System

Abstract

A system is provided.SOLUTION: A system comprising: means for inputting date of birth and place of birth information; means for generating a horoscope; means for using a generative AI model to perform an analysis based on the generated horoscope; means for generating advice in text form for worries and challenges based on the analysis; and means for outputting the generated advice to a user.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] Astrology can predict the destiny, fate, and compatibility of individuals and corporations, but the combination of celestial positions is complex, and analyzing worries and issues requires a reading by a professional astrologer, so in-person consultations have been the norm. However, these face-to-face consultations have presented challenges, such as the time and financial costs involved, as well as the difficulty of ensuring consistency in the readings. Furthermore, it is difficult to provide astrological analysis and advice immediately, making it impossible to respond quickly to user needs. To solve this problem, a system that can provide appropriate advice immediately without meeting the user in person is needed. [Means for solving the problem]

[0005] To address this issue, the present invention provides a system that includes a means for inputting information on a date of birth and place of birth, a means for generating a horoscope, a means for using a generative AI model to perform analysis based on the generated horoscope, a means for generating advice in text format for addressing worries and issues based on the analysis results, and a means for outputting the generated advice to a user. The system also includes a means for storing the generated horoscope data in a database, a means for analyzing the stored data, a means for preprocessing data related to the user's worries and issues, a means for inputting the preprocessed data into the generative AI model, a means for displaying the generated advice to the user in real time, and a means for accepting additional questions or requests for reanalysis from the user, thereby enabling the provision of appropriate astrological advice in a non-face-to-face and immediate manner. This solves the problems associated with traditional face-to-face consultations and enables the provision of astrology services that are accessible to a wider range of users.

[0006] "Information on date of birth and place of birth" refers to the date of birth of an individual or corporation and their geographical location at that time, which is necessary for astrology.

[0007] "Means for generating a horoscope" refers to an algorithm and system for calculating and creating a celestial arrangement (horoscope) based on input information on date of birth and place of birth.

[0008] "Means for using a generative AI model" refers to an artificial intelligence model and its execution environment for analyzing the generated horoscope data and generating appropriate advice for worries and issues.

[0009] "Means for generating advice in text format for worries and issues based on analysis results" refers to a system that generates appropriate solutions in text form for users' worries and issues based on the output of a generative AI model.

[0010] The "means for outputting generated advice to a user" is a system for displaying or transmitting generated advice text to a user's device in real time.

[0011] The "means for storing in a database" is a system for persistently storing the generated horoscope data and making it reusable as needed.

[0012] The "means for analysis" is a system that inputs saved horoscope data and user worry data into an AI model for analysis.

[0013] The "preprocessing means" is a system for converting text data regarding worries and issues entered by users into a format suitable for analysis.

[0014] The "means for displaying in real time" is a system for instantly displaying the generated advice text on the user's screen.

[0015] The "means for accepting additional questions or requests for reanalysis" is a system for accepting new questions or requests for reanalysis from the user and executing the analysis process again. [Brief explanation of the drawings]

[0016] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0017] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0018] First, the terms used in the following description will be explained.

[0019] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0020] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0021] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0022] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0023] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0024] [First embodiment]

[0025] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0026] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0027] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0028] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0029] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0030] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0031] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0032] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0033] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0034] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0035] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0036] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0037] The astrology system of the present invention allows users to input information about their date of birth and place of birth, generates a horoscope based on that information, and uses a generative AI model to analyze the generated horoscope to provide appropriate advice for the user's worries and problems. This system is implemented by a combination of a user terminal, a server, and necessary software components.

[0038] System Configuration

[0039] User terminal

[0040] Users access the system's web form using a PC or mobile device with a web browser and enter the required information, such as their date of birth, place of birth, and concerns or issues.

[0041] server

[0042] The server receives the data sent by the user and executes the processes of horoscope generation, data analysis, and advice generation. These processes are handled by the following components:

[0043] Data receiving module: This module receives input data from the user. It converts the date of birth, place of birth, and worries data into a standard format.

[0044] Horoscope generation module: This module generates a celestial arrangement chart (horoscope) based on the received date of birth and place of birth information.

[0045] Database module: This module stores the generated horoscope data. If necessary, the stored data is used for analysis.

[0046] Text preprocessing module: This module preprocesses user's worries data for analysis. It converts the text data into a standard format.

[0047] Generative AI model module: This is an AI module that analyzes the generated horoscope data and pre-processed worry data and generates advice.

[0048] Advice output module: This module generates advice in text format based on the output of the generative AI model and sends it to the user's device.

[0049] Program processing

[0050] User terminal

[0051] 1. The user enters their date of birth, place of birth, and concerns in a web form.

[0052] 2. Once the input is complete, the data is sent to the server.

[0053] server

[0054] 1. The data receiving module receives the date of birth, place of birth, and worries data sent by the user and converts them into a standard format.

[0055] 2. The horoscope generation module generates a celestial map based on the received date of birth and place of birth information.

[0056] 3. The database module stores the generated horoscope in the database.

[0057] 4. The text preprocessing module preprocesses the user's worry data and converts it into a format suitable for analysis.

[0058] 5. The generative AI model module analyzes the horoscope data and pre-processed worry data to generate appropriate advice.

[0059] 6. The advice output module sends the generated advice text to the user and displays it on the web page.

[0060] Specific examples

[0061] User operations

[0062] A user accesses the site on October 1, 2023, enters their date of birth (January 1, 1990), place of birth (Tokyo), and concern (I don't know what direction to take in my career) into the form, and clicks the submit button.

[0063] Server Operation

[0064] 1. The data receiving module receives the data and converts it into a standard format.

[0065] 2. The horoscope generation module generates a horoscope for "January 1, 1990" and "Tokyo."

[0066] 3. The database module stores the generated horoscope data.

[0067] 4. The text preprocessing module preprocesses the worry data “I don’t know what direction to take in my career.”

[0068] 5. The generative AI model module analyzes the horoscope and pre-processed data and generates advice: "Jupiter offers opportunities for expansion and growth during this period, but there are also constraints due to the influence of Saturn, so careful decision-making is required."

[0069] 6. The advice output module displays the advice text on the user's screen.

[0070] In this way, the system of the present invention allows users to receive immediate advice based on professional astrology without having to undergo a face-to-face consultation. Furthermore, by analyzing the data stored in the database, the system contributes to future marketing strategies and understanding of user needs.

[0071] The processing flow will be explained below.

[0072] Step 1: User Input

[0073] User:

[0074] 1. Access the web page.

[0075] 2. Enter your date of birth, place of birth, and problem (issue) in the form.

[0076] 3. After completing the entry, click the "Submit" button.

[0077] Step 2: Receiving and Preprocessing Data

[0078] server:

[0079] 1. Receive data sent by the user.

[0080] 2. Check the received date of birth, place of birth, and concern data and convert it into a standard format.

[0081] 3. Preprocess the text-format worry data and convert it into a format suitable for analysis.

[0082] Step 3: Generate your horoscope

[0083] server:

[0084] 1. Enter the date of birth and place of birth information converted into standard format into the horoscope generation module.

[0085] 2. The horoscope generation module generates a celestial arrangement diagram (horoscope) based on the given information.

[0086] 3. Save the generated horoscope data in the database.

[0087] Step 4: Analyzing the horoscope data

[0088] server:

[0089] 1. Retrieve the horoscope data stored in the database.

[0090] 2. Prepare the preprocessed worry data for input into the generative AI model.

[0091] Step 5: Generative AI model generates advice

[0092] server:

[0093] 1. Input the horoscope data and preprocessed worry data into the generative AI model.

[0094] 2. The generative AI model analyzes the horoscope and worry data to generate appropriate advice for worries and issues.

[0095] 3. Format the AI-generated advice into text format for display to the user.

[0096] Step 6: Providing advice

[0097] server:

[0098] 1. Send the formatted advice text to the user's terminal.

[0099] 2. Display the generated advice on a web page.

[0100] User:

[0101] 1. Check the advice displayed on the web page.

[0102] 2. Submit additional questions or requests for reanalysis, if necessary.

[0103] Example 1

[0104] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0105] In modern society, many people seek prompt and appropriate advice for their worries and problems. However, traditional astrological readings require face-to-face consultations, which are limited in time and location. Furthermore, even among automated astrological systems, there are only a limited number of systems that can properly analyze data provided by users and provide highly accurate advice. The present invention aims to solve these problems.

[0106] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0107] In this invention, the server includes means for a user to input information on date of birth and place of birth, means for transmitting the input data to the server, means for converting the received data into a standard format, means for generating a horoscope, means for storing the generated horoscope in a database, means for preprocessing worry data, means for analyzing the generated horoscope data and the preprocessed worry data and using a generative AI model to generate advice, and means for outputting advice generated based on the analysis results to the user in text format. This enables a user to instantly receive advice based on professional astrology without the need for face-to-face consultation.

[0108] The term "user" refers to a person who uses the system of the present invention and inputs information such as their date of birth, birthplace, worries and problems.

[0109] "Server" refers to a computer system that receives data sent from users, generates horoscopes and performs data analysis, and provides generated advice to users.

[0110] "Date of birth" refers to the information of the date of birth entered by the user.

[0111] "Place of birth" refers to information about one's place of birth entered by the user.

[0112] "Horoscope" refers to a celestial map generated based on a user's date of birth and place of birth.

[0113] "Generative AI model" refers to an artificial intelligence model that analyzes the generated horoscope data and preprocessed worry data and generates appropriate advice.

[0114] "Database" refers to a storage device for storing generated horoscope data and other related information.

[0115] "Preprocessing" refers to the process of converting data about worries and issues entered by the user into a format suitable for analysis.

[0116] "Analysis" refers to the data analysis performed by the generative AI model based on horoscope data and preprocessed worry data.

[0117] "Advice" refers to advice or suggestions that are generated based on the analysis results and provided to the user.

[0118] "Text format" refers to a format in which advice is expressed as text information.

[0119] The astrology system of the present invention allows users to input their own date of birth and place of birth information, generates a horoscope based on that information, and uses a generative AI model to analyze the generated horoscope to provide appropriate advice to the user regarding their worries and problems. This system is implemented by a combination of a user terminal, a server, and various software components.

[0120] The user terminal is a PC or mobile device equipped with a web browser. Using these terminals, users access the system's web form and enter information about their date of birth, birthplace, and worries or issues. Once the input is complete, the data is sent from the user terminal to the server.

