides this information to collaborating organizations, thereby providing users with an opportunity to have their skills and experience appropriately evaluated.

[0006] "Users" refer to individuals who use this system to provide information and receive support.

[0007] "Basic information" refers to fundamental data about an individual, such as name, age, and educational background.

[0008] "Desired conditions" refer to the conditions that the user desires regarding studying abroad, such as the country, field of study, budget, and duration.

[0009] "Educational institutions" refers to universities, vocational schools, and other institutions that users consider as potential study abroad destinations.

[0010] "Optimal" refers to the option that best matches the user's basic information and desired conditions, and is expected to yield the greatest results.

[0011] "Suggestions" refer to recommendations presented to the user by the AI ​​system based on its analysis results.

[0012] "Application procedures" refer to the series of procedures involved in preparing the necessary documents and obtaining a visa for studying abroad.

[0013] "Automation" refers to a system spontaneously performing complex operations or tasks.

[0014] "Trouble" refers to any problems or difficulties that may arise during your studies abroad.

[0015] "Notification" refers to the act of transmitting specific information to a target.

[0016] "Response" refers to taking appropriate actions in response to a situation that needs to be addressed.

[0017] "Ability" refers to skills such as language proficiency and specialized knowledge that have been improved during the study abroad period.

[0018] "Experience" refers to the achievements obtained by the user, such as activities participated in and qualifications acquired during the study abroad.

[0019] "Visualization" refers to presenting abstract data in an understandable form, such as in the form of graphs or reports.

[0020] "Cooperating organizations" refer to companies and educational institutions that use this system to evaluate and employ the skills and experiences of users.

Brief Explanation of Drawings

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

Mode for Carrying Out the Invention

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

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

[0024] In the following embodiments, a processor with a reference numeral (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of a plurality of arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of a plurality of types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0025] In the following embodiments, signed RAM (Random Access Memory) is a memory that temporarily stores information and is used as work memory by the processor.

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

[0027] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0028] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0029] [First Embodiment]

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

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

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

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

[0034] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0035] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0036] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

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

[0038] As shown in Figure 2, in the data processing device 12, a specific processing 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" related to the technology of this 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 according to the specific processing program 56 executed on the RAM 30.

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

[0040] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

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

[0042] This invention is a comprehensive system for supporting users who wish to study abroad. This system consists of a server, terminals, and users who operate them. The embodiments for carrying out this invention are described in detail below.

[0043] The server receives basic information and preferences provided by the user. This includes data entered by the user via a web portal or dedicated application. This information is stored in a database and used as foundational data for AI analysis.

[0044] The server uses an AI algorithm to suggest the most suitable educational institutions based on accumulated user information. The AI ​​analyzes past data and evaluation information to generate personalized and optimal suggestions for each user. Users can view a list of suggested educational institutions on their device and select the one that best suits them.

[0045] For selected educational institutions, the server automatically initiates the application process. This includes features that allow the server to handle complex procedures such as preparing necessary documents, submitting electronic applications, and assisting with visa acquisition. The terminal displays the progress of the process in real time, allowing users to stay informed at all times.

[0046] Furthermore, if a user encounters any problems during their study abroad period, they can send a support request from their device. Based on this information, the server automatically notifies the relevant organizations of the problem according to a pre-registered protocol. This allows for a smooth and appropriate response.

[0047] Furthermore, after the study abroad period ends, the server uses the collected inquiry data and academic performance data to visualize the user's abilities and experience. This visualized data is provided to collaborating organizations to support users in obtaining new career and scholarship opportunities.

[0048] Thus, the system of the present invention can comprehensively handle information gathering, optimal recommendations, procedural assistance, troubleshooting, and career support after returning to Japan for those wishing to study abroad. For example, if a user wishes to study computer science in the United States, the system will suggest several universities in the U.S., automate the procedures, and handle everything from post-departure life support to career development after returning to Japan. As a result, users are freed from the complexities of procedures and are provided with an environment in which they can concentrate on their studies and cross-cultural experiences.

[0049] The following describes the processing flow.

[0050] Step 1:

[0051] Users enter basic information and desired conditions using their devices and access a dedicated application or web portal. This collects data such as the country, field of study, budget, and duration of study abroad.

[0052] Step 2:

[0053] The terminal sends the collected information to the server. The server receives this information and stores it in a database. The information is saved in a standardized format, preparing it for subsequent AI analysis.

[0054] Step 3:

[0055] The server uses an AI algorithm to identify the most suitable educational institution based on accumulated user information. The AI ​​generates a variety of options, taking into account factors such as evaluations of study abroad destinations, historical data, and cost information.

[0056] Step 4:

[0057] The server sends a list of optimal educational institutions, generated by AI, to the user's device. The user can then review the suggested options on their device and select the educational institution that best suits their needs.

[0058] Step 5:

[0059] After the user selects an educational institution, the server automatically initiates the corresponding application process. This includes preparing documents and applying for visas as needed.

[0060] Step 6:

[0061] The server notifies the terminal of the application process's progress in real time. Users can stay informed of the process's progress at all times and provide additional information when necessary.

[0062] Step 7:

[0063] If problems arise during their study abroad, users can submit support requests through their device.

[0064] Step 8:

[0065] The server automatically contacts the relevant organizations based on the received support request, communicates the details of the problem, and prompts them to take appropriate action.

[0066] Step 9:

[0067] The server visualizes users' abilities and experiences based on academic performance data and activity records collected after their study abroad program ends. This data is provided to collaborating organizations and used to help users develop their careers after returning to Japan.

[0068] (Example 1)

[0069] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0070] For users wishing to study abroad, it is necessary to find the most suitable educational institution, simplify and automate the application process, and provide comprehensive support during their stay and career assistance after their return. In such a complex process, an efficient and effective system is needed to reduce manual errors and alleviate the burden on users.

[0071] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0072] In this invention, the server includes means for collecting attribute information and desired conditions from the user, means for suggesting the most suitable educational facility using a machine learning model based on the information, and means for electronically automating the application process for the suggested educational facility. This makes it possible to suggest the most suitable educational institution to the user and to automate and support the application process.

[0073] A "user" is an individual who wishes to use the system to select a study abroad destination or complete the application process.

[0074] "Attribute information" refers to the user's basic data, including information such as name, age, educational background, and desired major.

[0075] "Desired conditions" refer to the specific requirements and conditions that the user seeks regarding studying abroad, including information such as destination, budget, and duration.

[0076] A "server" is a central control unit that receives user input data, processes it, and provides the results.

[0077] A "machine learning model" is a program that analyzes vast amounts of data and learns patterns, and is used to make optimal suggestions.

[0078] "Educational institutions" refer to places of learning such as universities and specialized institutions that are considered potential study abroad destinations.

[0079] "Application procedures" refer to the procedures required for studying abroad, including preparing and submitting documents, and applying for a visa.

[0080] "Means of electronic automation" refers to methods of using the power of computers to automatically perform a series of processes in order to reduce manual labor.

[0081] This invention relates to a comprehensive system that supports users who wish to study abroad. This system consists of servers, terminals, and users. Furthermore, various hardware and software are utilized to implement it.

[0082] The server receives attribute information and desired conditions from users and stores them in a database. Interface tools such as web forms and mobile applications are used in this process. For example, when a user enters information such as "Computer Science major, studying in the US, annual budget of $30,000," the data is immediately sent to the server.

[0083] Next, the server uses a machine learning model to identify and suggest the most suitable educational institutions. This analysis utilizes deep learning frameworks such as "TENSORFLOW®" and performs analysis based on accumulated evaluation and cost information. As a result, users are presented with options such as "the top 5 universities in America."

[0084] The terminal provides this information to the user intuitively and features a user experience that allows for easy selection. The application process for selected educational institutions is automated electronically by the server using the "DocuSign API" and the "USCIS Online Platform."

[0085] Furthermore, if any problems arise during their studies abroad, users can request support from their device. This request is processed by the server, and the relevant organizations are automatically contacted via the SMTP protocol. This process ensures that users can receive support smoothly.

[0086] Upon returning home, the server visualizes the data collected during the stay and provides it to partner organizations using visualization tools such as Tableau. This allows users to receive support in finding new career opportunities or scholarships.

[0087] For example, by entering a prompt message in the system such as, "Please suggest the best study abroad destination for the user to obtain their desired degree. Please consider the target country, field of study, and specific conditions," users can obtain a variety of options and support. This allows even complex processes to proceed smoothly, providing users with an environment where they can focus on their studies and cross-cultural experiences with peace of mind.

[0088] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0089] Step 1:

[0090] Users enter their personal information and desired conditions for studying abroad using a web portal or a dedicated app. Specifically, they fill in data such as their major, country, budget, and length of stay in a form and send it to the server by pressing the submit button. The information entered is detailed to accurately reflect the individual needs of the user.

[0091] Step 2:

[0092] The server stores the information received from the user in a database. The information received as input is converted to JSON format and stored in the database, becoming the basic data for subsequent processing. In this case, a relational database such as "PostgreSQL" is used.

[0093] Step 3:

[0094] The server uses the collected information to activate a machine learning model and select the most suitable educational institution. This process first refers to past evaluation and cost information to propose the educational institution that best matches the user's desired conditions. The accumulated data is used as input, and the machine learning model performs data analysis and pattern recognition. The output is a list of the most suitable educational institutions.

[0095] Step 4:

[0096] The user reviews the list of educational institutions displayed on the device and selects the institution that best suits their needs. The device provides the user with options and sends the selected information to the server. Throughout this process, the user-friendly interface makes selection easy.

[0097] Step 5:

[0098] The server automates the application process to selected educational institutions. Selected institution and user information are used as input, and electronically signed documents and application forms are generated as output. Digital documents are created and processed using APIs such as "DocuSign API" and automatically sent to the target institutions.

[0099] Step 6:

[0100] The server receives support requests submitted by users during their stay and automatically contacts the relevant organizations. The input is a user request, and the output is trouble information sent to the relevant organizations using the SMTP protocol. This automated notification ensures prompt assistance.

[0101] Step 7:

[0102] After the user returns to their home country, the server analyzes and visualizes the information accumulated during their stay and provides it to the cooperating organization. Input data includes academic performance and evaluation data. The data is visualized using tools such as "Tableau," and the output provides analytical results for new career support. This allows the user to smoothly prepare for their next steps.

[0103] (Application Example 1)

[0104] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0105] Students hoping to study abroad face challenges in finding educational institutions that meet their needs and efficiently navigating complex application procedures. Furthermore, they require prompt support in case of problems during their stay abroad, and lack sufficient support to effectively utilize their study abroad experience upon returning home. Additionally, opportunities to receive personalized learning materials are limited.

[0106] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0107] In this invention, the server includes means for collecting basic information and desired conditions from the user, means for suggesting the most suitable educational institution, means for automating the application process for the suggested educational institution, means for automatically notifying relevant organizations and addressing any problems that arise during the stay, means for visualizing the user's abilities and experience after returning home and providing it to cooperating organizations, and means for delivering personalized learning materials based on the user's information processing terminal. This enables the user to conduct their study abroad program efficiently and effectively and make the most of their experience.

[0108] A "user" is an individual who wishes to study abroad and uses this system to gather information and complete application procedures.

[0109] "Basic information" refers to personal data such as the user's name, age, educational background, specialization, and language skills.

[0110] "Desired conditions" refer to the conditions that users expect from their study abroad institution, as well as their desired field of study, region, budget, and other preferences.

[0111] An "educational institution" refers to an institution that provides academic or skills education, such as a university, vocational school, or language school.

[0112] "Application procedures" refer to the official procedures required for studying abroad, such as applying for admission to an educational institution, obtaining a visa, and submitting necessary documents.

[0113] "Related organizations" refer to local public institutions and support groups that are required to respond when problems or troubles arise regarding studying abroad.

[0114] "Abilities and experience" refers to the skills, knowledge, and cultural experiences that the user acquires through education and daily life during their study abroad period.

[0115] A "partnering organization" refers to an organization that has partnered with this system for the purpose of providing education, career development, or support for students' life abroad.

[0116] "Information processing terminals" refer to electronic devices such as smartphones, tablets, and personal computers that are capable of inputting, outputting, and communicating information.

[0117] "Learning materials" refer to educational content provided by educational institutions, including teaching materials, videos, articles, and workbooks necessary for deepening knowledge.

[0118] To implement this invention, a system consisting of a server, an information processing terminal, and a user is designed.

[0119] The server first collects basic information and desired conditions from users via information processing terminals. This includes data entered by users through applications on the terminals, and the server securely stores this data in a database. For data analysis, an AI algorithm using Python and TensorFlow is used to suggest the most suitable educational institutions. In this process, past experience evaluation data and cost data are also considered as part of the analysis.

[0120] Users can review and select from multiple educational institutions proposed on the interface of their information processing terminal. The server system has the functionality to automatically proceed with the application process based on that selection. This includes filling out entry forms, electronically submitting required documents, and assisting with visa acquisition.

[0121] If a user encounters any problems during their stay, they can send a support request to the server from their device. The server then configures an automated system that sends problem information to the relevant organizations using programming languages ​​such as Swift or Java (registered trademark), according to the registered protocol. This enables a quick and effective response.

[0122] Furthermore, upon returning home, the server uses the collected performance data and experience information to visualize the user's achievements and provides support to relevant organizations. This gives users the opportunity to explore new career options and scholarship opportunities.

[0123] As part of its learning management system, this system also has the function of delivering personalized educational content to users via information processing terminals. Based on an AI model, it automatically recommends videos and articles that correspond to the user's areas of interest and skills. As a concrete example of this function, when a high school student goes abroad to study a language, that student is individually provided with content that is useful for everyday conversation.

[0124] The generation of natural language content is also facilitated using generative AI models. An example of a prompt in this case would be, "Please provide relevant learning content based on the user's most suitable study abroad destination information." In this way, the entire system provides consistent support, enabling a smooth study abroad process.