[0121] The server receives the data sent by the user and performs various processes. First, the data reception module receives the information sent by the user and converts it into a standard format. Common web server software (such as Apache or Nginx) can be used for this purpose.

[0122] Next, the horoscope generation module generates a celestial map (horoscope) based on the received date of birth and place of birth information. This module performs calculations using, for example, the Python astronomical calculation library "PyEphem."

[0123] The generated horoscope data is saved in a database using the database module. The database is typically a relational database such as MySQL or PostgreSQL. The saved data is used for later analysis.

[0124] Next, a text preprocessing module preprocesses the user-provided worry data and converts it into a format suitable for analysis. For this preprocessing, it is effective to use natural language processing libraries such as "NLTK" and "spaCy."

[0125] The generative AI model module analyzes the pre-processed data and generated horoscope data using an advanced generative AI model such as the Transformer-based model GPT-3. The generative AI model generates appropriate advice based on the input data.

[0126] Finally, the advice output module provides the generated advice to the user in text format. The generated advice text is sent to the user terminal as an HTTP response and displayed on the user's web browser.

[0127] As a specific example, suppose a user accesses the site on October 1, 2023, enters the following concerns into the form: "Born on January 1, 1990," "Born in Tokyo," "I don't know what direction to take my career," and submits it. The server receives this data and converts it into a standard format. Next, a horoscope is generated, and a celestial map is created. This data is then stored in a database, and the concern data is preprocessed. The generative AI model analyzes it and generates advice: "Jupiter offers opportunities for expansion and growth during this period, but there are also constraints due to the influence of Saturn, so careful decision-making is required." Finally, this advice text is sent to the user's device.

[0128] An example of a prompt sentence is "Date of birth: January 1, 1990, Place of birth: Tokyo, Concern: I don't know what career direction to take." Based on this information, the generative AI model provides appropriate advice.

[0129] In this way, the system of the present invention provides users with the ability to easily input their own data and receive prompt astrological advice based on that data. By implementing this system, it becomes possible to obtain professional advice from anywhere without the need for a face-to-face consultation.

[0130] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0131] Step 1:

[0132] Users open a web browser on their PC or smartphone and access the astrology system's web form, where they enter information about their date of birth, place of birth, and concerns or challenges. Input fields are designed to ensure accurate data entry using calendar selection and drop-down menus.

[0133] Input: Date of birth, place of birth, worries

[0134] Output: User data entered (date of birth, place of birth, concerns)

[0135] Step 2:

[0136] When the user has completed the input, they click the "Submit" button to send the data from the user's terminal to the server. This action generates an HTTP request, and the data is received by the server.

[0137] Input: User data (date of birth, place of birth, concerns)

[0138] Output: HTTP request to the server

[0139] Step 3:

[0140] The server's data receiving module receives HTTP requests sent by users, extracts the data sent, and converts it into a standard format, such as JSON or XML.

[0141] Input: HTTP request

[0142] Output: Data converted into standard format (date of birth, place of birth, worries)

[0143] Step 4:

[0144] The server's horoscope generation module generates a celestial map (horoscope) based on the received date of birth and place of birth information. This process is performed using the Python astronomical calculation library "PyEphem" and other tools.

[0145] Input: Date of birth, place of birth

[0146] Output: Horoscope data (astronomical map)

[0147] Step 5:

[0148] The server's database module stores the generated horoscope data in a database using a relational database such as MySQL or PostgreSQL. At this stage, the stored data is used for later analysis.

[0149] Input: Horoscope data

[0150] Output: Horoscope data stored in a database

[0151] Step 6:

[0152] The server's text preprocessing module preprocesses the user-provided worry data and converts it into a format suitable for analysis. For preprocessing, natural language processing libraries such as "NLTK" and "spaCy" are used to tokenize, normalize, and convert the text data into features.

[0153] Input: Worry data

[0154] Output: Preprocessed trouble data

[0155] Step 7:

[0156] The server's generative AI model module analyzes the generated horoscope data and pre-processed worry data to generate advice. The generative AI model uses advanced models such as GPT-3.

[0157] Input: Horoscope data, preprocessed worry data

[0158] Output: Parsed advice data

[0159] Step 8:

[0160] The advice output module of the server generates the advice data in text format and sends it to the user terminal. The generated advice is returned to the user as an HTTP response.

[0161] Input: Parsed advice data

[0162] Output: HTTP response (advice text)

[0163] Step 9:

[0164] The web browser on the user's device receives the advice text sent from the server and displays it on the user's screen. For example, the received data is dynamically rendered on the screen using a front-end framework such as JavaScript or Vue.js.

[0165] Input: HTTP response (advice text)

[0166] Output: Advice displayed to the user.

[0167] In this way, users can receive instant, professional astrological advice without the need for a face-to-face consultation.

[0168] (Application example 1)

[0169] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0170] In conventional astrology systems, it was difficult for users to receive personalized content, and advice and information based on specific interests were not adequately delivered. This meant that appropriate and specific advice could not be provided to address users' concerns and interests, resulting in a decrease in satisfaction.

[0171] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0172] In this invention, the server includes means for inputting information on date of birth and place of birth, means for generating a horoscope, means for using a generative AI model that performs analysis based on the generated horoscope, means for generating advice for worries and issues in text format based on the analysis results, means for generating personalized content based on the generated horoscope and user interest data, and means for delivering and displaying the generated content to a user terminal, thereby enabling users to receive specific and personalized advice and content based on their individual worries and interests.

[0173] "Information on date of birth and place of birth" refers to data indicating the user's date of birth and place of birth, and is basic information for generating an individual horoscope based on astrology.

[0174] A "horoscope" is a chart showing the positions of celestial bodies, generated based on a user's date of birth and place of birth, and serves as the basis for astrological analysis.

[0175] A "generative AI model" is an artificial intelligence model that analyzes the generated horoscope and the user's worries and interests data to generate appropriate advice and personalized content.

[0176] "Personalized content" includes individualized information and advice generated by a generative AI model tailored to a user's interests and concerns.

[0177] "User terminal" refers to a device used by a user to access the astrology system, including, for example, a smartphone or PC.

[0178] The "database" is an information management system for storing the generated horoscopes and user interest information, and the stored data is used for subsequent analysis and content generation.

[0179] "Preprocessing" is the process of converting user concerns and interest data into a format that is easier to analyze, creating data optimized for input into a generative AI model.

[0180] "Content distribution" refers to the process of transmitting the generated personalized content to a user terminal and displaying it.

[0181] "Advice generation" is the process of analyzing the horoscope and the user's worry data using a generative AI model, and creating specific advice for the user based on the results.

[0182] This invention is a system that generates an astrological horoscope when a user inputs information about their date of birth and place of birth, and then provides advice and personalized content using a generative AI model based on the generated horoscope and the user's concerns and interests.

[0183] System Configuration

[0184] User terminal

[0185] This is the device that users use to input data. This can be a smartphone, PC, etc. The terminal application provides input forms that allow users to enter information such as date of birth, place of birth, interests, and concerns. It also includes an interface for displaying generated advice and content.

[0186] server

[0187] The server includes the following main modules:

[0188] Data receiving module: Receives data such as date of birth, place of birth, interests, and worries sent by the user and converts it into a standard format. Specifically, it processes HTTP requests and extracts the necessary data.

[0189] Horoscope generation module: Generates a horoscope using an astronomical calculation library (e.g., PyEphem) based on the received date of birth and place of birth information.

[0190] Database module: The generated horoscope data and user interest data are stored in a database such as PostgreSQL and used for analysis.

[0191] Text preprocessing module: Preprocesses user concerns and interests using a natural language processing library (e.g., SpaCy) and converts them into a format suitable for input to the generative AI model.

[0192] Generative AI model module: Based on the generated horoscope and pre-processed data, a generative AI model (e.g., GPT-3) is used to generate personalized advice and content.

[0193] Content delivery module: The generated content is delivered to the user's device using services such as Firebase and displayed so that the user can view it.

[0194] Specific examples

[0195] Operating Procedure

[0196] A user starts the smartphone app, enters their date of birth (January 1, 1990) and place of birth (Tokyo) on the new registration screen, selects "health" and "career" as their interests, and enters "I don't know what direction my career should take" as their concern. Then, they click the submit button.

[0197] Server Processing

[0198] 1. The data receiving module receives the user data and converts it into a standard format.

[0199] 2. The horoscope generation module generates a horoscope based on "January 1, 1990" and "Tokyo."

[0200] 3. The database module stores the generated horoscope data.

[0201] 4. The text preprocessing module preprocesses the interest data and worry data of “health,” “career,” and “not sure about career direction.”

[0202] 5. The generative AI model module analyzes the horoscope and pre-processed data to generate personalized advice and content, such as "Jupiter's influence will bring good career opportunities, but Saturn's influence will also be significant, so it's important to maintain a balance" or "This month's health is relatively good, making it a good time to exercise."

[0203] 6. The content distribution module distributes the generated content to the user terminal and displays it.

[0204] Prompt Sentence Examples

[0205] The user's date of birth is January 1, 1990, and their birthplace is Tokyo. Their concern is "I don't know what direction to take in my career." Based on their horoscope, generate advice for this user based on their interests: health, career.

[0206] The system allows users to receive immediate, specific, and personalized astrological advice and content.

[0207] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0208] Step 1:

[0209] A user starts the smartphone app and enters their date of birth, place of birth, interests, and concerns on the new registration screen. The entered data may include, for example, "January 1, 1990" (date of birth), "Tokyo" (place of birth), "health, career" (interests), and "not sure about career direction" (concern).

[0210] Step 2:

[0211] The user terminal sends the input data to the server using an HTTP request, which is then received by the server.

[0212] Step 3:

[0213] The server's data receiving module converts the received data on date of birth, place of birth, interests, and concerns into a standard format. Specifically, it converts text data into JSON format, thereby ensuring data consistency.

[0214] Step 4:

[0215] The server's horoscope generation module generates a horoscope using an astronomical calculation library (e.g., PyEphem) based on the birth date (January 1, 1990) and birth place (Tokyo). The input data is the birth date and birth place, and the output data is the generated horoscope data.

[0216] Step 5:

[0217] The generated horoscope data is stored in a database by the server's database module. Specifically, it is stored using a relational database management system such as PostgreSQL. The input data is the horoscope data, and the output is the status of successful database storage.

[0218] Step 6:

[0219] The server's text preprocessing module preprocesses the user's concern, "I don't know what career direction to take," and the interest data, "health, career." This preprocessing uses a natural language processing library (e.g., SpaCy) to perform tokenization, syntactic analysis, and other processes to convert the data into a format suitable for input to a generative AI model. The input is the user's text data, and the output is the preprocessed data.

[0220] Step 7:

[0221] The server's generative AI model module analyzes the generated horoscope data and preprocessed worries and interests data to generate personalized advice and content. This analysis uses a generative AI model (e.g., GPT-3) to generate specific advice for the user. For example, "Jupiter's influence will bring good career opportunities, but Saturn's influence will also be strong, so it's important to maintain a balance," or "This month's health is relatively good, making it a good time for exercise." The input is the horoscope data and preprocessed data, and the output is the generated advice and content.

[0222] Step 8:

[0223] The server's content delivery module delivers the generated advice and content to the user device via a service such as Firebase and displays them in an appropriate UI. The input is advice and content data, and the output is the status of successful display on the user device and the advice and content received by the user.

[0224] Prompt Sentence Examples

[0225] The user's date of birth is January 1, 1990, and their birthplace is Tokyo. Their concern is "I don't know what direction to take in my career." Based on their horoscope, generate advice for this user based on their interests: health, career.

[0226] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0227] The astrology system of the present invention generates a horoscope based on the user's input of date of birth and place of birth, and then uses a generative AI model to analyze the generated horoscope to provide appropriate advice for the user's worries and problems. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, the accuracy of the advice and the user experience are improved. This system is implemented by a combination of a user terminal, a server, and necessary software components.

[0228] System Configuration

[0229] User terminal

[0230] Users access the system's web form using a PC or mobile device with a web browser and enter the required information, such as their date of birth, place of birth, and concerns or issues.

[0231] server

[0232] The server receives data sent by users and executes the processes of horoscope generation, data analysis, and advice generation. It also has an emotion engine that analyzes users' emotions. These processes are handled by the following components:

[0233] Data receiving module: This module receives input data from the user. It converts the date of birth, place of birth, and worries data into a standard format.

[0234] Horoscope generation module: This module generates a celestial arrangement chart (horoscope) based on the received date of birth and place of birth information.

[0235] Database module: This module stores the generated horoscope data. If necessary, the stored data is used for analysis.

[0236] Text preprocessing module: This module preprocesses user's worries data for analysis. It converts the text data into a standard format.

[0237] Generative AI model module: This is an AI module that analyzes the generated horoscope data and pre-processed worry data and generates advice.

[0238] Emotion engine module: This module analyzes the user's input worry data and reactions and adjusts the advice generated.

[0239] Advice output module: This module generates advice in text format based on the output of the generative AI model and sends it to the user's device.

[0240] Program processing

[0241] User terminal

[0242] 1. The user enters their date of birth, place of birth, and concerns in a web form.

[0243] 2. Once the input is complete, the data is sent to the server.

[0244] server

[0245] 1. The data receiving module receives the date of birth, place of birth, and worries data sent by the user and converts them into a standard format.

[0246] 2. The horoscope generation module generates a celestial arrangement diagram (horoscope) based on the given information.

[0247] 3. Save the generated horoscope data in the database.

[0248] 4. The text preprocessing module preprocesses the user's worry data and converts it into a format suitable for analysis.

[0249] 5. The generative AI model module analyzes the horoscope data and pre-processed worry data and generates advice.

[0250] 6. The emotion engine module recognizes the user's emotion in the text content of the generated advice and adjusts the advice content.

[0251] 7. The advice output module displays the generated advice text on the user's screen in real time.

[0252] Specific examples

[0253] User operations

[0254] A user accesses the site on October 1, 2023, enters their date of birth (January 1, 1990), place of birth (Tokyo), and concern (I don't know what direction to take in my career) into the form, and clicks the submit button.

[0255] Server Operation

[0256] 1. The data receiving module receives the data and converts it into a standard format.

[0257] 2. The horoscope generation module generates a horoscope for "January 1, 1990" and "Tokyo."

[0258] 3. The database module stores the generated horoscope data.

[0259] 4. The text preprocessing module preprocesses the worry data “I don’t know what direction to take in my career.”

[0260] 5. The generative AI model module analyzes the horoscope and pre-processed data and generates advice: "Jupiter offers opportunities for expansion and growth during this period, but there are also constraints due to the influence of Saturn, so careful decision-making is required."

[0261] 6. The emotion engine module adjusts the tone and content of the advice displayed to address the user's concerns.

[0262] 7. The advice output module displays the advice text on the user's screen in real time.

[0263] In this way, the system of the present invention allows users to instantly receive advice based on professional astrology without having to undergo a face-to-face consultation. Furthermore, by utilizing an emotion engine, it is possible to provide more appropriate advice that is tailored to the user's psychological state. By analyzing the data stored in the database, the system also contributes to future marketing strategies and understanding user needs.

[0264] The processing flow will be explained below.

[0265] Step 1: User Input

[0266] User:

[0267] 1. Access the web page.

[0268] 2. Enter your date of birth, place of birth, and problem (issue) in the form.

[0269] 3. Once you have completed the entry, click the "Submit" button.

[0270] Step 2: Receiving and Preprocessing Data

[0271] server:

[0272] 1. Receive data sent by the user.

[0273] 2. Convert the received date of birth, place of birth, and distress data into a standard format.

[0274] 3. Preprocess the text-format worry data and convert it into a format suitable for analysis.

[0275] Step 3: Generate your horoscope

[0276] server:

[0277] 1. Enter the date of birth and place of birth information converted into standard format into the horoscope generation module.

[0278] 2. The horoscope generation module generates a celestial arrangement diagram (horoscope) based on the given information.

[0279] 3. Save the generated horoscope data in the database.

[0280] Step 4: Analyzing the horoscope data

[0281] server:

[0282] 1. Retrieve the horoscope data stored in the database.

[0283] 2. Prepare the preprocessed worry data for input into the generative AI model.

[0284] Step 5: Generative AI model generates advice

[0285] server:

[0286] 1. Input the horoscope data and preprocessed worry data into the generative AI model.

[0287] 2. The generative AI model analyzes the horoscope and worry data to generate appropriate advice for worries and issues.

[0288] Step 6: Emotional Engine Alignment

[0289] server:

[0290] 1. The generated advice text is input to the emotion engine module.

[0291] 2. The emotion engine analyzes the user's input concerns and reactions and adjusts the generated advice according to the user's emotions.

[0292] Step 7: Providing advice

[0293] server:

[0294] 1. Prepare to send advice adjusted by the emotion engine to the user device.

[0295] 2. Open a web page and display the advice to the user.

[0296] User:

[0297] 1. Check the advice displayed on the web page.

[0298] 2. Submit additional questions or requests for reanalysis, if necessary.

[0299] Specific examples

[0300] User operations

[0301] A user accesses the site on October 1, 2023, enters their date of birth (January 1, 1990), place of birth (Tokyo), and concern (I don't know what direction to take in my career) into the form, and clicks the submit button.

[0302] Server Operation

[0303] 1. The data receiving module receives the data and converts it into a standard format.

[0304] 2. The horoscope generation module generates a horoscope for "January 1, 1990" and "Tokyo."

[0305] 3. The database module stores the generated horoscope data.

[0306] 4. The text preprocessing module preprocesses the worry data “I don’t know what direction to take in my career.”

[0307] 5. The generative AI model module analyzes the horoscope and pre-processed data and generates advice: "Jupiter offers opportunities for expansion and growth during this period, but there are also constraints due to the influence of Saturn, so careful decision-making is required."

[0308] 6. The emotion engine module recognizes the user's anxieties and hopes about their career and adjusts the tone and specific content of the advice: "The anxieties you are feeling are natural. Taking on new challenges during this time will bring you great opportunities for growth. However, it is important to proceed with caution."

[0309] 7. The advice output module displays the adjusted advice text on the user's screen in real time.

[0310] In this way, the system of the present invention allows users to instantly receive advice based on professional astrology without having to undergo a face-to-face consultation. Furthermore, by utilizing an emotion engine, it is possible to provide more appropriate advice that is tailored to the user's psychological state. By analyzing data stored in the database, the system also contributes to future marketing strategies and understanding of user needs.

[0311] Example 2

[0312] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0313] Conventional astrology systems require users to receive a face-to-face consultation, making it difficult to obtain immediate expert advice. Furthermore, they are unable to provide advice that takes into account the user's emotions and psychological state, limiting the improvement of the user experience.

[0314] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for inputting information on the date of birth and place of birth, means for generating a horoscope, means for using a generative AI model that performs analysis based on the generated horoscope, means for preprocessing data related to the user's worries and issues, means for inputting the preprocessed data into the generative AI model, means for adjusting the content and tone of the generated advice to match the user's emotions, means for generating advice on the worries and issues in text format based on the analysis results, and means for outputting the generated advice to the user. This allows the user to instantly receive professional astrological advice without having to undergo face-to-face consultation, and further allows the user to receive more appropriate advice that takes into account the user's emotions and psychological state.

[0315] "Means for inputting information on date of birth and place of birth" refers to an interface used by a user to input his or her date of birth and place of birth into the system.

[0316] "Means for generating a horoscope" refers to a function that creates a celestial map based on the input date of birth and place of birth information.

[0317] "Means using a generative AI model to perform analysis based on the generated horoscope" means a mechanism that utilizes a generative AI model to analyze the generated horoscope data.

[0318] The "means for preprocessing data relating to the user's worries and problems" refers to a processing device that converts data relating to worries and problems input by the user into a format that is easy to analyze.

[0319] "Means for inputting preprocessed data into the generative AI model" refers to the function of supplying worry data that has undergone preprocessing to the generative AI model.

[0320] "Means for adjusting the content and tone of generated advice to suit the user's emotions" refers to a function for optimizing generated advice text according to the user's emotional state.

[0321] "Means for generating advice in text format for concerns and issues based on the analysis results" refers to the function of creating advice in text format based on the analysis results of the generative AI model.

[0322] "Means for outputting generated advice to a user" means a device that displays or transmits the generated advice in a format that can be viewed by a user.

[0323] "Means for saving the generated horoscope data in a database" refers to a function for storing the generated horoscope data in a database.

[0324] "Means for providing stored data for analysis" refers to a function for utilizing data stored in a database as basic information for analysis.

[0325] "Means for analyzing user reactions and adjusting generated advice" refers to a function for analyzing user feedback and reactions and readjusting the advice content based on that.

[0326] The term "means for displaying the generated advice text on the user terminal in real time" refers to a function for promptly displaying the generated advice on the user terminal.