[0125] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0126] Step 1:

[0127] The server receives basic user information and preferences transmitted from the terminal. The input consists of text information entered by the user through the application. The server stores this information in a database and compiles it as foundational data for subsequent AI analysis.

[0128] Step 2:

[0129] The server runs an AI model based on stored basic information and desired conditions to select the most suitable educational institution. The inputs here are user information and past evaluation data stored in the database. The output is a list of optimal educational institutions generated by the AI ​​model, which analyzes past data and considers evaluation metrics.

[0130] Step 3:

[0131] The server sends a list of suitable educational institutions to the terminal. This allows the user to view details of the suggested educational institutions on their terminal. The input is the list of educational institutions generated in step 2, and the output is the display on the terminal.

[0132] Step 4:

[0133] The server automatically handles the application process for the educational institution selected by the user. The user inputs their selection information from their terminal, and based on this, the server generates the necessary documents and submits the electronic application to the relevant institutions. The output is a notification that the application has been completed.

[0134] Step 5:

[0135] If a problem occurs during their stay, the user sends a support request to the server using their device. The input is request data from the device, including details of the problem. The server automatically sends relevant information to the appropriate organizations according to a pre-configured protocol. The output is the commencement of the resolution process and notification to the relevant organizations.

[0136] Step 6:

[0137] The server visualizes the academic performance and experiences gained during the study abroad period. The input consists of academic and lifestyle data accumulated during the period. The server analyzes this data and generates a visual report to evaluate the user's abilities and experiences. The output is an evaluation report provided to collaborating organizations.

[0138] Step 7:

[0139] The server utilizes a generative AI model to automatically deliver learning materials tailored to the user to their device. The input here consists of data about the user's interests and learning history, which the AI ​​uses to select appropriate educational content. The output is personalized learning videos and articles provided on the device.

[0140] Through the steps outlined above, this system provides comprehensive support to prospective students, enabling them to enrich their learning and daily lives.

[0141] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0142] This invention provides enhanced support to users who wish to study abroad by combining an emotion engine with a system designed to assist them. This system consists of a server, terminals, and an emotion engine, and the integrated functioning of these components streamlines the entire study abroad process for users.

[0143] The server receives the user's basic information and preferences. This data is stored in a database and used as foundational data for AI analysis. The terminal is responsible for transmitting the information entered by the user to the server, thereby facilitating the smooth flow of information.

[0144] The AI ​​algorithm within the system operates on a server and identifies the most suitable educational institution for the user from accumulated data. The AI ​​analyzes past evaluation and cost data to generate and suggest the best options for the user. The terminal receives these results and presents them to the user.

[0145] The emotion engine is installed in the device and analyzes user input data and activity logs in real time. This analysis is performed to estimate the user's emotional state and monitor stress and anxiety levels. For example, if a user is experiencing stress due to prolonged data entry, the system can detect this through the emotion engine and provide alerts or appropriate information via the server.

[0146] Furthermore, the emotion engine dynamically adjusts the information and suggestions provided based on the user's emotional state. For example, when a user is feeling stressed, information and support that promotes relaxation will be displayed. This ensures that users always receive support optimized for their individual needs.

[0147] The application process is automated and directed to the educational institution selected by the user. The server manages the entire process, including preparing necessary documents and submitting electronic applications. Users can monitor the progress of the application in real time via their terminal and receive feedback from an emotional engine, allowing them to proceed with confidence.

[0148] This invention, through its series of functions, comprehensively provides prospective students with information gathering, optimal recommendations, procedural assistance, troubleshooting, and post-return career support, as well as emotional support through monitoring their emotional state. As a result, users are freed from the complexities of procedures and provided with an environment where they can concentrate on their studies and cross-cultural experiences. For example, if a user wishes to study art in France, the system will suggest appropriate educational institutions in France, and the emotional engine will provide support to maintain the user's motivation.

[0149] The following describes the processing flow.

[0150] Step 1:

[0151] The user enters basic information and desired conditions using the device. This includes information such as the desired country of study, field of study, and budget. This information is collected by an emotion engine built into the device, while monitoring the user's emotional state.

[0152] Step 2:

[0153] The device sends the collected information and sentiment data to the server. The server stores this information in a database and prepares it for use as basic data for analysis.

[0154] Step 3:

[0155] The server activates an AI algorithm to identify the most suitable educational institution for the user based on accumulated information. In this process, the server analyzes evaluation data and cost big data to generate candidates.

[0156] Step 4:

[0157] The server sends a list of optimal educational institutions generated by AI to the device. The device displays the suggested options to the user and presents choices. The user selects the educational institution that interests them most from the list.

[0158] Step 5:

[0159] Based on the user's selection, the server automatically initiates the application process. It manages the preparation of documents, the creation of formalized application forms, and the visa application process, efficiently handling all aspects of the process.

[0160] Step 6:

[0161] The device uses an emotion engine to continuously monitor the user's emotional state during the application process. If stress or anxiety is detected, appropriate support and relaxation information are immediately provided via the server.

[0162] Step 7:

[0163] If a problem occurs during their study abroad, the user can submit a support request through their device. This request will also include emotional data detected by the emotion engine.

[0164] Step 8:

[0165] The server analyzes received support requests and automatically notifies the relevant organizations. This notification includes information necessary to understand the situation, enabling a swift response.

[0166] Step 9:

[0167] After the study abroad program ends, the server visualizes the user's abilities and experience based on collected emotional and academic data. This data is provided to collaborating organizations to support the user's career advancement. The terminal then presents the user with new opportunities through this information.

[0168] (Example 2)

[0169] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0170] For users who wish to study abroad, it is necessary to provide a comprehensive service that includes suggesting the most suitable learning institutions, automating the application process, handling assignments during their stay, and managing their emotional state, thereby creating an environment where users can be freed from the burden of procedures and stress, and can confidently realize their study abroad goals.

[0171] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0172] In this invention, the server includes means for collecting basic data and desired conditions from the user, means for suggesting the optimal learning institution, and means for analyzing the user's emotional state in real time using an emotion engine and dynamically adjusting the information provided based on that state. This makes it possible to propose the optimal learning environment for the user, and to efficiently and comfortably realize the entire process from application to stay and after returning home.

[0173] "Basic data" refers to personal information about the user and their desired conditions regarding studying abroad.

[0174] "Learning institution" refers to an educational institution, school, university, or other place of learning that is considered as a destination for studying abroad.

[0175] "Application processing" refers to the series of procedures involved in applying to a learning institution selected by the user, including the submission of necessary documents and registration procedures.

[0176] "Related departments" refers to organizations or institutions involved in resolving problems that may arise during the user's study abroad period.

[0177] An "emotional engine" refers to a technology that analyzes the user's emotional state and adjusts the system's operation based on that analysis.

[0178] "Real-time analysis" refers to analyzing data as soon as it is generated and immediately performing appropriate processing based on the results.

[0179] A "protocol" refers to a set of standardized rules and procedures used for transmitting information.

[0180] "Dynamic adjustment" refers to modifying the content provided and taking appropriate action based on the immediate situation and conditions.

[0181] This invention provides a system that offers integrated support to users who wish to study abroad. This system incorporates a server, terminals, and an emotion engine, with each component working in coordination.

[0182] The server receives basic data and desired conditions from the user and stores them in a database. This data is then used as foundational data for analysis using a generative AI model. By analyzing past evaluation data and cost data, the AI ​​model identifies and proposes the most suitable learning institution for the user.

[0183] The terminal sends the information entered by the user to the server, and the server then presents the user with a list of the most suitable learning institutions. Based on these results, the user can view detailed information about the candidate learning institutions.

[0184] The emotion engine is built into the device and analyzes user input data and activity logs in real time. This analysis determines the user's emotional state. For example, if the user feels tired after prolonged use, the system will detect this and provide appropriate alerts or relaxation information.

[0185] The application process is managed by a server and automatically proceeds to the learning institution selected by the user. The server generates the necessary documents and processes the electronic application, and notifies the user of the progress via the terminal.

[0186] This reduces the burden on users from procedures and information gathering, allowing them to make decisions about studying abroad effectively and comfortably. For example, a user can perform a search using a prompt such as, "If I want to study art in France, please suggest suitable learning institutions and provide emotional support to maintain my motivation." In this way, the present invention provides users with an optimal learning environment and emotional support.

[0187] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0188] Step 1:

[0189] The user uses a terminal to enter basic data and desired conditions. This includes providing their name, destination, desired field of study, and study period. The terminal collects this input data and sends it to the server.

[0190] Step 2:

[0191] The server stores the data received from the terminal in a database. This data serves as the foundational data for the generating AI model to perform analysis. The server verifies the received data, processes it in the required format, and saves it.

[0192] Step 3:

[0193] The server runs a generative AI model, analyzing user data, historical evaluation data, and cost data stored in the database. Based on the input conditions, the AI ​​model identifies the most suitable learning institution for the user. As a result of the analysis, a list of learning institutions is generated.

[0194] Step 4:

[0195] The server sends the generated list of learning institutions to the terminal. The terminal presents the results to the user and displays detailed information about each learning institution. At this time, the user can compare and consider the presented options.

[0196] Step 5:

[0197] The user selects their preferred learning institution from the presented options. The device then sends this selection to the server.

[0198] Step 6:

[0199] The server initiates the application process to the selected learning institution. It automatically generates the necessary documents and submits the application electronically. The server proceeds with the process according to the protocol and updates the application status in the database.

[0200] Step 7:

[0201] The terminal notifies the user of the progress of the application process in real time. Furthermore, an emotion engine monitors the user's stress and emotions, providing relaxation information and alerts as needed. This allows the user to proceed with the process with peace of mind.

[0202] (Application Example 2)

[0203] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0204] Students hoping to study abroad face various challenges, including selecting an educational institution, completing procedures, and dealing with problems during their stay. However, a major issue is the psychological burden and lack of adequate information provided during these processes. Furthermore, the lack of content tailored to students' moods and interests can easily lead to monotonous study abroad experiences.

[0205] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0206] In this invention, the server includes means for collecting attribute information and desired conditions from the user, means for suggesting the most suitable educational institution based on the information, and means for automating the application process for the suggested educational institution. This reduces the psychological burden on the user and enables the provision of content based on their emotional state to enrich their study abroad experience.

[0207] A "user" is an individual who wishes to study abroad using this system.

[0208] "Attribute information" refers to basic data or characteristics about individual users.

[0209] "Desired conditions" refer to the specific requirements or wishes that the user hopes to fulfill during their study abroad experience.

[0210] An "educational institution" is an institution where students can study or conduct research, and which they choose as their study abroad destination.

[0211] "Application procedures" refer to all the necessary steps for applying for admission or participation in an educational institution.

[0212] "Related organizations" refer to cooperating groups or organizations that help address problems that may arise during your studies abroad.

[0213] An "organization" is an organization that accepts and utilizes the experiences and abilities of its users.

[0214] "Emotional state" refers to the user's feelings and mental state, including their level of stress and relaxation.

[0215] "Content" refers to the information and entertainment provided to users.

[0216] This invention streamlines the user's study abroad process and provides emotional support using a system equipped with a server, terminal, and emotion engine. The server stores attribute information and desired conditions collected from the user in a database. Based on this, an AI algorithm running on the server analyzes past user evaluation data and economic data based on the accumulated data and proposes the most suitable educational institution for the user.

[0217] The terminal transmits information entered by the user to the server and also presents the user with suggested options and the progress of the application process. Furthermore, an emotion engine is installed in the terminal, which analyzes the user's input data and activity logs in real time. This allows the system to monitor the user's emotional state, estimate stress and anxiety levels, and dynamically adjust the information provided and suggestions.

[0218] For example, when a user is feeling stressed, in addition to educational institution procedures, relaxing content such as healing music and cultural information is presented. Furthermore, the server automatically notifies relevant institutions of any issues during the user's stay, facilitating quick problem resolution.

[0219] For example, if a user wishes to study in France, the system will suggest suitable educational institutions in France and automate the application process to ensure a smooth flow. If the user feels anxious, tailored support and entertainment will be provided.

[0220] In utilizing generative AI models, an example of a prompt message could be: "The user has reported feeling stressed; please suggest relaxing content."

[0221] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0222] Step 1:

[0223] The user enters attribute information and desired conditions into the terminal. This data is sent from the terminal to the server. The entered data represents the user's basic attributes and desired conditions and forms the basis for analysis in the next stage.

[0224] Step 2:

[0225] The server stores the transmitted data in its database. At this stage, the server receives the user's attribute information and preferences, and uses this information to prepare to identify the most suitable educational institutions.

[0226] Step 3:

[0227] An AI algorithm running on the server analyzes past user evaluation data and economic data accumulated from a database. This analysis generates the most suitable educational institution options for the user. The AI ​​learns patterns in the data and identifies the option that best matches the user's requirements.

[0228] Step 4:

[0229] The generated list of educational institution options is sent from the server to the terminal and presented to the user. The user can then review this information and make the most suitable choice.

[0230] Step 5:

[0231] The application process related to the educational institution selected by the user is automatically managed by the server. The server prepares the necessary documents, submits the electronic application, and reports the progress to the user's terminal in real time.

[0232] Step 6:

[0233] The device is equipped with an emotion engine that analyzes user input data and activity logs in real time. This analysis estimates the user's emotional state and provides appropriate content based on their stress level. Specifically, if the user is feeling stressed, it suggests content that promotes relaxation.

[0234] Step 7:

[0235] The server receives analysis results from the emotion engine based on the user's emotional state and automatically sends notifications to relevant organizations as needed. This allows for a quick response to any problems the user may encounter during their stay.

[0236] Step 8:

[0237] The prompt to the generative AI model, "The user has reported feeling stressed; please suggest relaxing content," is used to select and provide the most suitable content to the user.

[0238] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating 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.

[0239] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0240] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0241] [Second Embodiment]

[0242] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0243] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0244] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0245] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0246] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0247] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0248] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0249] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0250] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0251] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0252] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0253] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. 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".

[0254] This invention is a comprehensive system for supporting users who wish to study abroad. This system consists of a server, terminals, and users who operate them. The embodiments for carrying out this invention are described in detail below.

[0255] The server receives basic information and preferences provided by the user. This includes data entered by the user via a web portal or dedicated application. This information is stored in a database and used as foundational data for AI analysis.

[0256] The server uses an AI algorithm to suggest the most suitable educational institutions based on accumulated user information. The AI ​​analyzes past data and evaluation information to generate personalized and optimal suggestions for each user. Users can view a list of suggested educational institutions on their device and select the one that best suits them.

[0257] For selected educational institutions, the server automatically initiates the application process. This includes features that allow the server to handle complex procedures such as preparing necessary documents, submitting electronic applications, and assisting with visa acquisition. The terminal displays the progress of the process in real time, allowing users to stay informed at all times.

[0258] Furthermore, if a user encounters any problems during their study abroad period, they can send a support request from their device. Based on this information, the server automatically notifies the relevant organizations of the problem according to a pre-registered protocol. This allows for a smooth and appropriate response.

[0259] Furthermore, after the study abroad period ends, the server uses the collected inquiry data and academic performance data to visualize the user's abilities and experience. This visualized data is provided to collaborating organizations to support users in obtaining new career and scholarship opportunities.

[0260] Thus, the system of the present invention can comprehensively handle information gathering, optimal recommendations, procedural assistance, troubleshooting, and career support after returning to Japan for those wishing to study abroad. For example, if a user wishes to study computer science in the United States, the system will suggest several universities in the U.S., automate the procedures, and handle everything from post-departure life support to career development after returning to Japan. As a result, users are freed from the complexities of procedures and are provided with an environment in which they can concentrate on their studies and cross-cultural experiences.

[0261] The following describes the processing flow.

[0262] Step 1:

[0263] Users enter basic information and desired conditions using their devices and access a dedicated application or web portal. This collects data such as the country, field of study, budget, and duration of study abroad.

[0264] Step 2:

[0265] The terminal sends the collected information to the server. The server receives this information and stores it in a database. The information is saved in a standardized format, preparing it for subsequent AI analysis.

[0266] Step 3:

[0267] The server uses an AI algorithm to identify the most suitable educational institution based on accumulated user information. The AI ​​generates a variety of options, taking into account factors such as evaluations of study abroad destinations, historical data, and cost information.

[0268] Step 4:

[0269] The server sends a list of optimal educational institutions, generated by AI, to the user's device. The user can then review the suggested options on their device and select the educational institution that best suits their needs.

[0270] Step 5:

[0271] After the user selects an educational institution, the server automatically initiates the corresponding application process. This includes preparing documents and applying for visas as needed.

[0272] Step 6:

[0273] The server notifies the terminal of the application process's progress in real time. Users can stay informed of the process's progress at all times and provide additional information when necessary.

[0274] Step 7:

[0275] If problems arise during their study abroad, users can submit support requests through their device.

[0276] Step 8:

[0277] The server automatically contacts the relevant organizations based on the received support request, communicates the details of the problem, and prompts them to take appropriate action.

[0278] Step 9:

[0279] The server visualizes users' abilities and experiences based on academic performance data and activity records collected after their study abroad program ends. This data is provided to collaborating organizations and used to help users develop their careers after returning to Japan.

[0280] (Example 1)

[0281] Next, we will describe Example 1. 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."

[0282] For users wishing to study abroad, it is necessary to find the most suitable educational institution, simplify and automate the application process, and provide comprehensive support during their stay and career assistance after their return. In such a complex process, an efficient and effective system is needed to reduce manual errors and alleviate the burden on users.

[0283] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0284] In this invention, the server includes means for collecting attribute information and desired conditions from the user, means for suggesting the most suitable educational facility using a machine learning model based on the information, and means for electronically automating the application process for the suggested educational facility. This makes it possible to suggest the most suitable educational institution to the user and to automate and support the application process.

[0285] The "user" refers to an individual who wishes to use the system to select a study abroad destination and complete the application procedures.

[0286] The "attribute information" refers to the basic data of the user, including information such as name, age, educational background, and desired major.

[0287] The "desired conditions" refer to the specific requirements and conditions that the user seeks for studying abroad, including information such as destination, budget, and duration.

[0288] The "server" is a central control device that receives the input data of the user, processes it, and provides the results.

[0289] The "machine learning model" is a program that analyzes a large amount of data and learns patterns, and is used to make optimal proposals.

[0290] The "educational institution" is a place of learning such as a university or a specialized institution that can be listed as a candidate for the study abroad destination.

[0291] The "application service" refers to the procedures required for studying abroad, including the preparation and submission of documents, visa applications, etc.

[0292] The "means for electronically automating" is a method of automatically performing a series of processes using the power of a computer in order to reduce manual work.

[0293] The present invention relates to an integrated system for assisting users who wish to study abroad. This system is composed of a server, a terminal, and a user. Also, various hardware and software are utilized to implement this.

[0294] The server receives attribute information and desired conditions from users and stores them in a database. Interface tools such as web forms and mobile applications are used in this process. For example, when a user enters information such as "Computer Science major, studying in the US, annual budget of $30,000," the data is immediately sent to the server.

[0295] Next, the server uses a machine learning model to identify and suggest the most suitable educational institutions. This analysis utilizes deep learning frameworks such as TensorFlow, performing analyses based on accumulated evaluation and cost information. As a result, users are presented with options such as "the top 5 universities in the United States."

[0296] The terminal provides this information to the user intuitively and features a user experience that allows for easy selection. The application process for selected educational institutions is automated electronically by the server using the "DocuSign API" and the "USCIS Online Platform."

[0297] Furthermore, if any problems arise during their studies abroad, users can request support from their device. This request is processed by the server, and the relevant organizations are automatically contacted via the SMTP protocol. This process ensures that users can receive support smoothly.

[0298] Upon returning home, the server visualizes the data collected during the stay and provides it to partner organizations using visualization tools such as Tableau. This allows users to receive support in finding new career opportunities or scholarships.

[0299] As a specific example, by inputting in the form of "Please propose the optimal study abroad destination for obtaining the degree desired by the user. Please consider the target countries, fields of study, and specific conditions." into the system prompt text, various options and supports can be obtained. As a result, even complex processes can proceed smoothly, and an environment is provided where users can concentrate on their studies and cross-cultural experiences with confidence.

[0300] The flow of the specific process in Example 1 will be described using FIG. 11.

[0301] Step 1:

[0302] The user uses a web portal or a dedicated app to input attribute information and desired conditions related to studying abroad. Specifically, data such as the field of study, country, budget, and length of stay are filled in a form, and the send button is pressed to send it to the server. The information entered is detailed in order to accurately reflect the individual needs of the user.

[0303] Step 2:

[0304] The server saves the information received from the user in a database. The information received as input is converted into JSON format and stored in the database, serving as the basic data for subsequent processing. At this time, a relational database such as "PostgreSQL" is used.

[0305] Step 3:

[0306] The server uses the collected information to activate a machine learning model and select the optimal educational institution. In this process, first, past evaluation information and cost information are referred to, and the educational institution that best matches the user's desired conditions is proposed. The accumulated data is used as data input, and data analysis and pattern recognition are performed by the machine learning model. As output, a list of optimal educational institutions is generated.

[0307] Step 4: [[ID=3​ The user reviews the list of educational institutions displayed on the device and selects the institution that best suits their needs. The device provides the user with options and sends the selected information to the server. Throughout this process, the user-friendly interface makes selection easy.

[0309] Step 5:

[0310] The server automates the application process to selected educational institutions. Selected institution and user information are used as input, and electronically signed documents and application forms are generated as output. Digital documents are created and processed using APIs such as "DocuSign API" and automatically sent to the target institutions.

[0311] Step 6:

[0312] The server receives support requests submitted by users during their stay and automatically contacts the relevant organizations. The input is a user request, and the output is trouble information sent to the relevant organizations using the SMTP protocol. This automated notification ensures prompt assistance.

[0313] Step 7:

[0314] After the user returns to their home country, the server analyzes and visualizes the information accumulated during their stay and provides it to the cooperating organization. Input data includes academic performance and evaluation data. The data is visualized using tools such as "Tableau," and the output provides analytical results for new career support. This allows the user to smoothly prepare for their next steps.

[0315] (Application Example 1)

[0316] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0317] Students hoping to study abroad face challenges in finding educational institutions that meet their needs and efficiently navigating complex application procedures. Furthermore, they require prompt support in case of problems during their stay abroad, and lack sufficient support to effectively utilize their study abroad experience upon returning home. Additionally, opportunities to receive personalized learning materials are limited.

[0318] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0319] In this invention, the server includes means for collecting basic information and desired conditions from the user, means for suggesting the most suitable educational institution, means for automating the application process for the suggested educational institution, means for automatically notifying relevant organizations and addressing any problems that arise during the stay, means for visualizing the user's abilities and experience after returning home and providing it to cooperating organizations, and means for delivering personalized learning materials based on the user's information processing terminal. This enables the user to conduct their study abroad program efficiently and effectively and make the most of their experience.

[0320] A "user" is an individual who wishes to study abroad and uses this system to gather information and complete application procedures.

[0321] "Basic information" refers to personal data such as the user's name, age, educational background, specialization, and language skills.

[0322] "Desired conditions" refer to the conditions that users expect from their study abroad institution, as well as their desired field of study, region, budget, and other preferences.

[0323] An "educational institution" refers to an institution that provides academic or skills education, such as a university, vocational school, or language school.

[0324] "Application procedures" refer to the official procedures required for studying abroad, such as applying for admission to an educational institution, obtaining a visa, and submitting necessary documents.

[0325] "Related organizations" refer to local public institutions and support groups that are required to respond when problems or troubles arise regarding studying abroad.

[0326] "Abilities and experience" refers to the skills, knowledge, and cultural experiences that the user acquires through education and daily life during their study abroad period.

[0327] A "partnering organization" refers to an organization that has partnered with this system for the purpose of providing education, career development, or support for students' life abroad.

[0328] "Information processing terminals" refer to electronic devices such as smartphones, tablets, and personal computers that are capable of inputting, outputting, and communicating information.

[0329] "Learning materials" refer to educational content provided by educational institutions, including teaching materials, videos, articles, and workbooks necessary for deepening knowledge.

[0330] To implement this invention, a system consisting of a server, an information processing terminal, and a user is designed.

[0331] The server first collects basic information and desired conditions from users via information processing terminals. This includes data entered by users through applications on the terminals, and the server securely stores this data in a database. For data analysis, an AI algorithm using Python and TensorFlow is used to suggest the most suitable educational institutions. In this process, past experience evaluation data and cost data are also considered as part of the analysis.

[0332] Users can review and select from multiple educational institutions proposed on the interface of their information processing terminal. The server system has the functionality to automatically proceed with the application process based on that selection. This includes filling out entry forms, electronically submitting required documents, and assisting with visa acquisition.

[0333] If a user encounters any problems during their stay, they can send a support request to the server from their device. The server then configures an automated system that sends problem information to the relevant organizations using programming languages ​​such as Swift or Java, according to the registered protocol. This allows for a quick and effective response.

[0334] Furthermore, upon returning home, the server uses the collected performance data and experience information to visualize the user's achievements and provides support to relevant organizations. This gives users the opportunity to explore new career options and scholarship opportunities.

[0335] As part of its learning management system, this system also has the function of delivering personalized educational content to users via information processing terminals. Based on an AI model, it automatically recommends videos and articles that correspond to the user's areas of interest and skills. As a concrete example of this function, when a high school student goes abroad to study a language, that student is individually provided with content that is useful for everyday conversation.

[0336] The generation of natural language content is also facilitated using generative AI models. An example of a prompt in this case would be, "Please provide relevant learning content based on the user's most suitable study abroad destination information." In this way, the entire system provides consistent support, enabling a smooth study abroad process.

[0337] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0338] Step 1:

[0339] The server receives basic user information and preferences transmitted from the terminal. The input consists of text information entered by the user through the application. The server stores this information in a database and compiles it as foundational data for subsequent AI analysis.

[0340] Step 2:

[0341] The server runs an AI model based on stored basic information and desired conditions to select the most suitable educational institution. The inputs here are user information and past evaluation data stored in the database. The output is a list of optimal educational institutions generated by the AI ​​model, which analyzes past data and considers evaluation metrics.

[0342] Step 3:

[0343] The server sends a list of suitable educational institutions to the terminal. This allows the user to view details of the suggested educational institutions on their terminal. The input is the list of educational institutions generated in step 2, and the output is the display on the terminal.

[0344] Step 4:

[0345] The server automatically handles the application process for the educational institution selected by the user. The user inputs their selection information from their terminal, and based on this, the server generates the necessary documents and submits the electronic application to the relevant institutions. The output is a notification that the application has been completed.

[0346] Step 5:

[0347] If a problem occurs during their stay, the user sends a support request to the server using their device. The input is request data from the device, including details of the problem. The server automatically sends relevant information to the appropriate organizations according to a pre-configured protocol. The output is the commencement of the resolution process and notification to the relevant organizations.

[0348] Step 6:

[0349] The server visualizes the academic performance and experiences gained during the study abroad period. The input consists of academic and lifestyle data accumulated during the period. The server analyzes this data and generates a visual report to evaluate the user's abilities and experiences. The output is an evaluation report provided to collaborating organizations.

[0350] Step 7:

[0351] The server utilizes a generative AI model to automatically deliver learning materials tailored to the user to their device. The input here consists of data about the user's interests and learning history, which the AI ​​uses to select appropriate educational content. The output is personalized learning videos and articles provided on the device.

[0352] Through the steps outlined above, this system provides comprehensive support to prospective students, enabling them to enrich their learning and daily lives.