[0327] This invention is a system that generates a horoscope based on the user's input of date of birth and place of birth, and then uses a generative AI model to analyze the generated horoscope to provide appropriate advice for the user's worries and problems. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, the system aims to improve the accuracy of advice and the user experience.

[0328] System Configuration

[0329] User terminal

[0330] Users access the system's web form using a PC or mobile device with a web browser and enter the required information, such as their date of birth, place of birth, and concerns or issues.

[0331] server

[0332] The server receives data sent by users and executes the processes of horoscope generation, data analysis, and advice generation. It also has an emotion engine that analyzes users' emotions. These processes are handled by the following components:

[0333] Data receiving module: This module receives input data from the user and converts the date of birth, place of birth, and worries data into a standard format.

[0334] Horoscope generation module: This module generates a celestial arrangement chart (horoscope) based on the received date of birth and place of birth information.

[0335] Database module: This module stores the generated horoscope data. If necessary, the stored data is used for analysis.

[0336] Text preprocessing module: This module preprocesses user concern data for analysis. It uses natural language processing techniques to convert text data into a standard format.

[0337] Generative AI model module: This is an AI module that analyzes the generated horoscope data and pre-processed worry data and generates advice.

[0338] Emotion engine module: This module analyzes the user's input worry data and reactions and adjusts the advice generated.

[0339] Advice output module: This module generates advice in text format based on the output of the generative AI model and sends it to the user's device.

[0340] Specific examples

[0341] User operations

[0342] A user accesses the site on October 1, 2023, enters their date of birth (January 1, 1990), place of birth (Tokyo), and concern (I don't know what direction to take in my career) into the form, and clicks the submit button.

[0343] Server Operation

[0344] 1. The data receiving module receives the data and converts it into a standard format.

[0345] 2. The horoscope generation module generates a horoscope for "January 1, 1990" and "Tokyo."

[0346] 3. The database module stores the generated horoscope data.

[0347] 4. The text preprocessing module preprocesses the worry data "I don't know what direction to take in my career."

[0348] 5. The generative AI model module analyzes the horoscope and pre-processed data and generates advice such as: "Jupiter offers opportunities for expansion and growth during this period, but Saturn's influence also creates constraints, so careful decision-making is required."

[0349] 6. The emotion engine module adjusts the tone and content of the advice displayed in response to the user's concerns.

[0350] 7. The advice output module displays the generated advice text on the user's screen in real time.

[0351] Prompt Sentence Examples

[0352] Enter your details in the format: "Date of birth: January 1, 1990, Place of birth: Tokyo, Problem: I don't know what direction to take my career. Please give me some advice."

[0353] This system allows users to instantly receive professional astrological advice without having to undergo a face-to-face consultation. Furthermore, by utilizing an emotion engine, it is possible to provide more appropriate advice based on the user's psychological state. Furthermore, by analyzing the data stored in the database, the system can contribute to future marketing strategies and understanding user needs.

[0354] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0355] Step 1:

[0356] Input: The user enters date of birth, place of birth, and problem information into a web form.

[0357] How it works: A user visits a web page, fills in the form with "Date of birth: January 1, 1990," "Place of birth: Tokyo," and "Problem: I don't know what career direction to take," and clicks the submit button.

[0358] Output: The entered data is sent to the server.

[0359] Step 2:

[0360] Input: The server receives the date of birth, place of birth, and trouble data sent by the user.

[0361] Operation: The server's data receiving module receives this data and converts it into a standard format (e.g., ISO 8601 date, UTF-8 encoded text).

[0362] Output: Data converted into a standard format.

[0363] Step 3:

[0364] Input: Date of birth and place of birth data converted into a standard format.

[0365] Operation: The server's horoscope generation module generates a celestial arrangement (horoscope) based on this data.

[0366] Output: Generated horoscope data.

[0367] Step 4:

[0368] Input: Generated horoscope data.

[0369] Operation: The database module of the server stores the generated horoscope data in the database.

[0370] Output: Horoscope data stored in a database.

[0371] Step 5:

[0372] Input: Worry data converted into a standard format.

[0373] How it works: The server's text preprocessing module preprocesses the complaint data for analysis, for example using natural language processing (NLP) techniques such as tokenization, normalization, and stop word removal.

[0374] Output: Preprocessed trouble data.

[0375] Step 6:

[0376] Input: Preprocessed worry data and generated horoscope data.

[0377] How it works: The server's generation AI model module analyzes this data and generates advice.

[0378] Output: Generated advice (e.g., "Jupiter offers opportunities for expansion and growth during this period, but Saturn's influence also limits it, so careful consideration is needed").

[0379] Step 7:

[0380] Input: The generated advice.

[0381] How it works: The server's emotion engine module analyzes the user's emotions from their worries and past data, and adjusts the tone and content of the generated advice.

[0382] Output: Advice tailored to emotions.

[0383] Step 8:

[0384] Input: Emotionally tailored advice.

[0385] Operation: The advice output module of the server displays this advice text on the user terminal in real time.

[0386] Output: Advice displayed on the user's terminal.

[0387] (Application example 2)

[0388] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0389] Conventional astrology systems require users to receive face-to-face consultations, resulting in low immediacy and convenience. Furthermore, the advice provided does not adapt to the user's psychological state, leaving room for improvement in the user experience. Furthermore, there are issues with the difficulty of providing instant responses to daily horoscopes and individual concerns.

[0390] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0391] In this invention, the server includes means for inputting information on the date of birth and place of birth, means for generating a horoscope, means for using a generative AI model that performs analysis based on the generated horoscope, means for generating advice for worries and issues in text format based on the analysis results, means for outputting the generated advice to the user, means for using an emotion analysis engine that recognizes the user's emotions and adjusts the content of the advice, means for notifying the user of the advice to their mobile device, and means for automatically generating and delivering a daily or weekly horoscope to the user. This makes it possible to provide astrological advice in real time and to provide a variety of advice according to the user's psychological state.

[0392] The "means for inputting date of birth and place of birth information" is a device or software that provides an interface for a user to input their date of birth and place of birth.

[0393] "Means for generating a horoscope" refers to software or algorithms for generating a celestial map (horoscope) based on input information on date of birth and place of birth.

[0394] "Means using a generative AI model to perform analysis based on a generated horoscope" refers to a process and software that uses an AI model to analyze a generated horoscope.

[0395] "Means for generating advice in text format for the user's worries and issues based on the analysis results" refers to algorithms and software for generating advice in text format for the user's worries and issues based on the analysis results of the AI ​​model.

[0396] The "means for outputting the generated advice to the user" refers to an interface or software for displaying or transmitting the generated text advice to the user's device.

[0397] The "means of using an emotion analysis engine that recognizes the user's emotions and adjusts the content of advice" is software that analyzes emotions from data entered by the user and adjusts the content of advice based on the results.

[0398] The "means for notifying the user's mobile device of advice" refers to communication means and software for notifying the user's mobile device of the generated advice.

[0399] "Means for automatically generating and distributing daily or weekly horoscopes to users" refers to systems and software for automatically generating horoscopes on a daily or weekly basis and distributing them to users.

[0400] The "means for storing the generated horoscope data in a database" refers to a database for storing the generated horoscope data for a long period of time and a system for managing the database.

[0401] "Means for providing stored data for analysis" refers to means and software for retrieving and using data stored in a database for analysis.

[0402] The "means for displaying advice text in real time on a user's mobile device" refers to a communication means and an interface for displaying the generated advice in real time on a user's mobile device.

[0403] "Means for inputting preprocessed data into a generative AI model" refers to a means for inputting preprocessed data related to worries or issues into a generative AI model.

[0404] The "means for generating advice including emotional data analyzed by an emotional analysis engine" refers to a means for generating more appropriate advice based on the emotional data analyzed by an emotional analysis engine.

[0405] The "means for providing individual advice to a user using a prompt sentence" is a means for creating a prompt sentence based on data input by a user or generated data, and for providing individual advice based on the prompt sentence.

[0406] This invention is a system that generates a horoscope based on a user's date of birth and place of birth information, and provides appropriate advice to the user regarding their worries and problems. The system is composed of a user terminal, a server, and necessary software components.

[0407] System Configuration

[0408] User terminal

[0409] The user accesses the provided application using an internet-connected smartphone. The application provides a form for entering information such as date of birth, place of birth, and concerns. Once the information is complete, it is sent to the server.

[0410] server

[0411] The server receives the user's input data and performs horoscope generation, data analysis, advice generation, and user sentiment analysis. These processes are implemented by the following software components:

[0412] The data receiving module is a module that receives data sent from a user and converts the date of birth, place of birth, and worry data into a standard format.

[0413] The horoscope generation module is a module that generates a horoscope based on information about the date of birth and place of birth.

[0414] The database module is a module that stores the generated horoscope and the user's input data.

[0415] The text preprocessing module is a module that preprocesses user worry data for analysis.

[0416] The generative AI model module is an AI module that analyzes the generated horoscope data and preprocessed worry data to generate advice in text format.

[0417] The emotion engine module is a module that analyzes emotions from the user's input data and adjusts the content of advice.

[0418] The advice output module is a module that displays advice on the user's device based on the output of the generative AI model.

[0419] Hardware and software used

[0420] Smartphone (user device): iOS or Android device.

[0421] Server: A web server using Flask.

[0422] Horoscope generation: Horoscope API.

[0423] Sentiment analysis engine: NLP library (e.g. Google Cloud Natural Language API).

[0424] Generative AI model: A self-made generative AI model (e.g., GPT-3).

[0425] Specific examples

[0426] A user uses the application on October 1, 2023, enters their date of birth (January 1, 1990), place of birth (Tokyo), and concern (work stress) into the form, and clicks the submit button. The data reception module converts the received data into a standard format, and the horoscope generation module generates a horoscope for January 1, 1990 and Tokyo. The generated data is stored in the database module, and the text preprocessing module preprocesses the concern data. The generative AI model then analyzes the horoscope and preprocessed data to generate advice. For example, the generated advice is "I recommend you take a rest this week," and is adjusted by the emotion engine module. Finally, the advice output module displays the advice text on the user's device in real time.

[0427] Prompt Sentence Examples

[0428] Date of Birth: January 1, 1990

[0429] Place of birth: Tokyo

[0430] Problem: I'm under a lot of stress at work

[0431] horoscope:

[0432] Sun: Capricorn

[0433] Moon: Sagittarius

[0434] Venus: Aquarius

[0435] ...

[0436] Emotion: Stress

[0437] Based on this, please provide advice to users.

[0438] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0439] Step 1:

[0440] The user enters their date of birth, place of birth, and worries into the smartphone application and clicks the send button. The entered data is sent to the server. The input data includes the date of birth, place of birth, and the text of the worries, and is sent to the server as is.

[0441] Step 2:

[0442] The server's data receiving module receives the date of birth, place of birth, and worry data sent by the user. The received data is converted into a standard format. The input data includes the date of birth, place of birth, and text of the worry, and the standard format data is generated as output.

[0443] Step 3:

[0444] The server's horoscope generation module generates a horoscope based on the date of birth and place of birth information converted into a standard format. A celestial map is generated and output as a horoscope.

[0445] Step 4:

[0446] The database module of the server stores the generated horoscope data in the database. There is generated horoscope data as input and the data is stored in the database.

[0447] Step 5:

[0448] The server's text preprocessing module preprocesses the user's worry data and converts the worry text data into a format that is easy to analyze. The worry text data is the input, and the preprocessed text data is obtained as the output.

[0449] Step 6:

[0450] The server's generation AI model module analyzes the generated horoscope data and preprocessed worry data to generate advice. Horoscope data and preprocessed worry data are input, and advice in text format is generated as output.

[0451] Step 7:

[0452] The server's emotion engine module analyzes the user's worries and reactions to determine their emotions and adjusts the advice content. The input is the user's worries and analyzed emotions, and the output is advice tailored to their emotions.

[0453] Step 8:

[0454] The advice output module of the server notifies the generated advice to the user's mobile device, with the adjusted advice text as input and the advice text being displayed on the user's device as output.

[0455] Step 9:

[0456] The server's daily or weekly horoscope generation module automatically generates and delivers horoscopes to users, taking the automation schedule as input and delivering the daily or weekly horoscope to the user's device as output.

[0457] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0458] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0459] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0460] [Second embodiment]

[0461] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0462] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0463] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0464] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0465] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0466] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0467] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0468] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0469] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0470] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0471] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0472] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0473] The astrology system of the present invention allows users to input information about their date of birth and place of birth, generates a horoscope based on that information, and uses a generative AI model to analyze the generated horoscope to provide appropriate advice for the user's worries and problems. This system is implemented by a combination of a user terminal, a server, and necessary software components.

[0474] System Configuration

[0475] User terminal

[0476] Users access the system's web form using a PC or mobile device with a web browser and enter the required information, such as their date of birth, place of birth, and concerns or issues.

[0477] server

[0478] The server receives the data sent by the user and executes the processes of horoscope generation, data analysis, and advice generation. These processes are handled by the following components:

[0479] Data receiving module: This module receives input data from the user. It converts the date of birth, place of birth, and worries data into a standard format.

[0480] Horoscope generation module: This module generates a celestial arrangement chart (horoscope) based on the received date of birth and place of birth information.

[0481] Database module: This module stores the generated horoscope data. If necessary, the stored data is used for analysis.

[0482] Text preprocessing module: This module preprocesses user's worries data for analysis. It converts the text data into a standard format.

[0483] Generative AI model module: This is an AI module that analyzes the generated horoscope data and pre-processed worry data and generates advice.

[0484] Advice output module: This module generates advice in text format based on the output of the generative AI model and sends it to the user's device.

[0485] Program processing

[0486] User terminal

[0487] 1. The user enters their date of birth, place of birth, and concerns in a web form.

[0488] 2. Once the input is complete, the data is sent to the server.

[0489] server

[0490] 1. The data receiving module receives the date of birth, place of birth, and worries data sent by the user and converts them into a standard format.

[0491] 2. The horoscope generation module generates a celestial map based on the received date of birth and place of birth information.

[0492] 3. The database module stores the generated horoscope in the database.

[0493] 4. The text preprocessing module preprocesses the user's worry data and converts it into a format suitable for analysis.

[0494] 5. The generative AI model module analyzes the horoscope data and pre-processed worry data to generate appropriate advice.

[0495] 6. The advice output module sends the generated advice text to the user and displays it on the web page.

[0496] Specific examples

[0497] User operations

[0498] A user accesses the site on October 1, 2023, enters their date of birth (January 1, 1990), place of birth (Tokyo), and concern (I don't know what direction to take in my career) into the form, and clicks the submit button.

[0499] Server Operation

[0500] 1. The data receiving module receives the data and converts it into a standard format.

[0501] 2. The horoscope generation module generates a horoscope for "January 1, 1990" and "Tokyo."

[0502] 3. The database module stores the generated horoscope data.

[0503] 4. The text preprocessing module preprocesses the worry data “I don’t know what direction to take in my career.”

[0504] 5. The generative AI model module analyzes the horoscope and pre-processed data and generates advice: "Jupiter offers opportunities for expansion and growth during this period, but there are also constraints due to the influence of Saturn, so careful decision-making is required."

[0505] 6. The advice output module displays the advice text on the user's screen.

[0506] In this way, the system of the present invention allows users to receive immediate advice based on professional astrology without having to undergo a face-to-face consultation. Furthermore, by analyzing the data stored in the database, the system contributes to future marketing strategies and understanding of user needs.

[0507] The processing flow will be explained below.

[0508] Step 1: User Input

[0509] User:

[0510] 1. Access the web page.

[0511] 2. Enter your date of birth, place of birth, and problem (issue) in the form.

[0512] 3. After completing the entry, click the "Submit" button.

[0513] Step 2: Receiving and Preprocessing Data

[0514] server:

[0515] 1. Receive data sent by the user.

[0516] 2. Check the received date of birth, place of birth, and concern data and convert it into a standard format.

[0517] 3. Preprocess the text-format worry data and convert it into a format suitable for analysis.

[0518] Step 3: Generate your horoscope

[0519] server:

[0520] 1. Enter the date of birth and place of birth information converted into standard format into the horoscope generation module.

[0521] 2. The horoscope generation module generates a celestial arrangement diagram (horoscope) based on the given information.

[0522] 3. Save the generated horoscope data in the database.

[0523] Step 4: Analyzing the horoscope data

[0524] server:

[0525] 1. Retrieve the horoscope data stored in the database.

[0526] 2. Prepare the preprocessed worry data for input into the generative AI model.

[0527] Step 5: Generative AI model generates advice

[0528] server:

[0529] 1. Input the horoscope data and preprocessed worry data into the generative AI model.

[0530] 2. The generative AI model analyzes the horoscope and worry data to generate appropriate advice for worries and issues.

[0531] 3. Format the AI-generated advice into text format for display to the user.

[0532] Step 6: Providing advice

[0533] server:

[0534] 1. Send the formatted advice text to the user's terminal.

[0535] 2. Display the generated advice on a web page.

[0536] User:

[0537] 1. Check the advice displayed on the web page.

[0538] 2. Submit additional questions or requests for reanalysis, if necessary.

[0539] Example 1

[0540] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0541] In modern society, many people seek prompt and appropriate advice for their worries and problems. However, traditional astrological readings require face-to-face consultations, which are limited in time and location. Furthermore, even among automated astrological systems, there are only a limited number of systems that can properly analyze data provided by users and provide highly accurate advice. The present invention aims to solve these problems.

[0542] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0543] In this invention, the server includes means for a user to input information on date of birth and place of birth, means for transmitting the input data to the server, means for converting the received data into a standard format, means for generating a horoscope, means for storing the generated horoscope in a database, means for preprocessing worry data, means for analyzing the generated horoscope data and the preprocessed worry data and using a generative AI model to generate advice, and means for outputting advice generated based on the analysis results to the user in text format. This enables a user to instantly receive advice based on professional astrology without the need for face-to-face consultation.

[0544] The term "user" refers to a person who uses the system of the present invention and inputs information such as their date of birth, birthplace, worries and problems.

[0545] "Server" refers to a computer system that receives data sent from users, generates horoscopes and performs data analysis, and provides generated advice to users.

[0546] "Date of birth" refers to the information of the date of birth entered by the user.

[0547] "Place of birth" refers to information about one's place of birth entered by the user.

[0548] "Horoscope" refers to a celestial map generated based on a user's date of birth and place of birth.

[0549] "Generative AI model" refers to an artificial intelligence model that analyzes the generated horoscope data and preprocessed worry data and generates appropriate advice.

[0550] "Database" refers to a storage device for storing generated horoscope data and other related information.

[0551] "Preprocessing" refers to the process of converting data about worries and issues entered by the user into a format suitable for analysis.

[0552] "Analysis" refers to the data analysis performed by the generative AI model based on horoscope data and preprocessed worry data.

[0553] "Advice" refers to advice or suggestions that are generated based on the analysis results and provided to the user.

[0554] "Text format" refers to a format in which advice is expressed as text information.

[0555] The astrology system of the present invention allows users to input their own date of birth and place of birth information, generates a horoscope based on that information, and uses a generative AI model to analyze the generated horoscope to provide appropriate advice to the user regarding their worries and problems. This system is implemented by a combination of a user terminal, a server, and various software components.

[0556] The user terminal is a PC or mobile device equipped with a web browser. Using these terminals, users access the system's web form and enter information about their date of birth, birthplace, and worries or issues. Once the input is complete, the data is sent from the user terminal to the server.

[0557] The server receives the data sent by the user and performs various processes. First, the data reception module receives the information sent by the user and converts it into a standard format. Common web server software (such as Apache or Nginx) can be used for this purpose.

[0558] Next, the horoscope generation module generates a celestial map (horoscope) based on the received date of birth and place of birth information. This module performs calculations using, for example, the Python astronomical calculation library "PyEphem."

[0559] The generated horoscope data is saved in a database using the database module. The database is typically a relational database such as MySQL or PostgreSQL. The saved data is used for later analysis.

[0560] Next, a text preprocessing module preprocesses the user-provided worry data and converts it into a format suitable for analysis. For this preprocessing, it is effective to use natural language processing libraries such as "NLTK" and "spaCy."

[0561] The generative AI model module analyzes the pre-processed data and generated horoscope data using an advanced generative AI model such as the Transformer-based model GPT-3. The generative AI model generates appropriate advice based on the input data.

[0562] Finally, the advice output module provides the generated advice to the user in text format. The generated advice text is sent to the user terminal as an HTTP response and displayed on the user's web browser.

[0563] As a specific example, suppose a user accesses the site on October 1, 2023, enters the following concerns into the form: "Born on January 1, 1990," "Born in Tokyo," "I don't know what direction to take my career," and submits it. The server receives this data and converts it into a standard format. Next, a horoscope is generated, and a celestial map is created. This data is then stored in a database, and the concern data is preprocessed. The generative AI model analyzes it and generates advice: "Jupiter offers opportunities for expansion and growth during this period, but there are also constraints due to the influence of Saturn, so careful decision-making is required." Finally, this advice text is sent to the user's device.