[0353] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0354] This invention provides enhanced support to users who wish to study abroad by combining an emotion engine with a system designed to assist them. This system consists of a server, terminals, and an emotion engine, and the integrated functioning of these components streamlines the entire study abroad process for users.

[0355] The server receives the user's basic information and preferences. This data is stored in a database and used as foundational data for AI analysis. The terminal is responsible for transmitting the information entered by the user to the server, thereby facilitating the smooth flow of information.

[0356] The AI ​​algorithm within the system operates on a server and identifies the most suitable educational institution for the user from accumulated data. The AI ​​analyzes past evaluation and cost data to generate and suggest the best options for the user. The terminal receives these results and presents them to the user.

[0357] The emotion engine is installed in the device and analyzes user input data and activity logs in real time. This analysis is performed to estimate the user's emotional state and monitor stress and anxiety levels. For example, if a user is experiencing stress due to prolonged data entry, the system can detect this through the emotion engine and provide alerts or appropriate information via the server.

[0358] Furthermore, the emotion engine dynamically adjusts the information and suggestions provided based on the user's emotional state. For example, when a user is feeling stressed, information and support that promotes relaxation will be displayed. This ensures that users always receive support optimized for their individual needs.

[0359] The application process is automated and directed to the educational institution selected by the user. The server manages the entire process, including preparing necessary documents and submitting electronic applications. Users can monitor the progress of the application in real time via their terminal and receive feedback from an emotional engine, allowing them to proceed with confidence.

[0360] This invention, through its series of functions, comprehensively provides prospective students with information gathering, optimal recommendations, procedural assistance, troubleshooting, and post-return career support, as well as emotional support through monitoring their emotional state. As a result, users are freed from the complexities of procedures and provided with an environment where they can concentrate on their studies and cross-cultural experiences. For example, if a user wishes to study art in France, the system will suggest appropriate educational institutions in France, and the emotional engine will provide support to maintain the user's motivation.

[0361] The following describes the processing flow.

[0362] Step 1:

[0363] The user enters basic information and desired conditions using the device. This includes information such as the desired country of study, field of study, and budget. This information is collected by an emotion engine built into the device, while monitoring the user's emotional state.

[0364] Step 2:

[0365] The device sends the collected information and sentiment data to the server. The server stores this information in a database and prepares it for use as basic data for analysis.

[0366] Step 3:

[0367] The server activates an AI algorithm to identify the most suitable educational institution for the user based on accumulated information. In this process, the server analyzes evaluation data and cost big data to generate candidates.

[0368] Step 4:

[0369] The server sends a list of optimal educational institutions generated by AI to the device. The device displays the suggested options to the user and presents choices. The user selects the educational institution that interests them most from the list.

[0370] Step 5:

[0371] Based on the user's selection, the server automatically initiates the application process. It manages the preparation of documents, the creation of formalized application forms, and the visa application process, efficiently handling all aspects of the process.

[0372] Step 6:

[0373] The device uses an emotion engine to continuously monitor the user's emotional state during the application process. If stress or anxiety is detected, appropriate support and relaxation information are immediately provided via the server.

[0374] Step 7:

[0375] If a problem occurs during their study abroad, the user can submit a support request through their device. This request will also include emotional data detected by the emotion engine.

[0376] Step 8:

[0377] The server analyzes received support requests and automatically notifies the relevant organizations. This notification includes information necessary to understand the situation, enabling a swift response.

[0378] Step 9:

[0379] After the study abroad program ends, the server visualizes the user's abilities and experience based on collected emotional and academic data. This data is provided to collaborating organizations to support the user's career advancement. The terminal then presents the user with new opportunities through this information.

[0380] (Example 2)

[0381] Next, we will describe Example 2. 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".

[0382] For users who wish to study abroad, it is necessary to provide a comprehensive service that includes suggesting the most suitable learning institutions, automating the application process, handling assignments during their stay, and managing their emotional state, thereby creating an environment where users can be freed from the burden of procedures and stress, and can confidently realize their study abroad goals.

[0383] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0384] In this invention, the server includes means for collecting basic data and desired conditions from the user, means for suggesting the optimal learning institution, and means for analyzing the user's emotional state in real time using an emotion engine and dynamically adjusting the information provided based on that state. This makes it possible to propose the optimal learning environment for the user, and to efficiently and comfortably realize the entire process from application to stay and after returning home.

[0385] "Basic data" refers to personal information about the user and their desired conditions regarding studying abroad.

[0386] "Learning institution" refers to an educational institution, school, university, or other place of learning that is considered as a destination for studying abroad.

[0387] "Application processing" refers to the series of procedures involved in applying to a learning institution selected by the user, including the submission of necessary documents and registration procedures.

[0388] "Related departments" refers to organizations or institutions involved in resolving problems that may arise during the user's study abroad period.

[0389] An "emotional engine" refers to a technology that analyzes the user's emotional state and adjusts the system's operation based on that analysis.

[0390] "Real-time analysis" refers to analyzing data as soon as it is generated and immediately performing appropriate processing based on the results.

[0391] A "protocol" refers to a set of standardized rules and procedures used for transmitting information.

[0392] "Dynamic adjustment" refers to modifying the content provided and taking appropriate action based on the immediate situation and conditions.

[0393] This invention provides a system that offers integrated support to users who wish to study abroad. This system incorporates a server, terminals, and an emotion engine, with each component working in coordination.

[0394] The server receives basic data and desired conditions from the user and stores them in a database. This data is then used as foundational data for analysis using a generative AI model. By analyzing past evaluation data and cost data, the AI ​​model identifies and proposes the most suitable learning institution for the user.

[0395] The terminal sends the information entered by the user to the server, and the server then presents the user with a list of the most suitable learning institutions. Based on these results, the user can view detailed information about the candidate learning institutions.

[0396] The emotion engine is built into the device and analyzes user input data and activity logs in real time. This analysis determines the user's emotional state. For example, if the user feels tired after prolonged use, the system will detect this and provide appropriate alerts or relaxation information.

[0397] The application process is managed by a server and automatically proceeds to the learning institution selected by the user. The server generates the necessary documents and processes the electronic application, and notifies the user of the progress via the terminal.

[0398] This reduces the burden on users from procedures and information gathering, allowing them to make decisions about studying abroad effectively and comfortably. For example, a user can perform a search using a prompt such as, "If I want to study art in France, please suggest suitable learning institutions and provide emotional support to maintain my motivation." In this way, the present invention provides users with an optimal learning environment and emotional support.

[0399] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0400] Step 1:

[0401] The user uses a terminal to enter basic data and desired conditions. This includes providing their name, destination, desired field of study, and study period. The terminal collects this input data and sends it to the server.

[0402] Step 2:

[0403] The server stores the data received from the terminal in a database. This data serves as the foundational data for the generating AI model to perform analysis. The server verifies the received data, processes it in the required format, and saves it.

[0404] Step 3:

[0405] The server runs a generative AI model, analyzing user data, historical evaluation data, and cost data stored in the database. Based on the input conditions, the AI ​​model identifies the most suitable learning institution for the user. As a result of the analysis, a list of learning institutions is generated.

[0406] Step 4:

[0407] The server sends the generated list of learning institutions to the terminal. The terminal presents the results to the user and displays detailed information about each learning institution. At this time, the user can compare and consider the presented options.

[0408] Step 5:

[0409] The user selects their preferred learning institution from the presented options. The device then sends this selection to the server.

[0410] Step 6:

[0411] The server initiates the application process to the selected learning institution. It automatically generates the necessary documents and submits the application electronically. The server proceeds with the process according to the protocol and updates the application status in the database.

[0412] Step 7:

[0413] The terminal notifies the user of the progress of the application process in real time. Furthermore, an emotion engine monitors the user's stress and emotions, providing relaxation information and alerts as needed. This allows the user to proceed with the process with peace of mind.

[0414] (Application Example 2)

[0415] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0416] Students hoping to study abroad face various challenges, including selecting an educational institution, completing procedures, and dealing with problems during their stay. However, a major issue is the psychological burden and lack of adequate information provided during these processes. Furthermore, the lack of content tailored to students' moods and interests can easily lead to monotonous study abroad experiences.

[0417] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0418] In this invention, the server includes means for collecting attribute information and desired conditions from the user, means for suggesting the most suitable educational institution based on the information, and means for automating the application process for the suggested educational institution. This reduces the psychological burden on the user and enables the provision of content based on their emotional state to enrich their study abroad experience.

[0419] A "user" is an individual who wishes to study abroad using this system.

[0420] "Attribute information" refers to basic data or characteristics about individual users.

[0421] "Desired conditions" refer to the specific requirements or wishes that the user hopes to fulfill during their study abroad experience.

[0422] An "educational institution" is an institution where students can study or conduct research, and which they choose as their study abroad destination.

[0423] "Application procedures" refer to all the necessary steps for applying for admission or participation in an educational institution.

[0424] "Related organizations" refer to cooperating groups or organizations that help address problems that may arise during your studies abroad.

[0425] An "organization" is an organization that accepts and utilizes the experiences and abilities of its users.

[0426] "Emotional state" refers to the user's feelings and mental state, including their level of stress and relaxation.

[0427] "Content" refers to the information and entertainment provided to users.

[0428] This invention streamlines the user's study abroad process and provides emotional support using a system equipped with a server, terminal, and emotion engine. The server stores attribute information and desired conditions collected from the user in a database. Based on this, an AI algorithm running on the server analyzes past user evaluation data and economic data based on the accumulated data and proposes the most suitable educational institution for the user.

[0429] The terminal transmits information entered by the user to the server and also presents the user with suggested options and the progress of the application process. Furthermore, an emotion engine is installed in the terminal, which analyzes the user's input data and activity logs in real time. This allows the system to monitor the user's emotional state, estimate stress and anxiety levels, and dynamically adjust the information provided and suggestions.

[0430] For example, when a user is feeling stressed, in addition to educational institution procedures, relaxing content such as healing music and cultural information is presented. Furthermore, the server automatically notifies relevant institutions of any issues during the user's stay, facilitating quick problem resolution.

[0431] For example, if a user wishes to study in France, the system will suggest suitable educational institutions in France and automate the application process to ensure a smooth flow. If the user feels anxious, tailored support and entertainment will be provided.

[0432] In utilizing generative AI models, an example of a prompt message could be: "The user has reported feeling stressed; please suggest relaxing content."

[0433] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0434] Step 1:

[0435] The user enters attribute information and desired conditions into the terminal. This data is sent from the terminal to the server. The entered data represents the user's basic attributes and desired conditions and forms the basis for analysis in the next stage.

[0436] Step 2:

[0437] The server stores the transmitted data in its database. At this stage, the server receives the user's attribute information and preferences, and uses this information to prepare to identify the most suitable educational institutions.

[0438] Step 3:

[0439] An AI algorithm running on the server analyzes past user evaluation data and economic data accumulated from a database. This analysis generates the most suitable educational institution options for the user. The AI ​​learns patterns in the data and identifies the option that best matches the user's requirements.

[0440] Step 4:

[0441] The generated list of educational institution options is sent from the server to the terminal and presented to the user. The user can then review this information and make the most suitable choice.

[0442] Step 5:

[0443] The application process related to the educational institution selected by the user is automatically managed by the server. The server prepares the necessary documents, submits the electronic application, and reports the progress to the user's terminal in real time.

[0444] Step 6:

[0445] The device is equipped with an emotion engine that analyzes user input data and activity logs in real time. This analysis estimates the user's emotional state and provides appropriate content based on their stress level. Specifically, if the user is feeling stressed, it suggests content that promotes relaxation.

[0446] Step 7:

[0447] The server receives analysis results from the emotion engine based on the user's emotional state and automatically sends notifications to relevant organizations as needed. This allows for a quick response to any problems the user may encounter during their stay.

[0448] Step 8:

[0449] The prompt to the generative AI model, "The user has reported feeling stressed; please suggest relaxing content," is used to select and provide the most suitable content to the user.

[0450] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0451] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0452] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0453] [Third Embodiment]

[0454] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0455] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0456] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0457] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0458] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0459] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0460] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0461] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0462] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0463] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0464] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0465] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0466] This invention is a comprehensive system for supporting users who wish to study abroad. This system consists of a server, terminals, and users who operate them. The embodiments for carrying out this invention are described in detail below.

[0467] The server receives basic information and preferences provided by the user. This includes data entered by the user via a web portal or dedicated application. This information is stored in a database and used as foundational data for AI analysis.

[0468] The server uses an AI algorithm to suggest the most suitable educational institutions based on accumulated user information. The AI ​​analyzes past data and evaluation information to generate personalized and optimal suggestions for each user. Users can view a list of suggested educational institutions on their device and select the one that best suits them.

[0469] For selected educational institutions, the server automatically initiates the application process. This includes features that allow the server to handle complex procedures such as preparing necessary documents, submitting electronic applications, and assisting with visa acquisition. The terminal displays the progress of the process in real time, allowing users to stay informed at all times.

[0470] Furthermore, if a user encounters any problems during their study abroad period, they can send a support request from their device. Based on this information, the server automatically notifies the relevant organizations of the problem according to a pre-registered protocol. This allows for a smooth and appropriate response.

[0471] Furthermore, after the study abroad period ends, the server uses the collected inquiry data and academic performance data to visualize the user's abilities and experience. This visualized data is provided to collaborating organizations to support users in obtaining new career and scholarship opportunities.

[0472] Thus, the system of the present invention can comprehensively handle information gathering, optimal recommendations, procedural assistance, troubleshooting, and career support after returning to Japan for those wishing to study abroad. For example, if a user wishes to study computer science in the United States, the system will suggest several universities in the U.S., automate the procedures, and handle everything from post-departure life support to career development after returning to Japan. As a result, users are freed from the complexities of procedures and are provided with an environment in which they can concentrate on their studies and cross-cultural experiences.

[0473] The following describes the processing flow.

[0474] Step 1:

[0475] Users enter basic information and desired conditions using their devices and access a dedicated application or web portal. This collects data such as the country, field of study, budget, and duration of study abroad.

[0476] Step 2:

[0477] The terminal sends the collected information to the server. The server receives this information and stores it in a database. The information is saved in a standardized format, preparing it for subsequent AI analysis.

[0478] Step 3:

[0479] The server uses an AI algorithm to identify the most suitable educational institution based on accumulated user information. The AI ​​generates a variety of options, taking into account factors such as evaluations of study abroad destinations, historical data, and cost information.

[0480] Step 4:

[0481] The server sends a list of optimal educational institutions, generated by AI, to the user's device. The user can then review the suggested options on their device and select the educational institution that best suits their needs.

[0482] Step 5:

[0483] After the user selects an educational institution, the server automatically initiates the corresponding application process. This includes preparing documents and applying for visas as needed.

[0484] Step 6:

[0485] The server notifies the terminal of the application process's progress in real time. Users can stay informed of the process's progress at all times and provide additional information when necessary.

[0486] Step 7:

[0487] If problems arise during their study abroad, users can submit support requests through their device.

[0488] Step 8:

[0489] The server automatically contacts the relevant organizations based on the received support request, communicates the details of the problem, and prompts them to take appropriate action.

[0490] Step 9:

[0491] The server visualizes users' abilities and experiences based on academic performance data and activity records collected after their study abroad program ends. This data is provided to collaborating organizations and used to help users develop their careers after returning to Japan.

[0492] (Example 1)

[0493] Next, we will describe Example 1. 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."

[0494] For users wishing to study abroad, it is necessary to find the most suitable educational institution, simplify and automate the application process, and provide comprehensive support during their stay and career assistance after their return. In such a complex process, an efficient and effective system is needed to reduce manual errors and alleviate the burden on users.

[0495] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0496] In this invention, the server includes means for collecting attribute information and desired conditions from the user, means for suggesting the most suitable educational facility using a machine learning model based on the information, and means for electronically automating the application process for the suggested educational facility. This makes it possible to suggest the most suitable educational institution to the user and to automate and support the application process.

[0497] A "user" is an individual who wishes to use the system to select a study abroad destination or complete the application process.

[0498] "Attribute information" refers to the user's basic data, including information such as name, age, educational background, and desired major.

[0499] "Desired conditions" refer to the specific requirements and conditions that the user seeks regarding studying abroad, including information such as destination, budget, and duration.

[0500] A "server" is a central control unit that receives user input data, processes it, and provides the results.

[0501] A "machine learning model" is a program that analyzes vast amounts of data and learns patterns, and is used to make optimal suggestions.

[0502] "Educational institutions" refer to places of learning such as universities and specialized institutions that are considered potential study abroad destinations.

[0503] "Application procedures" refer to the procedures required for studying abroad, including preparing and submitting documents, and applying for a visa.

[0504] "Means of electronic automation" refers to methods of using the power of computers to automatically perform a series of processes in order to reduce manual labor.

[0505] This invention relates to a comprehensive system that supports users who wish to study abroad. This system consists of servers, terminals, and users. Furthermore, various hardware and software are utilized to implement it.

[0506] The server receives attribute information and desired conditions from users and stores them in a database. Interface tools such as web forms and mobile applications are used in this process. For example, when a user enters information such as "Computer Science major, studying in the US, annual budget of $30,000," the data is immediately sent to the server.

[0507] Next, the server uses a machine learning model to identify and suggest the most suitable educational institutions. This analysis utilizes deep learning frameworks such as TensorFlow, performing analyses based on accumulated evaluation and cost information. As a result, users are presented with options such as "the top 5 universities in the United States."

[0508] The terminal provides this information to the user intuitively and features a user experience that allows for easy selection. The application process for selected educational institutions is automated electronically by the server using the "DocuSign API" and the "USCIS Online Platform."

[0509] Furthermore, if any problems arise during their studies abroad, users can request support from their device. This request is processed by the server, and the relevant organizations are automatically contacted via the SMTP protocol. This process ensures that users can receive support smoothly.

[0510] Upon returning home, the server visualizes the data collected during the stay and provides it to partner organizations using visualization tools such as Tableau. This allows users to receive support in finding new career opportunities or scholarships.

[0511] For example, by entering a prompt message in the system such as, "Please suggest the best study abroad destination for the user to obtain their desired degree. Please consider the target country, field of study, and specific conditions," users can obtain a variety of options and support. This allows even complex processes to proceed smoothly, providing users with an environment where they can focus on their studies and cross-cultural experiences with peace of mind.

[0512] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0513] Step 1:

[0514] Users enter their personal information and desired conditions for studying abroad using a web portal or a dedicated app. Specifically, they fill in data such as their major, country, budget, and length of stay in a form and send it to the server by pressing the submit button. The information entered is detailed to accurately reflect the individual needs of the user.

[0515] Step 2:

[0516] The server stores the information received from the user in a database. The information received as input is converted to JSON format and stored in the database, becoming the basic data for subsequent processing. In this case, a relational database such as "PostgreSQL" is used.

[0517] Step 3:

[0518] The server uses the collected information to activate a machine learning model and select the most suitable educational institution. This process first refers to past evaluation and cost information to propose the educational institution that best matches the user's desired conditions. The accumulated data is used as input, and the machine learning model performs data analysis and pattern recognition. The output is a list of the most suitable educational institutions.

[0519] Step 4:

[0520] The user reviews the list of educational institutions displayed on the device and selects the institution that best suits their needs. The device provides the user with options and sends the selected information to the server. Throughout this process, the user-friendly interface makes selection easy.

[0521] Step 5:

[0522] The server automates the application process to selected educational institutions. Selected institution and user information are used as input, and electronically signed documents and application forms are generated as output. Digital documents are created and processed using APIs such as "DocuSign API" and automatically sent to the target institutions.

[0523] Step 6:

[0524] The server receives support requests submitted by users during their stay and automatically contacts the relevant organizations. The input is a user request, and the output is trouble information sent to the relevant organizations using the SMTP protocol. This automated notification ensures prompt assistance.

[0525] Step 7:

[0526] After the user returns to their home country, the server analyzes and visualizes the information accumulated during their stay and provides it to the cooperating organization. Input data includes academic performance and evaluation data. The data is visualized using tools such as "Tableau," and the output provides analytical results for new career support. This allows the user to smoothly prepare for their next steps.

[0527] (Application Example 1)

[0528] Next, we will explain Application Example 1. In the following explanation, 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."

[0529] Students hoping to study abroad face challenges in finding educational institutions that meet their needs and efficiently navigating complex application procedures. Furthermore, they require prompt support in case of problems during their stay abroad, and lack sufficient support to effectively utilize their study abroad experience upon returning home. Additionally, opportunities to receive personalized learning materials are limited.

[0530] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0531] In this invention, the server includes means for collecting basic information and desired conditions from the user, means for suggesting the most suitable educational institution, means for automating the application process for the suggested educational institution, means for automatically notifying relevant organizations and addressing any problems that arise during the stay, means for visualizing the user's abilities and experience after returning home and providing it to cooperating organizations, and means for delivering personalized learning materials based on the user's information processing terminal. This enables the user to conduct their study abroad program efficiently and effectively and make the most of their experience.

[0532] A "user" is an individual who wishes to study abroad and uses this system to gather information and complete application procedures.

[0533] "Basic information" refers to personal data such as the user's name, age, educational background, specialization, and language skills.

[0534] "Desired conditions" refer to the conditions that users expect from their study abroad institution, as well as their desired field of study, region, budget, and other preferences.

[0535] An "educational institution" refers to an institution that provides academic or skills education, such as a university, vocational school, or language school.

[0536] "Application procedures" refer to the official procedures required for studying abroad, such as applying for admission to an educational institution, obtaining a visa, and submitting necessary documents.

[0537] "Related organizations" refer to local public institutions and support groups that are required to respond when problems or troubles arise regarding studying abroad.

[0538] "Abilities and experience" refers to the skills, knowledge, and cultural experiences that the user acquires through education and daily life during their study abroad period.

[0539] A "partnering organization" refers to an organization that has partnered with this system for the purpose of providing education, career development, or support for students' life abroad.

[0540] "Information processing terminals" refer to electronic devices such as smartphones, tablets, and personal computers that are capable of inputting, outputting, and communicating information.

[0541] "Learning materials" refer to educational content provided by educational institutions, including teaching materials, videos, articles, and workbooks necessary for deepening knowledge.

[0542] To implement this invention, a system consisting of a server, an information processing terminal, and a user is designed.

[0543] The server first collects basic information and desired conditions from users via information processing terminals. This includes data entered by users through applications on the terminals, and the server securely stores this data in a database. For data analysis, an AI algorithm using Python and TensorFlow is used to suggest the most suitable educational institutions. In this process, past experience evaluation data and cost data are also considered as part of the analysis.

[0544] Users can review and select from multiple educational institutions proposed on the interface of their information processing terminal. The server system has the functionality to automatically proceed with the application process based on that selection. This includes filling out entry forms, electronically submitting required documents, and assisting with visa acquisition.

[0545] If a user encounters any problems during their stay, they can send a support request to the server from their device. The server then configures an automated system that sends problem information to the relevant organizations using programming languages ​​such as Swift or Java, according to the registered protocol. This allows for a quick and effective response.

[0546] Furthermore, upon returning home, the server uses the collected performance data and experience information to visualize the user's achievements and provides support to relevant organizations. This gives users the opportunity to explore new career options and scholarship opportunities.

[0547] As part of its learning management system, this system also has the function of delivering personalized educational content to users via information processing terminals. Based on an AI model, it automatically recommends videos and articles that correspond to the user's areas of interest and skills. As a concrete example of this function, when a high school student goes abroad to study a language, that student is individually provided with content that is useful for everyday conversation.

[0548] The generation of natural language content is also facilitated using generative AI models. An example of a prompt in this case would be, "Please provide relevant learning content based on the user's most suitable study abroad destination information." In this way, the entire system provides consistent support, enabling a smooth study abroad process.

[0549] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0550] Step 1:

[0551] The server receives basic user information and preferences transmitted from the terminal. The input consists of text information entered by the user through the application. The server stores this information in a database and compiles it as foundational data for subsequent AI analysis.

[0552] Step 2:

[0553] The server runs an AI model based on stored basic information and desired conditions to select the most suitable educational institution. The inputs here are user information and past evaluation data stored in the database. The output is a list of optimal educational institutions generated by the AI ​​model, which analyzes past data and considers evaluation metrics.

[0554] Step 3:

[0555] The server sends a list of suitable educational institutions to the terminal. This allows the user to view details of the suggested educational institutions on their terminal. The input is the list of educational institutions generated in step 2, and the output is the display on the terminal.

[0556] Step 4:

[0557] The server automatically handles the application process for the educational institution selected by the user. The user inputs their selection information from their terminal, and based on this, the server generates the necessary documents and submits the electronic application to the relevant institutions. The output is a notification that the application has been completed.

[0558] Step 5:

[0559] If a problem occurs during their stay, the user sends a support request to the server using their device. The input is request data from the device, including details of the problem. The server automatically sends relevant information to the appropriate organizations according to a pre-configured protocol. The output is the commencement of the resolution process and notification to the relevant organizations.

[0560] Step 6:

[0561] The server visualizes the academic performance and experiences gained during the study abroad period. The input consists of academic and lifestyle data accumulated during the period. The server analyzes this data and generates a visual report to evaluate the user's abilities and experiences. The output is an evaluation report provided to collaborating organizations.

[0562] Step 7:

[0563] The server utilizes a generative AI model to automatically deliver learning materials tailored to the user to their device. The input here consists of data about the user's interests and learning history, which the AI ​​uses to select appropriate educational content. The output is personalized learning videos and articles provided on the device.

[0564] Through the steps outlined above, this system provides comprehensive support to prospective students, enabling them to enrich their learning and daily lives.

[0565] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0566] This invention provides enhanced support to users who wish to study abroad by combining an emotion engine with a system designed to assist them. This system consists of a server, terminals, and an emotion engine, and the integrated functioning of these components streamlines the entire study abroad process for users.

[0567] The server receives the user's basic information and preferences. This data is stored in a database and used as foundational data for AI analysis. The terminal is responsible for transmitting the information entered by the user to the server, thereby facilitating the smooth flow of information.

[0568] The AI ​​algorithm within the system operates on a server and identifies the most suitable educational institution for the user from accumulated data. The AI ​​analyzes past evaluation and cost data to generate and suggest the best options for the user. The terminal receives these results and presents them to the user.

[0569] The emotion engine is installed in the device and analyzes user input data and activity logs in real time. This analysis is performed to estimate the user's emotional state and monitor stress and anxiety levels. For example, if a user is experiencing stress due to prolonged data entry, the system can detect this through the emotion engine and provide alerts or appropriate information via the server.

[0570] Furthermore, the emotion engine dynamically adjusts the information and suggestions provided based on the user's emotional state. For example, when a user is feeling stressed, information and support that promotes relaxation will be displayed. This ensures that users always receive support optimized for their individual needs.

[0571] The application process is automated and directed to the educational institution selected by the user. The server manages the entire process, including preparing necessary documents and submitting electronic applications. Users can monitor the progress of the application in real time via their terminal and receive feedback from an emotional engine, allowing them to proceed with confidence.

[0572] This invention, through its series of functions, comprehensively provides prospective students with information gathering, optimal recommendations, procedural assistance, troubleshooting, and post-return career support, as well as emotional support through monitoring their emotional state. As a result, users are freed from the complexities of procedures and provided with an environment where they can concentrate on their studies and cross-cultural experiences. For example, if a user wishes to study art in France, the system will suggest appropriate educational institutions in France, and the emotional engine will provide support to maintain the user's motivation.

[0573] The following describes the processing flow.