[0564] An example of a prompt sentence is "Date of birth: January 1, 1990, Place of birth: Tokyo, Concern: I don't know what career direction to take." Based on this information, the generative AI model provides appropriate advice.

[0565] In this way, the system of the present invention provides users with the ability to easily input their own data and receive prompt astrological advice based on that data. By implementing this system, it becomes possible to obtain professional advice from anywhere without the need for a face-to-face consultation.

[0566] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0567] Step 1:

[0568] Users open a web browser on their PC or smartphone and access the astrology system's web form, where they enter information about their date of birth, place of birth, and concerns or challenges. Input fields are designed to ensure accurate data entry using calendar selection and drop-down menus.

[0569] Input: Date of birth, place of birth, worries

[0570] Output: User data entered (date of birth, place of birth, concerns)

[0571] Step 2:

[0572] When the user has completed the input, they click the "Submit" button to send the data from the user's terminal to the server. This action generates an HTTP request, and the data is received by the server.

[0573] Input: User data (date of birth, place of birth, concerns)

[0574] Output: HTTP request to the server

[0575] Step 3:

[0576] The server's data receiving module receives HTTP requests sent by users, extracts the data sent, and converts it into a standard format, such as JSON or XML.

[0577] Input: HTTP request

[0578] Output: Data converted into standard format (date of birth, place of birth, worries)

[0579] Step 4:

[0580] The server's horoscope generation module generates a celestial map (horoscope) based on the received date of birth and place of birth information. This process is performed using the Python astronomical calculation library "PyEphem" and other tools.

[0581] Input: Date of birth, place of birth

[0582] Output: Horoscope data (astronomical map)

[0583] Step 5:

[0584] The server's database module stores the generated horoscope data in a database using a relational database such as MySQL or PostgreSQL. At this stage, the stored data is used for later analysis.

[0585] Input: Horoscope data

[0586] Output: Horoscope data stored in a database

[0587] Step 6:

[0588] The server's text preprocessing module preprocesses the user-provided worry data and converts it into a format suitable for analysis. For preprocessing, natural language processing libraries such as "NLTK" and "spaCy" are used to tokenize, normalize, and convert the text data into features.

[0589] Input: Worry data

[0590] Output: Preprocessed trouble data

[0591] Step 7:

[0592] The server's generative AI model module analyzes the generated horoscope data and pre-processed worry data to generate advice. The generative AI model uses advanced models such as GPT-3.

[0593] Input: Horoscope data, preprocessed worry data

[0594] Output: Parsed advice data

[0595] Step 8:

[0596] The advice output module of the server generates the advice data in text format and sends it to the user terminal. The generated advice is returned to the user as an HTTP response.

[0597] Input: Parsed advice data

[0598] Output: HTTP response (advice text)

[0599] Step 9:

[0600] The web browser on the user's device receives the advice text sent from the server and displays it on the user's screen. For example, the received data is dynamically rendered on the screen using a front-end framework such as JavaScript or Vue.js.

[0601] Input: HTTP response (advice text)

[0602] Output: Advice displayed to the user.

[0603] In this way, users can receive instant, professional astrological advice without the need for a face-to-face consultation.

[0604] (Application example 1)

[0605] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0606] In conventional astrology systems, it was difficult for users to receive personalized content, and advice and information based on specific interests were not adequately delivered. This meant that appropriate and specific advice could not be provided to address users' concerns and interests, resulting in a decrease in satisfaction.

[0607] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0608] In this invention, the server includes means for inputting information on date of birth and place of birth, means for generating a horoscope, means for using a generative AI model that performs analysis based on the generated horoscope, means for generating advice for worries and issues in text format based on the analysis results, means for generating personalized content based on the generated horoscope and user interest data, and means for delivering and displaying the generated content to a user terminal, thereby enabling users to receive specific and personalized advice and content based on their individual worries and interests.

[0609] "Information on date of birth and place of birth" refers to data indicating the user's date of birth and place of birth, and is basic information for generating an individual horoscope based on astrology.

[0610] A "horoscope" is a chart showing the positions of celestial bodies, generated based on a user's date of birth and place of birth, and serves as the basis for astrological analysis.

[0611] A "generative AI model" is an artificial intelligence model that analyzes the generated horoscope and the user's worries and interests data to generate appropriate advice and personalized content.

[0612] "Personalized content" includes individualized information and advice generated by a generative AI model tailored to a user's interests and concerns.

[0613] "User terminal" refers to a device used by a user to access the astrology system, including, for example, a smartphone or PC.

[0614] The "database" is an information management system for storing the generated horoscopes and user interest information, and the stored data is used for subsequent analysis and content generation.

[0615] "Preprocessing" is the process of converting user concerns and interest data into a format that is easier to analyze, creating data optimized for input into a generative AI model.

[0616] "Content distribution" refers to the process of transmitting the generated personalized content to a user terminal and displaying it.

[0617] "Advice generation" is the process of analyzing the horoscope and the user's worry data using a generative AI model, and creating specific advice for the user based on the results.

[0618] This invention is a system that generates an astrological horoscope when a user inputs information about their date of birth and place of birth, and then provides advice and personalized content using a generative AI model based on the generated horoscope and the user's concerns and interests.

[0619] System Configuration

[0620] User terminal

[0621] This is the device that users use to input data. This can be a smartphone, PC, etc. The terminal application provides input forms that allow users to enter information such as date of birth, place of birth, interests, and concerns. It also includes an interface for displaying generated advice and content.

[0622] server

[0623] The server includes the following main modules:

[0624] Data receiving module: Receives data such as date of birth, place of birth, interests, and worries sent by the user and converts it into a standard format. Specifically, it processes HTTP requests and extracts the necessary data.

[0625] Horoscope generation module: Generates a horoscope using an astronomical calculation library (e.g., PyEphem) based on the received date of birth and place of birth information.

[0626] Database module: The generated horoscope data and user interest data are stored in a database such as PostgreSQL and used for analysis.

[0627] Text preprocessing module: Preprocesses user concerns and interests using a natural language processing library (e.g., SpaCy) and converts them into a format suitable for input to the generative AI model.

[0628] Generative AI model module: Based on the generated horoscope and pre-processed data, a generative AI model (e.g., GPT-3) is used to generate personalized advice and content.

[0629] Content delivery module: The generated content is delivered to the user's device using services such as Firebase and displayed so that the user can view it.

[0630] Specific examples

[0631] Operating Procedure

[0632] A user starts the smartphone app, enters their date of birth (January 1, 1990) and place of birth (Tokyo) on the new registration screen, selects "health" and "career" as their interests, and enters "I don't know what direction my career should take" as their concern. Then, they click the submit button.

[0633] Server Processing

[0634] 1. The data receiving module receives the user data and converts it into a standard format.

[0635] 2. The horoscope generation module generates a horoscope based on "January 1, 1990" and "Tokyo."

[0636] 3. The database module stores the generated horoscope data.

[0637] 4. The text preprocessing module preprocesses the interest data and worry data of “health,” “career,” and “not sure about career direction.”

[0638] 5. The generative AI model module analyzes the horoscope and pre-processed data to generate personalized advice and content, such as "Jupiter's influence will bring good career opportunities, but Saturn's influence will also be significant, so it's important to maintain a balance" or "This month's health is relatively good, making it a good time to exercise."

[0639] 6. The content distribution module distributes the generated content to the user terminal and displays it.

[0640] Prompt Sentence Examples

[0641] The user's date of birth is January 1, 1990, and their birthplace is Tokyo. Their concern is "I don't know what direction to take in my career." Based on their horoscope, generate advice for this user based on their interests: health, career.

[0642] The system allows users to receive immediate, specific, and personalized astrological advice and content.

[0643] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0644] Step 1:

[0645] A user starts the smartphone app and enters their date of birth, place of birth, interests, and concerns on the new registration screen. The entered data may include, for example, "January 1, 1990" (date of birth), "Tokyo" (place of birth), "health, career" (interests), and "not sure about career direction" (concern).

[0646] Step 2:

[0647] The user terminal sends the input data to the server using an HTTP request, which is then received by the server.

[0648] Step 3:

[0649] The server's data receiving module converts the received data on date of birth, place of birth, interests, and concerns into a standard format. Specifically, it converts text data into JSON format, thereby ensuring data consistency.

[0650] Step 4:

[0651] The server's horoscope generation module generates a horoscope using an astronomical calculation library (e.g., PyEphem) based on the birth date (January 1, 1990) and birth place (Tokyo). The input data is the birth date and birth place, and the output data is the generated horoscope data.

[0652] Step 5:

[0653] The generated horoscope data is stored in a database by the server's database module. Specifically, it is stored using a relational database management system such as PostgreSQL. The input data is the horoscope data, and the output is the status of successful database storage.

[0654] Step 6:

[0655] The server's text preprocessing module preprocesses the user's concern, "I don't know what career direction to take," and the interest data, "health, career." This preprocessing uses a natural language processing library (e.g., SpaCy) to perform tokenization, syntactic analysis, and other processes to convert the data into a format suitable for input to a generative AI model. The input is the user's text data, and the output is the preprocessed data.

[0656] Step 7:

[0657] The server's generative AI model module analyzes the generated horoscope data and preprocessed worries and interests data to generate personalized advice and content. This analysis uses a generative AI model (e.g., GPT-3) to generate specific advice for the user. For example, "Jupiter's influence will bring good career opportunities, but Saturn's influence will also be strong, so it's important to maintain a balance," or "This month's health is relatively good, making it a good time for exercise." The input is the horoscope data and preprocessed data, and the output is the generated advice and content.

[0658] Step 8:

[0659] The server's content delivery module delivers the generated advice and content to the user device via a service such as Firebase and displays them in an appropriate UI. The input is advice and content data, and the output is the status of successful display on the user device and the advice and content received by the user.

[0660] Prompt Sentence Examples

[0661] The user's date of birth is January 1, 1990, and their birthplace is Tokyo. Their concern is "I don't know what direction to take in my career." Based on their horoscope, generate advice for this user based on their interests: health, career.

[0662] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0663] The astrology system of the present invention generates a horoscope based on the user's input of date of birth and place of birth, and then uses a generative AI model to analyze the generated horoscope to provide appropriate advice for the user's worries and problems. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, the accuracy of the advice and the user experience are improved. This system is implemented by a combination of a user terminal, a server, and necessary software components.

[0664] System Configuration

[0665] User terminal

[0666] Users access the system's web form using a PC or mobile device with a web browser and enter the required information, such as their date of birth, place of birth, and concerns or issues.

[0667] server

[0668] The server receives data sent by users and executes the processes of horoscope generation, data analysis, and advice generation. It also has an emotion engine that analyzes users' emotions. These processes are handled by the following components:

[0669] Data receiving module: This module receives input data from the user. It converts the date of birth, place of birth, and worries data into a standard format.

[0670] Horoscope generation module: This module generates a celestial arrangement chart (horoscope) based on the received date of birth and place of birth information.

[0671] Database module: This module stores the generated horoscope data. If necessary, the stored data is used for analysis.

[0672] Text preprocessing module: This module preprocesses user's worries data for analysis. It converts the text data into a standard format.

[0673] Generative AI model module: This is an AI module that analyzes the generated horoscope data and pre-processed worry data and generates advice.

[0674] Emotion engine module: This module analyzes the user's input worry data and reactions and adjusts the advice generated.

[0675] Advice output module: This module generates advice in text format based on the output of the generative AI model and sends it to the user's device.

[0676] Program processing

[0677] User terminal

[0678] 1. The user enters their date of birth, place of birth, and concerns in a web form.

[0679] 2. Once the input is complete, the data is sent to the server.

[0680] server

[0681] 1. The data receiving module receives the date of birth, place of birth, and worries data sent by the user and converts them into a standard format.

[0682] 2. The horoscope generation module generates a celestial arrangement diagram (horoscope) based on the given information.

[0683] 3. Save the generated horoscope data in the database.

[0684] 4. The text preprocessing module preprocesses the user's worry data and converts it into a format suitable for analysis.

[0685] 5. The generative AI model module analyzes the horoscope data and pre-processed worry data and generates advice.

[0686] 6. The emotion engine module recognizes the user's emotion in the text content of the generated advice and adjusts the advice content.

[0687] 7. The advice output module displays the generated advice text on the user's screen in real time.

[0688] Specific examples

[0689] User operations

[0690] A user accesses the site on October 1, 2023, enters their date of birth (January 1, 1990), place of birth (Tokyo), and concern (I don't know what direction to take in my career) into the form, and clicks the submit button.

[0691] Server Operation

[0692] 1. The data receiving module receives the data and converts it into a standard format.

[0693] 2. The horoscope generation module generates a horoscope for "January 1, 1990" and "Tokyo."

[0694] 3. The database module stores the generated horoscope data.

[0695] 4. The text preprocessing module preprocesses the worry data “I don’t know what direction to take in my career.”

[0696] 5. The generative AI model module analyzes the horoscope and pre-processed data and generates advice: "Jupiter offers opportunities for expansion and growth during this period, but there are also constraints due to the influence of Saturn, so careful decision-making is required."

[0697] 6. The emotion engine module adjusts the tone and content of the advice displayed to address the user's concerns.

[0698] 7. The advice output module displays the advice text on the user's screen in real time.

[0699] In this way, the system of the present invention allows users to instantly receive advice based on professional astrology without having to undergo a face-to-face consultation. Furthermore, by utilizing an emotion engine, it is possible to provide more appropriate advice that is tailored to the user's psychological state. By analyzing the data stored in the database, the system also contributes to future marketing strategies and understanding user needs.

[0700] The processing flow will be explained below.

[0701] Step 1: User Input

[0702] User:

[0703] 1. Access the web page.

[0704] 2. Enter your date of birth, place of birth, and problem (issue) in the form.

[0705] 3. Once you have completed the entry, click the "Submit" button.

[0706] Step 2: Receiving and Preprocessing Data

[0707] server:

[0708] 1. Receive data sent by the user.

[0709] 2. Convert the received date of birth, place of birth, and distress data into a standard format.

[0710] 3. Preprocess the text-format worry data and convert it into a format suitable for analysis.

[0711] Step 3: Generate your horoscope

[0712] server:

[0713] 1. Enter the date of birth and place of birth information converted into standard format into the horoscope generation module.

[0714] 2. The horoscope generation module generates a celestial arrangement diagram (horoscope) based on the given information.

[0715] 3. Save the generated horoscope data in the database.

[0716] Step 4: Analyzing the horoscope data

[0717] server:

[0718] 1. Retrieve the horoscope data stored in the database.

[0719] 2. Prepare the preprocessed worry data for input into the generative AI model.

[0720] Step 5: Generative AI model generates advice

[0721] server:

[0722] 1. Input the horoscope data and preprocessed worry data into the generative AI model.

[0723] 2. The generative AI model analyzes the horoscope and worry data to generate appropriate advice for worries and issues.

[0724] Step 6: Emotional Engine Alignment

[0725] server:

[0726] 1. The generated advice text is input to the emotion engine module.

[0727] 2. The emotion engine analyzes the user's input concerns and reactions and adjusts the generated advice according to the user's emotions.

[0728] Step 7: Providing advice

[0729] server:

[0730] 1. Prepare to send advice adjusted by the emotion engine to the user device.

[0731] 2. Open a web page and display the advice to the user.

[0732] User:

[0733] 1. Check the advice displayed on the web page.

[0734] 2. Submit additional questions or requests for reanalysis, if necessary.

[0735] Specific examples

[0736] User operations

[0737] A user accesses the site on October 1, 2023, enters their date of birth (January 1, 1990), place of birth (Tokyo), and concern (I don't know what direction to take in my career) into the form, and clicks the submit button.

[0738] Server Operation

[0739] 1. The data receiving module receives the data and converts it into a standard format.

[0740] 2. The horoscope generation module generates a horoscope for "January 1, 1990" and "Tokyo."

[0741] 3. The database module stores the generated horoscope data.

[0742] 4. The text preprocessing module preprocesses the worry data “I don’t know what direction to take in my career.”

[0743] 5. The generative AI model module analyzes the horoscope and pre-processed data and generates advice: "Jupiter offers opportunities for expansion and growth during this period, but there are also constraints due to the influence of Saturn, so careful decision-making is required."

[0744] 6. The emotion engine module recognizes the user's anxieties and hopes about their career and adjusts the tone and specific content of the advice: "The anxieties you are feeling are natural. Taking on new challenges during this time will bring you great opportunities for growth. However, it is important to proceed with caution."

[0745] 7. The advice output module displays the adjusted advice text on the user's screen in real time.

[0746] In this way, the system of the present invention allows users to instantly receive advice based on professional astrology without having to undergo a face-to-face consultation. Furthermore, by utilizing an emotion engine, it is possible to provide more appropriate advice that is tailored to the user's psychological state. By analyzing data stored in the database, the system also contributes to future marketing strategies and understanding of user needs.

[0747] Example 2

[0748] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0749] Conventional astrology systems require users to receive a face-to-face consultation, making it difficult to obtain immediate expert advice. Furthermore, they are unable to provide advice that takes into account the user's emotions and psychological state, limiting the improvement of the user experience.

[0750] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for inputting information on the date of birth and place of birth, means for generating a horoscope, means for using a generative AI model that performs analysis based on the generated horoscope, means for preprocessing data related to the user's worries and issues, means for inputting the preprocessed data into the generative AI model, means for adjusting the content and tone of the generated advice to match the user's emotions, means for generating advice on the worries and issues in text format based on the analysis results, and means for outputting the generated advice to the user. This allows the user to instantly receive professional astrological advice without having to undergo face-to-face consultation, and further allows the user to receive more appropriate advice that takes into account the user's emotions and psychological state.

[0751] "Means for inputting information on date of birth and place of birth" refers to an interface used by a user to input his or her date of birth and place of birth into the system.

[0752] "Means for generating a horoscope" refers to a function that creates a celestial map based on the input date of birth and place of birth information.

[0753] "Means using a generative AI model to perform analysis based on the generated horoscope" means a mechanism that utilizes a generative AI model to analyze the generated horoscope data.

[0754] The "means for preprocessing data relating to the user's worries and problems" refers to a processing device that converts data relating to worries and problems input by the user into a format that is easy to analyze.

[0755] "Means for inputting preprocessed data into the generative AI model" refers to the function of supplying worry data that has undergone preprocessing to the generative AI model.

[0756] "Means for adjusting the content and tone of generated advice to suit the user's emotions" refers to a function for optimizing generated advice text according to the user's emotional state.

[0757] "Means for generating advice in text format for concerns and issues based on the analysis results" refers to the function of creating advice in text format based on the analysis results of the generative AI model.

[0758] "Means for outputting generated advice to a user" means a device that displays or transmits the generated advice in a format that can be viewed by a user.

[0759] "Means for saving the generated horoscope data in a database" refers to a function for storing the generated horoscope data in a database.

[0760] "Means for providing stored data for analysis" refers to a function for utilizing data stored in a database as basic information for analysis.

[0761] "Means for analyzing user reactions and adjusting generated advice" refers to a function for analyzing user feedback and reactions and readjusting the advice content based on that.

[0762] The term "means for displaying the generated advice text on the user terminal in real time" refers to a function for promptly displaying the generated advice on the user terminal.

[0763] This invention is a system that generates a horoscope based on the user's input of date of birth and place of birth, and then uses a generative AI model to analyze the generated horoscope to provide appropriate advice for the user's worries and problems. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, the system aims to improve the accuracy of advice and the user experience.

[0764] System Configuration

[0765] User terminal

[0766] Users access the system's web form using a PC or mobile device with a web browser and enter the required information, such as their date of birth, place of birth, and concerns or issues.

[0767] server

[0768] The server receives data sent by users and executes the processes of horoscope generation, data analysis, and advice generation. It also has an emotion engine that analyzes users' emotions. These processes are handled by the following components:

[0769] Data receiving module: This module receives input data from the user and converts the date of birth, place of birth, and worries data into a standard format.

[0770] Horoscope generation module: This module generates a celestial arrangement chart (horoscope) based on the received date of birth and place of birth information.

[0771] Database module: This module stores the generated horoscope data. If necessary, the stored data is used for analysis.

[0772] Text preprocessing module: This module preprocesses user concern data for analysis. It uses natural language processing techniques to convert text data into a standard format.

[0773] Generative AI model module: This is an AI module that analyzes the generated horoscope data and pre-processed worry data and generates advice.

[0774] Emotion engine module: This module analyzes the user's input worry data and reactions and adjusts the advice generated.

[0775] Advice output module: This module generates advice in text format based on the output of the generative AI model and sends it to the user's device.