[0574] Step 1:

[0575] The user enters basic information and desired conditions using the device. This includes information such as the desired country of study, field of study, and budget. This information is collected by an emotion engine built into the device, while monitoring the user's emotional state.

[0576] Step 2:

[0577] The device sends the collected information and sentiment data to the server. The server stores this information in a database and prepares it for use as basic data for analysis.

[0578] Step 3:

[0579] The server activates an AI algorithm to identify the most suitable educational institution for the user based on accumulated information. In this process, the server analyzes evaluation data and cost big data to generate candidates.

[0580] Step 4:

[0581] The server sends a list of optimal educational institutions generated by AI to the device. The device displays the suggested options to the user and presents choices. The user selects the educational institution that interests them most from the list.

[0582] Step 5:

[0583] Based on the user's selection, the server automatically initiates the application process. It manages the preparation of documents, the creation of formalized application forms, and the visa application process, efficiently handling all aspects of the process.

[0584] Step 6:

[0585] The device uses an emotion engine to continuously monitor the user's emotional state during the application process. If stress or anxiety is detected, appropriate support and relaxation information are immediately provided via the server.

[0586] Step 7:

[0587] If a problem occurs during their study abroad, the user can submit a support request through their device. This request will also include emotional data detected by the emotion engine.

[0588] Step 8:

[0589] The server analyzes received support requests and automatically notifies the relevant organizations. This notification includes information necessary to understand the situation, enabling a swift response.

[0590] Step 9:

[0591] After the study abroad program ends, the server visualizes the user's abilities and experience based on collected emotional and academic data. This data is provided to collaborating organizations to support the user's career advancement. The terminal then presents the user with new opportunities through this information.

[0592] (Example 2)

[0593] Next, we will describe Example 2. 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."

[0594] For users who wish to study abroad, it is necessary to provide a comprehensive service that includes suggesting the most suitable learning institutions, automating the application process, handling assignments during their stay, and managing their emotional state, thereby creating an environment where users can be freed from the burden of procedures and stress, and can confidently realize their study abroad goals.

[0595] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0596] In this invention, the server includes means for collecting basic data and desired conditions from the user, means for suggesting the optimal learning institution, and means for analyzing the user's emotional state in real time using an emotion engine and dynamically adjusting the information provided based on that state. This makes it possible to propose the optimal learning environment for the user, and to efficiently and comfortably realize the entire process from application to stay and after returning home.

[0597] "Basic data" refers to personal information about the user and their desired conditions regarding studying abroad.

[0598] "Learning institution" refers to an educational institution, school, university, or other place of learning that is considered as a destination for studying abroad.

[0599] "Application processing" refers to the series of procedures involved in applying to a learning institution selected by the user, including the submission of necessary documents and registration procedures.

[0600] "Related departments" refers to organizations or institutions involved in resolving problems that may arise during the user's study abroad period.

[0601] An "emotional engine" refers to a technology that analyzes the user's emotional state and adjusts the system's operation based on that analysis.

[0602] "Real-time analysis" refers to analyzing data as soon as it is generated and immediately performing appropriate processing based on the results.

[0603] A "protocol" refers to a set of standardized rules and procedures used for transmitting information.

[0604] "Dynamic adjustment" refers to modifying the content provided and taking appropriate action based on the immediate situation and conditions.

[0605] This invention provides a system that offers integrated support to users who wish to study abroad. This system incorporates a server, terminals, and an emotion engine, with each component working in coordination.

[0606] The server receives basic data and desired conditions from the user and stores them in a database. This data is then used as foundational data for analysis using a generative AI model. By analyzing past evaluation data and cost data, the AI ​​model identifies and proposes the most suitable learning institution for the user.

[0607] The terminal sends the information entered by the user to the server, and the server then presents the user with a list of the most suitable learning institutions. Based on these results, the user can view detailed information about the candidate learning institutions.

[0608] The emotion engine is built into the device and analyzes user input data and activity logs in real time. This analysis determines the user's emotional state. For example, if the user feels tired after prolonged use, the system will detect this and provide appropriate alerts or relaxation information.

[0609] The application process is managed by a server and automatically proceeds to the learning institution selected by the user. The server generates the necessary documents and processes the electronic application, and notifies the user of the progress via the terminal.

[0610] This reduces the burden on users from procedures and information gathering, allowing them to make decisions about studying abroad effectively and comfortably. For example, a user can perform a search using a prompt such as, "If I want to study art in France, please suggest suitable learning institutions and provide emotional support to maintain my motivation." In this way, the present invention provides users with an optimal learning environment and emotional support.

[0611] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0612] Step 1:

[0613] The user uses a terminal to enter basic data and desired conditions. This includes providing their name, destination, desired field of study, and study period. The terminal collects this input data and sends it to the server.

[0614] Step 2:

[0615] The server stores the data received from the terminal in a database. This data serves as the foundational data for the generating AI model to perform analysis. The server verifies the received data, processes it in the required format, and saves it.

[0616] Step 3:

[0617] The server runs a generative AI model, analyzing user data, historical evaluation data, and cost data stored in the database. Based on the input conditions, the AI ​​model identifies the most suitable learning institution for the user. As a result of the analysis, a list of learning institutions is generated.

[0618] Step 4:

[0619] The server sends the generated list of learning institutions to the terminal. The terminal presents the results to the user and displays detailed information about each learning institution. At this time, the user can compare and consider the presented options.

[0620] Step 5:

[0621] The user selects their preferred learning institution from the presented options. The device then sends this selection to the server.

[0622] Step 6:

[0623] The server initiates the application process to the selected learning institution. It automatically generates the necessary documents and submits the application electronically. The server proceeds with the process according to the protocol and updates the application status in the database.

[0624] Step 7:

[0625] The terminal notifies the user of the progress of the application process in real time. Furthermore, an emotion engine monitors the user's stress and emotions, providing relaxation information and alerts as needed. This allows the user to proceed with the process with peace of mind.

[0626] (Application Example 2)

[0627] Next, we will explain application example 2. In the following explanation, 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."

[0628] Students hoping to study abroad face various challenges, including selecting an educational institution, completing procedures, and dealing with problems during their stay. However, a major issue is the psychological burden and lack of adequate information provided during these processes. Furthermore, the lack of content tailored to students' moods and interests can easily lead to monotonous study abroad experiences.

[0629] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0630] In this invention, the server includes means for collecting attribute information and desired conditions from the user, means for suggesting the most suitable educational institution based on the information, and means for automating the application process for the suggested educational institution. This reduces the psychological burden on the user and enables the provision of content based on their emotional state to enrich their study abroad experience.

[0631] A "user" is an individual who wishes to study abroad using this system.

[0632] "Attribute information" refers to basic data or characteristics about individual users.

[0633] "Desired conditions" refer to the specific requirements or wishes that the user hopes to fulfill during their study abroad experience.

[0634] An "educational institution" is an institution where students can study or conduct research, and which they choose as their study abroad destination.

[0635] "Application procedures" refer to all the necessary steps for applying for admission or participation in an educational institution.

[0636] "Related organizations" refer to cooperating groups or organizations that help address problems that may arise during your studies abroad.

[0637] An "organization" is an organization that accepts and utilizes the experiences and abilities of its users.

[0638] "Emotional state" refers to the user's feelings and mental state, including their level of stress and relaxation.

[0639] "Content" refers to the information and entertainment provided to users.

[0640] This invention streamlines the user's study abroad process and provides emotional support using a system equipped with a server, terminal, and emotion engine. The server stores attribute information and desired conditions collected from the user in a database. Based on this, an AI algorithm running on the server analyzes past user evaluation data and economic data based on the accumulated data and proposes the most suitable educational institution for the user.

[0641] The terminal transmits information entered by the user to the server and also presents the user with suggested options and the progress of the application process. Furthermore, an emotion engine is installed in the terminal, which analyzes the user's input data and activity logs in real time. This allows the system to monitor the user's emotional state, estimate stress and anxiety levels, and dynamically adjust the information provided and suggestions.

[0642] For example, when a user is feeling stressed, in addition to educational institution procedures, relaxing content such as healing music and cultural information is presented. Furthermore, the server automatically notifies relevant institutions of any issues during the user's stay, facilitating quick problem resolution.

[0643] For example, if a user wishes to study in France, the system will suggest suitable educational institutions in France and automate the application process to ensure a smooth flow. If the user feels anxious, tailored support and entertainment will be provided.

[0644] In utilizing generative AI models, an example of a prompt message could be: "The user has reported feeling stressed; please suggest relaxing content."

[0645] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0646] Step 1:

[0647] The user enters attribute information and desired conditions into the terminal. This data is sent from the terminal to the server. The entered data represents the user's basic attributes and desired conditions and forms the basis for analysis in the next stage.

[0648] Step 2:

[0649] The server stores the transmitted data in its database. At this stage, the server receives the user's attribute information and preferences, and uses this information to prepare to identify the most suitable educational institutions.

[0650] Step 3:

[0651] An AI algorithm running on the server analyzes past user evaluation data and economic data accumulated from a database. This analysis generates the most suitable educational institution options for the user. The AI ​​learns patterns in the data and identifies the option that best matches the user's requirements.

[0652] Step 4:

[0653] The generated list of educational institution options is sent from the server to the terminal and presented to the user. The user can then review this information and make the most suitable choice.

[0654] Step 5:

[0655] The application process related to the educational institution selected by the user is automatically managed by the server. The server prepares the necessary documents, submits the electronic application, and reports the progress to the user's terminal in real time.

[0656] Step 6:

[0657] The device is equipped with an emotion engine that analyzes user input data and activity logs in real time. This analysis estimates the user's emotional state and provides appropriate content based on their stress level. Specifically, if the user is feeling stressed, it suggests content that promotes relaxation.

[0658] Step 7:

[0659] The server receives analysis results from the emotion engine based on the user's emotional state and automatically sends notifications to relevant organizations as needed. This allows for a quick response to any problems the user may encounter during their stay.

[0660] Step 8:

[0661] The prompt to the generative AI model, "The user has reported feeling stressed; please suggest relaxing content," is used to select and provide the most suitable content to the user.

[0662] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0663] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0664] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0665] [Fourth Embodiment]

[0666] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0667] As shown in Figure 7, the 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.

[0668] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0669] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0670] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0671] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0672] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0673] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive 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 robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0674] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0675] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0676] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0677] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0678] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0679] This invention is a comprehensive system for supporting users who wish to study abroad. This system consists of a server, terminals, and users who operate them. The embodiments for carrying out this invention are described in detail below.

[0680] The server receives basic information and preferences provided by the user. This includes data entered by the user via a web portal or dedicated application. This information is stored in a database and used as foundational data for AI analysis.

[0681] The server uses an AI algorithm to suggest the most suitable educational institutions based on accumulated user information. The AI ​​analyzes past data and evaluation information to generate personalized and optimal suggestions for each user. Users can view a list of suggested educational institutions on their device and select the one that best suits them.

[0682] For selected educational institutions, the server automatically initiates the application process. This includes features that allow the server to handle complex procedures such as preparing necessary documents, submitting electronic applications, and assisting with visa acquisition. The terminal displays the progress of the process in real time, allowing users to stay informed at all times.

[0683] Furthermore, if a user encounters any problems during their study abroad period, they can send a support request from their device. Based on this information, the server automatically notifies the relevant organizations of the problem according to a pre-registered protocol. This allows for a smooth and appropriate response.

[0684] Furthermore, after the study abroad period ends, the server uses the collected inquiry data and academic performance data to visualize the user's abilities and experience. This visualized data is provided to collaborating organizations to support users in obtaining new career and scholarship opportunities.

[0685] Thus, the system of the present invention can comprehensively handle information gathering, optimal recommendations, procedural assistance, troubleshooting, and career support after returning to Japan for those wishing to study abroad. For example, if a user wishes to study computer science in the United States, the system will suggest several universities in the U.S., automate the procedures, and handle everything from post-departure life support to career development after returning to Japan. As a result, users are freed from the complexities of procedures and are provided with an environment in which they can concentrate on their studies and cross-cultural experiences.

[0686] The following describes the processing flow.

[0687] Step 1:

[0688] Users enter basic information and desired conditions using their devices and access a dedicated application or web portal. This collects data such as the country, field of study, budget, and duration of study abroad.

[0689] Step 2:

[0690] The terminal sends the collected information to the server. The server receives this information and stores it in a database. The information is saved in a standardized format, preparing it for subsequent AI analysis.

[0691] Step 3:

[0692] The server uses an AI algorithm to identify the most suitable educational institution based on accumulated user information. The AI ​​generates a variety of options, taking into account factors such as evaluations of study abroad destinations, historical data, and cost information.

[0693] Step 4:

[0694] The server sends a list of optimal educational institutions, generated by AI, to the user's device. The user can then review the suggested options on their device and select the educational institution that best suits their needs.

[0695] Step 5:

[0696] After the user selects an educational institution, the server automatically initiates the corresponding application process. This includes preparing documents and applying for visas as needed.

[0697] Step 6:

[0698] The server notifies the terminal of the application process's progress in real time. Users can stay informed of the process's progress at all times and provide additional information when necessary.

[0699] Step 7:

[0700] If problems arise during their study abroad, users can submit support requests through their device.

[0701] Step 8:

[0702] The server automatically contacts the relevant organizations based on the received support request, communicates the details of the problem, and prompts them to take appropriate action.

[0703] Step 9:

[0704] The server visualizes users' abilities and experiences based on academic performance data and activity records collected after their study abroad program ends. This data is provided to collaborating organizations and used to help users develop their careers after returning to Japan.

[0705] (Example 1)

[0706] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0707] For users wishing to study abroad, it is necessary to find the most suitable educational institution, simplify and automate the application process, and provide comprehensive support during their stay and career assistance after their return. In such a complex process, an efficient and effective system is needed to reduce manual errors and alleviate the burden on users.

[0708] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0709] In this invention, the server includes means for collecting attribute information and desired conditions from the user, means for suggesting the most suitable educational facility using a machine learning model based on the information, and means for electronically automating the application process for the suggested educational facility. This makes it possible to suggest the most suitable educational institution to the user and to automate and support the application process.

[0710] A "user" is an individual who wishes to use the system to select a study abroad destination or complete the application process.

[0711] "Attribute information" refers to the user's basic data, including information such as name, age, educational background, and desired major.

[0712] "Desired conditions" refer to the specific requirements and conditions that the user seeks regarding studying abroad, including information such as destination, budget, and duration.

[0713] A "server" is a central control unit that receives user input data, processes it, and provides the results.

[0714] A "machine learning model" is a program that analyzes vast amounts of data and learns patterns, and is used to make optimal suggestions.

[0715] "Educational institutions" refer to places of learning such as universities and specialized institutions that are considered potential study abroad destinations.

[0716] "Application procedures" refer to the procedures required for studying abroad, including preparing and submitting documents, and applying for a visa.

[0717] "Means of electronic automation" refers to methods of using the power of computers to automatically perform a series of processes in order to reduce manual labor.

[0718] This invention relates to a comprehensive system that supports users who wish to study abroad. This system consists of servers, terminals, and users. Furthermore, various hardware and software are utilized to implement it.

[0719] The server receives attribute information and desired conditions from users and stores them in a database. Interface tools such as web forms and mobile applications are used in this process. For example, when a user enters information such as "Computer Science major, studying in the US, annual budget of $30,000," the data is immediately sent to the server.

[0720] Next, the server uses a machine learning model to identify and suggest the most suitable educational institutions. This analysis utilizes deep learning frameworks such as TensorFlow, performing analyses based on accumulated evaluation and cost information. As a result, users are presented with options such as "the top 5 universities in the United States."

[0721] The terminal provides this information to the user intuitively and features a user experience that allows for easy selection. The application process for selected educational institutions is automated electronically by the server using the "DocuSign API" and the "USCIS Online Platform."

[0722] Furthermore, if any problems arise during their studies abroad, users can request support from their device. This request is processed by the server, and the relevant organizations are automatically contacted via the SMTP protocol. This process ensures that users can receive support smoothly.

[0723] Upon returning home, the server visualizes the data collected during the stay and provides it to partner organizations using visualization tools such as Tableau. This allows users to receive support in finding new career opportunities or scholarships.

[0724] For example, by entering a prompt message in the system such as, "Please suggest the best study abroad destination for the user to obtain their desired degree. Please consider the target country, field of study, and specific conditions," users can obtain a variety of options and support. This allows even complex processes to proceed smoothly, providing users with an environment where they can focus on their studies and cross-cultural experiences with peace of mind.

[0725] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0726] Step 1:

[0727] Users enter their personal information and desired conditions for studying abroad using a web portal or a dedicated app. Specifically, they fill in data such as their major, country, budget, and length of stay in a form and send it to the server by pressing the submit button. The information entered is detailed to accurately reflect the individual needs of the user.

[0728] Step 2:

[0729] The server stores the information received from the user in a database. The information received as input is converted to JSON format and stored in the database, becoming the basic data for subsequent processing. In this case, a relational database such as "PostgreSQL" is used.

[0730] Step 3:

[0731] The server uses the collected information to activate a machine learning model and select the most suitable educational institution. This process first refers to past evaluation and cost information to propose the educational institution that best matches the user's desired conditions. The accumulated data is used as input, and the machine learning model performs data analysis and pattern recognition. The output is a list of the most suitable educational institutions.

[0732] Step 4:

[0733] The user reviews the list of educational institutions displayed on the device and selects the institution that best suits their needs. The device provides the user with options and sends the selected information to the server. Throughout this process, the user-friendly interface makes selection easy.

[0734] Step 5:

[0735] The server automates the application process to selected educational institutions. Selected institution and user information are used as input, and electronically signed documents and application forms are generated as output. Digital documents are created and processed using APIs such as "DocuSign API" and automatically sent to the target institutions.

[0736] Step 6:

[0737] The server receives support requests submitted by users during their stay and automatically contacts the relevant organizations. The input is a user request, and the output is trouble information sent to the relevant organizations using the SMTP protocol. This automated notification ensures prompt assistance.

[0738] Step 7:

[0739] After the user returns to their home country, the server analyzes and visualizes the information accumulated during their stay and provides it to the cooperating organization. Input data includes academic performance and evaluation data. The data is visualized using tools such as "Tableau," and the output provides analytical results for new career support. This allows the user to smoothly prepare for their next steps.

[0740] (Application Example 1)

[0741] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0742] Students hoping to study abroad face challenges in finding educational institutions that meet their needs and efficiently navigating complex application procedures. Furthermore, they require prompt support in case of problems during their stay abroad, and lack sufficient support to effectively utilize their study abroad experience upon returning home. Additionally, opportunities to receive personalized learning materials are limited.

[0743] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0744] In this invention, the server includes means for collecting basic information and desired conditions from the user, means for suggesting the most suitable educational institution, means for automating the application process for the suggested educational institution, means for automatically notifying relevant organizations and addressing any problems that arise during the stay, means for visualizing the user's abilities and experience after returning home and providing it to cooperating organizations, and means for delivering personalized learning materials based on the user's information processing terminal. This enables the user to conduct their study abroad program efficiently and effectively and make the most of their experience.

[0745] A "user" is an individual who wishes to study abroad and uses this system to gather information and complete application procedures.

[0746] "Basic information" refers to personal data such as the user's name, age, educational background, specialization, and language skills.

[0747] "Desired conditions" refer to the conditions that users expect from their study abroad institution, as well as their desired field of study, region, budget, and other preferences.

[0748] An "educational institution" refers to an institution that provides academic or skills education, such as a university, vocational school, or language school.

[0749] "Application procedures" refer to the official procedures required for studying abroad, such as applying for admission to an educational institution, obtaining a visa, and submitting necessary documents.

[0750] "Related organizations" refer to local public institutions and support groups that are required to respond when problems or troubles arise regarding studying abroad.

[0751] "Abilities and experience" refers to the skills, knowledge, and cultural experiences that the user acquires through education and daily life during their study abroad period.

[0752] A "partnering organization" refers to an organization that has partnered with this system for the purpose of providing education, career development, or support for students' life abroad.

[0753] "Information processing terminals" refer to electronic devices such as smartphones, tablets, and personal computers that are capable of inputting, outputting, and communicating information.

[0754] "Learning materials" refer to educational content provided by educational institutions, including teaching materials, videos, articles, and workbooks necessary for deepening knowledge.

[0755] To implement this invention, a system consisting of a server, an information processing terminal, and a user is designed.

[0756] The server first collects basic information and desired conditions from users via information processing terminals. This includes data entered by users through applications on the terminals, and the server securely stores this data in a database. For data analysis, an AI algorithm using Python and TensorFlow is used to suggest the most suitable educational institutions. In this process, past experience evaluation data and cost data are also considered as part of the analysis.

[0757] Users can review and select from multiple educational institutions proposed on the interface of their information processing terminal. The server system has the functionality to automatically proceed with the application process based on that selection. This includes filling out entry forms, electronically submitting required documents, and assisting with visa acquisition.

[0758] If a user encounters any problems during their stay, they can send a support request to the server from their device. The server then configures an automated system that sends problem information to the relevant organizations using programming languages ​​such as Swift or Java, according to the registered protocol. This allows for a quick and effective response.

[0759] Furthermore, upon returning home, the server uses the collected performance data and experience information to visualize the user's achievements and provides support to relevant organizations. This gives users the opportunity to explore new career options and scholarship opportunities.

[0760] As part of its learning management system, this system also has the function of delivering personalized educational content to users via information processing terminals. Based on an AI model, it automatically recommends videos and articles that correspond to the user's areas of interest and skills. As a concrete example of this function, when a high school student goes abroad to study a language, that student is individually provided with content that is useful for everyday conversation.

[0761] The generation of natural language content is also facilitated using generative AI models. An example of a prompt in this case would be, "Please provide relevant learning content based on the user's most suitable study abroad destination information." In this way, the entire system provides consistent support, enabling a smooth study abroad process.

[0762] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0763] Step 1:

[0764] The server receives basic user information and preferences transmitted from the terminal. The input consists of text information entered by the user through the application. The server stores this information in a database and compiles it as foundational data for subsequent AI analysis.

[0765] Step 2:

[0766] The server runs an AI model based on stored basic information and desired conditions to select the most suitable educational institution. The inputs here are user information and past evaluation data stored in the database. The output is a list of optimal educational institutions generated by the AI ​​model, which analyzes past data and considers evaluation metrics.

[0767] Step 3:

[0768] The server sends a list of suitable educational institutions to the terminal. This allows the user to view details of the suggested educational institutions on their terminal. The input is the list of educational institutions generated in step 2, and the output is the display on the terminal.

[0769] Step 4:

[0770] The server automatically handles the application process for the educational institution selected by the user. The user inputs their selection information from their terminal, and based on this, the server generates the necessary documents and submits the electronic application to the relevant institutions. The output is a notification that the application has been completed.

[0771] Step 5:

[0772] If a problem occurs during their stay, the user sends a support request to the server using their device. The input is request data from the device, including details of the problem. The server automatically sends relevant information to the appropriate organizations according to a pre-configured protocol. The output is the commencement of the resolution process and notification to the relevant organizations.

[0773] Step 6:

[0774] The server visualizes the academic performance and experiences gained during the study abroad period. The input consists of academic and lifestyle data accumulated during the period. The server analyzes this data and generates a visual report to evaluate the user's abilities and experiences. The output is an evaluation report provided to collaborating organizations.

[0775] Step 7:

[0776] The server utilizes a generative AI model to automatically deliver learning materials tailored to the user to their device. The input here consists of data about the user's interests and learning history, which the AI ​​uses to select appropriate educational content. The output is personalized learning videos and articles provided on the device.

[0777] Through the steps outlined above, this system provides comprehensive support to prospective students, enabling them to enrich their learning and daily lives.

[0778] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0779] This invention provides enhanced support to users who wish to study abroad by combining an emotion engine with a system designed to assist them. This system consists of a server, terminals, and an emotion engine, and the integrated functioning of these components streamlines the entire study abroad process for users.

[0780] The server receives the user's basic information and preferences. This data is stored in a database and used as foundational data for AI analysis. The terminal is responsible for transmitting the information entered by the user to the server, thereby facilitating the smooth flow of information.

[0781] The AI ​​algorithm within the system operates on a server and identifies the most suitable educational institution for the user from accumulated data. The AI ​​analyzes past evaluation and cost data to generate and suggest the best options for the user. The terminal receives these results and presents them to the user.

[0782] The emotion engine is installed in the device and analyzes user input data and activity logs in real time. This analysis is performed to estimate the user's emotional state and monitor stress and anxiety levels. For example, if a user is experiencing stress due to prolonged data entry, the system can detect this through the emotion engine and provide alerts or appropriate information via the server.

[0783] Furthermore, the emotion engine dynamically adjusts the information and suggestions provided based on the user's emotional state. For example, when a user is feeling stressed, information and support that promotes relaxation will be displayed. This ensures that users always receive support optimized for their individual needs.

[0784] The application process is automated and directed to the educational institution selected by the user. The server manages the entire process, including preparing necessary documents and submitting electronic applications. Users can monitor the progress of the application in real time via their terminal and receive feedback from an emotional engine, allowing them to proceed with confidence.

[0785] This invention, through its series of functions, comprehensively provides prospective students with information gathering, optimal recommendations, procedural assistance, troubleshooting, and post-return career support, as well as emotional support through monitoring their emotional state. As a result, users are freed from the complexities of procedures and provided with an environment where they can concentrate on their studies and cross-cultural experiences. For example, if a user wishes to study art in France, the system will suggest appropriate educational institutions in France, and the emotional engine will provide support to maintain the user's motivation.

[0786] The following describes the processing flow.

[0787] Step 1:

[0788] The user enters basic information and desired conditions using the device. This includes information such as the desired country of study, field of study, and budget. This information is collected by an emotion engine built into the device, while monitoring the user's emotional state.

[0789] Step 2:

[0790] The device sends the collected information and sentiment data to the server. The server stores this information in a database and prepares it for use as basic data for analysis.

[0791] Step 3:

[0792] The server activates an AI algorithm to identify the most suitable educational institution for the user based on accumulated information. In this process, the server analyzes evaluation data and cost big data to generate candidates.

[0793] Step 4:

[0794] The server sends a list of optimal educational institutions generated by AI to the device. The device displays the suggested options to the user and presents choices. The user selects the educational institution that interests them most from the list.

[0795] Step 5:

[0796] Based on the user's selection, the server automatically initiates the application process. It manages the preparation of documents, the creation of formalized application forms, and the visa application process, efficiently handling all aspects of the process.

[0797] Step 6:

[0798] The device uses an emotion engine to continuously monitor the user's emotional state during the application process. If stress or anxiety is detected, appropriate support and relaxation information are immediately provided via the server.

[0799] Step 7:

[0800] If a problem occurs during their study abroad, the user can submit a support request through their device. This request will also include emotional data detected by the emotion engine.

[0801] Step 8:

[0802] The server analyzes received support requests and automatically notifies the relevant organizations. This notification includes information necessary to understand the situation, enabling a swift response.

[0803] Step 9:

[0804] After the study abroad program ends, the server visualizes the user's abilities and experience based on collected emotional and academic data. This data is provided to collaborating organizations to support the user's career advancement. The terminal then presents the user with new opportunities through this information.

[0805] (Example 2)

[0806] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0807] For users who wish to study abroad, it is necessary to provide a comprehensive service that includes suggesting the most suitable learning institutions, automating the application process, handling assignments during their stay, and managing their emotional state, thereby creating an environment where users can be freed from the burden of procedures and stress, and can confidently realize their study abroad goals.

[0808] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0809] In this invention, the server includes means for collecting basic data and desired conditions from the user, means for suggesting the optimal learning institution, and means for analyzing the user's emotional state in real time using an emotion engine and dynamically adjusting the information provided based on that state. This makes it possible to propose the optimal learning environment for the user, and to efficiently and comfortably realize the entire process from application to stay and after returning home.

[0810] "Basic data" refers to personal information about the user and their desired conditions regarding studying abroad.

[0811] "Learning institution" refers to an educational institution, school, university, or other place of learning that is considered as a destination for studying abroad.

[0812] "Application processing" refers to the series of procedures involved in applying to a learning institution selected by the user, including the submission of necessary documents and registration procedures.

[0813] "Related departments" refers to organizations or institutions involved in resolving problems that may arise during the user's study abroad period.

[0814] An "emotional engine" refers to a technology that analyzes the user's emotional state and adjusts the system's operation based on that analysis.

[0815] "Real-time analysis" refers to analyzing data as soon as it is generated and immediately performing appropriate processing based on the results.

[0816] A "protocol" refers to a set of standardized rules and procedures used for transmitting information.

[0817] "Dynamic adjustment" refers to modifying the content provided and taking appropriate action based on the immediate situation and conditions.

[0818] This invention provides a system that offers integrated support to users who wish to study abroad. This system incorporates a server, terminals, and an emotion engine, with each component working in coordination.

[0819] The server receives basic data and desired conditions from the user and stores them in a database. This data is then used as foundational data for analysis using a generative AI model. By analyzing past evaluation data and cost data, the AI ​​model identifies and proposes the most suitable learning institution for the user.

[0820] The terminal sends the information entered by the user to the server, and the server then presents the user with a list of the most suitable learning institutions. Based on these results, the user can view detailed information about the candidate learning institutions.

[0821] The emotion engine is built into the device and analyzes user input data and activity logs in real time. This analysis determines the user's emotional state. For example, if the user feels tired after prolonged use, the system will detect this and provide appropriate alerts or relaxation information.

[0822] The application process is managed by a server and automatically proceeds to the learning institution selected by the user. The server generates the necessary documents and processes the electronic application, and notifies the user of the progress via the terminal.

[0823] This reduces the burden on users from procedures and information gathering, allowing them to make decisions about studying abroad effectively and comfortably. For example, a user can perform a search using a prompt such as, "If I want to study art in France, please suggest suitable learning institutions and provide emotional support to maintain my motivation." In this way, the present invention provides users with an optimal learning environment and emotional support.

[0824] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0825] Step 1:

[0826] The user uses a terminal to enter basic data and desired conditions. This includes providing their name, destination, desired field of study, and study period. The terminal collects this input data and sends it to the server.

[0827] Step 2:

[0828] The server stores the data received from the terminal in a database. This data serves as the foundational data for the generating AI model to perform analysis. The server verifies the received data, processes it in the required format, and saves it.

[0829] Step 3:

[0830] The server runs a generative AI model, analyzing user data, historical evaluation data, and cost data stored in the database. Based on the input conditions, the AI ​​model identifies the most suitable learning institution for the user. As a result of the analysis, a list of learning institutions is generated.

[0831] Step 4:

[0832] The server sends the generated list of learning institutions to the terminal. The terminal presents the results to the user and displays detailed information about each learning institution. At this time, the user can compare and consider the presented options.

[0833] Step 5:

[0834] The user selects their preferred learning institution from the presented options. The device then sends this selection to the server.

[0835] Step 6:

[0836] The server initiates the application process to the selected learning institution. It automatically generates the necessary documents and submits the application electronically. The server proceeds with the process according to the protocol and updates the application status in the database.

[0837] Step 7:

[0838] The terminal notifies the user of the progress of the application process in real time. Furthermore, an emotion engine monitors the user's stress and emotions, providing relaxation information and alerts as needed. This allows the user to proceed with the process with peace of mind.

[0839] (Application Example 2)

[0840] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0841] Students hoping to study abroad face various challenges, including selecting an educational institution, completing procedures, and dealing with problems during their stay. However, a major issue is the psychological burden and lack of adequate information provided during these processes. Furthermore, the lack of content tailored to students' moods and interests can easily lead to monotonous study abroad experiences.

[0842] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0843] In this invention, the server includes means for collecting attribute information and desired conditions from the user, means for suggesting the most suitable educational institution based on the information, and means for automating the application process for the suggested educational institution. This reduces the psychological burden on the user and enables the provision of content based on their emotional state to enrich their study abroad experience.

[0844] A "user" is an individual who wishes to study abroad using this system.

[0845] "Attribute information" refers to basic data or characteristics about individual users.

[0846] "Desired conditions" refer to the specific requirements or wishes that the user hopes to fulfill during their study abroad experience.

[0847] An "educational institution" is an institution where students can study or conduct research, and which they choose as their study abroad destination.

[0848] "Application procedures" refer to all the necessary steps for applying for admission or participation in an educational institution.

[0849] "Related organizations" refer to cooperating groups or organizations that help address problems that may arise during your studies abroad.

[0850] An "organization" is an organization that accepts and utilizes the experiences and abilities of its users.

[0851] "Emotional state" refers to the user's feelings and mental state, including their level of stress and relaxation.

[0852] "Content" refers to the information and entertainment provided to users.

[0853] This invention streamlines the user's study abroad process and provides emotional support using a system equipped with a server, terminal, and emotion engine. The server stores attribute information and desired conditions collected from the user in a database. Based on this, an AI algorithm running on the server analyzes past user evaluation data and economic data based on the accumulated data and proposes the most suitable educational institution for the user.

[0854] The terminal transmits information entered by the user to the server and also presents the user with suggested options and the progress of the application process. Furthermore, an emotion engine is installed in the terminal, which analyzes the user's input data and activity logs in real time. This allows the system to monitor the user's emotional state, estimate stress and anxiety levels, and dynamically adjust the information provided and suggestions.

[0855] For example, when a user is feeling stressed, in addition to educational institution procedures, relaxing content such as healing music and cultural information is presented. Furthermore, the server automatically notifies relevant institutions of any issues during the user's stay, facilitating quick problem resolution.

[0856] For example, if a user wishes to study in France, the system will suggest suitable educational institutions in France and automate the application process to ensure a smooth flow. If the user feels anxious, tailored support and entertainment will be provided.

[0857] In utilizing generative AI models, an example of a prompt message could be: "The user has reported feeling stressed; please suggest relaxing content."

[0858] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0859] Step 1:

[0860] The user enters attribute information and desired conditions into the terminal. This data is sent from the terminal to the server. The entered data represents the user's basic attributes and desired conditions and forms the basis for analysis in the next stage.

[0861] Step 2:

[0862] The server stores the transmitted data in its database. At this stage, the server receives the user's attribute information and preferences, and uses this information to prepare to identify the most suitable educational institutions.

[0863] Step 3:

[0864] An AI algorithm running on the server analyzes past user evaluation data and economic data accumulated from a database. This analysis generates the most suitable educational institution options for the user. The AI ​​learns patterns in the data and identifies the option that best matches the user's requirements.

[0865] Step 4:

[0866] The generated list of educational institution options is sent from the server to the terminal and presented to the user. The user can then review this information and make the most suitable choice.

[0867] Step 5:

[0868] The application process related to the educational institution selected by the user is automatically managed by the server. The server prepares the necessary documents, submits the electronic application, and reports the progress to the user's terminal in real time.

[0869] Step 6:

[0870] The device is equipped with an emotion engine that analyzes user input data and activity logs in real time. This analysis estimates the user's emotional state and provides appropriate content based on their stress level. Specifically, if the user is feeling stressed, it suggests content that promotes relaxation.

[0871] Step 7:

[0872] The server receives analysis results from the emotion engine based on the user's emotional state and automatically sends notifications to relevant organizations as needed. This allows for a quick response to any problems the user may encounter during their stay.

[0873] Step 8:

[0874] The prompt to the generative AI model, "The user has reported feeling stressed; please suggest relaxing content," is used to select and provide the most suitable content to the user.

[0875] 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 controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0876] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0877] 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 this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0878] Furthermore, the emotion identification model 59, acting 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 a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0879] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0880] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0881] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0882] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0883] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is 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 the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0884] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0885] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0886] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0887] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0888] 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.

[0889] Furthermore, it is not necessary to store the entirety 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 the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0890] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0891] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of 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). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0892] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0893] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0894] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0895] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0896] The following is further disclosed regarding the embodiments described above.

[0897] (Claim 1)

[0898] A means of collecting basic information and desired conditions from users,

[0899] A means of proposing the most suitable educational institution based on the aforementioned information,

[0900] A means to automate the application process for the proposed educational institutions,

[0901] A means of automatically notifying relevant organizations and addressing any problems that may arise during your stay,

[0902] After returning to Japan, a means to visualize the skills and experience gained during the stay and provide them to collaborating organizations,

[0903] A system that includes this.

[0904] (Claim 2)

[0905] The system according to claim 1, wherein the means for proposing the most suitable educational institution involves analyzing past user evaluation data and cost data to provide the user with the most suitable option.

[0906] (Claim 3)

[0907] The system according to claim 1, wherein the means for automatically notifying the user of any problems that occur during their stay is to receive a request from the user's terminal and transmit information to the relevant organization in accordance with a pre-configured protocol.

[0908] "Example 1"

[0909] (Claim 1)

[0910] A means of collecting attribute information and desired conditions from users,

[0911] A means of proposing the optimal educational facility using a machine learning model based on the aforementioned information,

[0912] A means to electronically automate the application process for proposed educational facilities,

[0913] A means of automatically contacting relevant organizations and addressing incidents that occur during the stay,

[0914] A means of visualizing the skills and experience gained during the stay after returning to Japan and providing this information to partner organizations.

[0915] A system that includes this.

[0916] (Claim 2)

[0917] The system according to claim 1, wherein the means for proposing the most suitable educational facility involves analyzing past user evaluation information and economic information to present the user with the most suitable option.

[0918] (Claim 3)

[0919] The system according to claim 1, wherein the means for automatically notifying of events occurring during the aforementioned stay receives a request from the user's operating device and transmits information to the relevant organization in accordance with a pre-configured communication procedure.

[0920] "Application Example 1"

[0921] (Claim 1)

[0922] A means of collecting basic information and desired conditions from users,

[0923] A means of proposing the most suitable educational institution based on the aforementioned information,

[0924] A means to automate the application process for the proposed educational institutions,

[0925] A means of automatically notifying relevant organizations and addressing any problems that may arise during your stay,

[0926] After returning to Japan, a means to visualize the skills and experience gained during the stay and provide them to collaborating organizations,

[0927] A means of delivering personalized learning materials based on the information processing terminal owned by the user,

[0928] A system that includes this.

[0929] (Claim 2)

[0930] The system according to claim 1, wherein the means for proposing the most suitable educational institution involves analyzing past user evaluation data and cost data to provide the user with the most suitable option.

[0931] (Claim 3)

[0932] The system according to claim 1, wherein the means for automatically notifying the user of any problems that occur during their stay is to receive a request from the user's terminal and transmit information to the relevant organization in accordance with a pre-configured protocol.

[0933] "Example 2 of combining an emotion engine"

[0934] (Claim 1)

[0935] Means for collecting basic data and desired conditions from users,

[0936] A means of proposing the optimal learning institution based on the aforementioned data,

[0937] A means to automate the application process to the proposed learning institutions,

[0938] A means to automatically notify the relevant departments and address any issues that arise during the stay,

[0939] A means of analyzing the user's emotional state in real time and dynamically adjusting the information provided based on that state,

[0940] A means to visualize the skills and experiences gained during the stay after returning to Japan and provide them to collaborating organizations,

[0941] A means of monitoring users' stress and anxiety using an emotion engine and presenting relaxation information at the appropriate time,

[0942] A system that includes this.

[0943] (Claim 2)

[0944] The system according to claim 1, wherein the means for suggesting the most suitable learning institution involves analyzing past user evaluation data and cost data to provide the user with the most suitable option.

[0945] (Claim 3)

[0946] The system according to claim 1, wherein the means for automatically notifying the user of issues that arise during the stay receives a request from the user's terminal and transmits information to the relevant department based on a configured protocol.

[0947] "Application example 2 when combining with an emotional engine"

[0948] (Claim 1)

[0949] A means of collecting attribute information and desired conditions from users,

[0950] A means of proposing the most suitable educational institution based on the aforementioned information,

[0951] A means to automate the application process for the proposed educational institutions,

[0952] A means of automatically notifying relevant organizations and addressing any problems that may arise during your stay,

[0953] A means of visualizing the skills and experience acquired during the stay and providing them to collaborating organizations,

[0954] A means of dynamically adjusting the information provided and suggestions based on the user's emotional state and delivering the relevant content,

[0955] A system that includes this.

[0956] (Claim 2)

[0957] The system according to claim 1, wherein the means for proposing the most suitable educational institution involves analyzing past user evaluation data and economic data to provide the user with the most suitable option.

[0958] (Claim 3)

[0959] The system according to claim 1, wherein the means for automatically notifying the user of problems occurring during the stay receives a request from the user's device and transmits information to the relevant organization in accordance with a pre-configured communication method. [Explanation of Symbols]

[0960] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means of collecting basic information and desired conditions from users, A means of proposing the most suitable educational institution based on the aforementioned information, A means to automate the application process for the proposed educational institutions, A means of automatically notifying relevant organizations and addressing any problems that may arise during your stay, After returning to Japan, a means to visualize the skills and experience gained during the stay and provide them to collaborating organizations, A system that includes this.

2. The system according to claim 1, wherein the means for proposing the most suitable educational institution involves analyzing past user evaluation data and cost data to provide the user with the most suitable option.

3. The system according to claim 1, wherein the means for automatically notifying the user of problems occurring during the stay is to receive a request from the user's terminal and transmit information to the relevant organization in accordance with a pre-configured protocol.

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