[0776] Specific examples

[0777] User operations

[0778] A user accesses the site on October 1, 2023, enters their date of birth (January 1, 1990), place of birth (Tokyo), and concern (I don't know what direction to take in my career) into the form, and clicks the submit button.

[0779] Server Operation

[0780] 1. The data receiving module receives the data and converts it into a standard format.

[0781] 2. The horoscope generation module generates a horoscope for "January 1, 1990" and "Tokyo."

[0782] 3. The database module stores the generated horoscope data.

[0783] 4. The text preprocessing module preprocesses the worry data "I don't know what direction to take in my career."

[0784] 5. The generative AI model module analyzes the horoscope and pre-processed data and generates advice such as: "Jupiter offers opportunities for expansion and growth during this period, but Saturn's influence also creates constraints, so careful decision-making is required."

[0785] 6. The emotion engine module adjusts the tone and content of the advice displayed in response to the user's concerns.

[0786] 7. The advice output module displays the generated advice text on the user's screen in real time.

[0787] Prompt Sentence Examples

[0788] Enter your details in the format: "Date of birth: January 1, 1990, Place of birth: Tokyo, Problem: I don't know what direction to take my career. Please give me some advice."

[0789] This system allows users to instantly receive professional astrological advice without having to undergo a face-to-face consultation. Furthermore, by utilizing an emotion engine, it is possible to provide more appropriate advice based on the user's psychological state. Furthermore, by analyzing the data stored in the database, the system can contribute to future marketing strategies and understanding user needs.

[0790] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0791] Step 1:

[0792] Input: The user enters date of birth, place of birth, and problem information into a web form.

[0793] How it works: A user visits a web page, fills in the form with "Date of birth: January 1, 1990," "Place of birth: Tokyo," and "Problem: I don't know what career direction to take," and clicks the submit button.

[0794] Output: The entered data is sent to the server.

[0795] Step 2:

[0796] Input: The server receives the date of birth, place of birth, and trouble data sent by the user.

[0797] Operation: The server's data receiving module receives this data and converts it into a standard format (e.g., ISO 8601 date, UTF-8 encoded text).

[0798] Output: Data converted into a standard format.

[0799] Step 3:

[0800] Input: Date of birth and place of birth data converted into a standard format.

[0801] Operation: The server's horoscope generation module generates a celestial arrangement (horoscope) based on this data.

[0802] Output: Generated horoscope data.

[0803] Step 4:

[0804] Input: Generated horoscope data.

[0805] Operation: The database module of the server stores the generated horoscope data in the database.

[0806] Output: Horoscope data stored in a database.

[0807] Step 5:

[0808] Input: Worry data converted into a standard format.

[0809] How it works: The server's text preprocessing module preprocesses the complaint data for analysis, for example using natural language processing (NLP) techniques such as tokenization, normalization, and stop word removal.

[0810] Output: Preprocessed trouble data.

[0811] Step 6:

[0812] Input: Preprocessed worry data and generated horoscope data.

[0813] How it works: The server's generation AI model module analyzes this data and generates advice.

[0814] Output: Generated advice (e.g., "Jupiter offers opportunities for expansion and growth during this period, but Saturn's influence also limits it, so careful consideration is needed").

[0815] Step 7:

[0816] Input: The generated advice.

[0817] How it works: The server's emotion engine module analyzes the user's emotions from their worries and past data, and adjusts the tone and content of the generated advice.

[0818] Output: Advice tailored to emotions.

[0819] Step 8:

[0820] Input: Emotionally tailored advice.

[0821] Operation: The advice output module of the server displays this advice text on the user terminal in real time.

[0822] Output: Advice displayed on the user's terminal.

[0823] (Application example 2)

[0824] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0825] Conventional astrology systems require users to receive face-to-face consultations, resulting in low immediacy and convenience. Furthermore, the advice provided does not adapt to the user's psychological state, leaving room for improvement in the user experience. Furthermore, there are issues with the difficulty of providing instant responses to daily horoscopes and individual concerns.

[0826] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0827] In this invention, the server includes means for inputting information on the date of birth and place of birth, means for generating a horoscope, means for using a generative AI model that performs analysis based on the generated horoscope, means for generating advice for worries and issues in text format based on the analysis results, means for outputting the generated advice to the user, means for using an emotion analysis engine that recognizes the user's emotions and adjusts the content of the advice, means for notifying the user of the advice to their mobile device, and means for automatically generating and delivering a daily or weekly horoscope to the user. This makes it possible to provide astrological advice in real time and to provide a variety of advice according to the user's psychological state.

[0828] The "means for inputting date of birth and place of birth information" is a device or software that provides an interface for a user to input their date of birth and place of birth.

[0829] "Means for generating a horoscope" refers to software or algorithms for generating a celestial map (horoscope) based on input information on date of birth and place of birth.

[0830] "Means using a generative AI model to perform analysis based on a generated horoscope" refers to a process and software that uses an AI model to analyze a generated horoscope.

[0831] "Means for generating advice in text format for the user's worries and issues based on the analysis results" refers to algorithms and software for generating advice in text format for the user's worries and issues based on the analysis results of the AI ​​model.

[0832] The "means for outputting the generated advice to the user" refers to an interface or software for displaying or transmitting the generated text advice to the user's device.

[0833] The "means of using an emotion analysis engine that recognizes the user's emotions and adjusts the content of advice" is software that analyzes emotions from data entered by the user and adjusts the content of advice based on the results.

[0834] The "means for notifying the user's mobile device of advice" refers to communication means and software for notifying the user's mobile device of the generated advice.

[0835] "Means for automatically generating and distributing daily or weekly horoscopes to users" refers to systems and software for automatically generating horoscopes on a daily or weekly basis and distributing them to users.

[0836] The "means for storing the generated horoscope data in a database" refers to a database for storing the generated horoscope data for a long period of time and a system for managing the database.

[0837] "Means for providing stored data for analysis" refers to means and software for retrieving and using data stored in a database for analysis.

[0838] The "means for displaying advice text in real time on a user's mobile device" refers to a communication means and an interface for displaying the generated advice in real time on a user's mobile device.

[0839] "Means for inputting preprocessed data into a generative AI model" refers to a means for inputting preprocessed data related to worries or issues into a generative AI model.

[0840] The "means for generating advice including emotional data analyzed by an emotional analysis engine" refers to a means for generating more appropriate advice based on the emotional data analyzed by an emotional analysis engine.

[0841] The "means for providing individual advice to a user using a prompt sentence" is a means for creating a prompt sentence based on data input by a user or generated data, and for providing individual advice based on the prompt sentence.

[0842] This invention is a system that generates a horoscope based on a user's date of birth and place of birth information, and provides appropriate advice to the user regarding their worries and problems. The system is composed of a user terminal, a server, and necessary software components.

[0843] System Configuration

[0844] User terminal

[0845] The user accesses the provided application using an internet-connected smartphone. The application provides a form for entering information such as date of birth, place of birth, and concerns. Once the information is complete, it is sent to the server.

[0846] server

[0847] The server receives the user's input data and performs horoscope generation, data analysis, advice generation, and user sentiment analysis. These processes are implemented by the following software components:

[0848] The data receiving module is a module that receives data sent from a user and converts the date of birth, place of birth, and worry data into a standard format.

[0849] The horoscope generation module is a module that generates a horoscope based on information about the date of birth and place of birth.

[0850] The database module is a module that stores the generated horoscope and the user's input data.

[0851] The text preprocessing module is a module that preprocesses user worry data for analysis.

[0852] The generative AI model module is an AI module that analyzes the generated horoscope data and preprocessed worry data to generate advice in text format.

[0853] The emotion engine module is a module that analyzes emotions from the user's input data and adjusts the content of advice.

[0854] The advice output module is a module that displays advice on the user's device based on the output of the generative AI model.

[0855] Hardware and software used

[0856] Smartphone (user device): iOS or Android device.

[0857] Server: A web server using Flask.

[0858] Horoscope generation: Horoscope API.

[0859] Sentiment analysis engine: NLP library (e.g. Google Cloud Natural Language API).

[0860] Generative AI model: A self-made generative AI model (e.g., GPT-3).

[0861] Specific examples

[0862] A user uses the application on October 1, 2023, enters their date of birth (January 1, 1990), place of birth (Tokyo), and concern (work stress) into the form, and clicks the submit button. The data reception module converts the received data into a standard format, and the horoscope generation module generates a horoscope for January 1, 1990 and Tokyo. The generated data is stored in the database module, and the text preprocessing module preprocesses the concern data. The generative AI model then analyzes the horoscope and preprocessed data to generate advice. For example, the generated advice is "I recommend you take a rest this week," and is adjusted by the emotion engine module. Finally, the advice output module displays the advice text on the user's device in real time.

[0863] Prompt Sentence Examples

[0864] Date of Birth: January 1, 1990

[0865] Place of birth: Tokyo

[0866] Problem: I'm under a lot of stress at work

[0867] horoscope:

[0868] Sun: Capricorn

[0869] Moon: Sagittarius

[0870] Venus: Aquarius

[0871] ...

[0872] Emotion: Stress

[0873] Based on this, please provide advice to users.

[0874] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0875] Step 1:

[0876] The user enters their date of birth, place of birth, and worries into the smartphone application and clicks the send button. The entered data is sent to the server. The input data includes the date of birth, place of birth, and the text of the worries, and is sent to the server as is.

[0877] Step 2:

[0878] The server's data receiving module receives the date of birth, place of birth, and worry data sent by the user. The received data is converted into a standard format. The input data includes the date of birth, place of birth, and text of the worry, and the standard format data is generated as output.

[0879] Step 3:

[0880] The server's horoscope generation module generates a horoscope based on the date of birth and place of birth information converted into a standard format. A celestial map is generated and output as a horoscope.

[0881] Step 4:

[0882] The database module of the server stores the generated horoscope data in the database. There is generated horoscope data as input and the data is stored in the database.

[0883] Step 5:

[0884] The server's text preprocessing module preprocesses the user's worry data and converts the worry text data into a format that is easy to analyze. The worry text data is the input, and the preprocessed text data is obtained as the output.

[0885] Step 6:

[0886] The server's generation AI model module analyzes the generated horoscope data and preprocessed worry data to generate advice. Horoscope data and preprocessed worry data are input, and advice in text format is generated as output.

[0887] Step 7:

[0888] The server's emotion engine module analyzes the user's worries and reactions to determine their emotions and adjusts the advice content. The input is the user's worries and analyzed emotions, and the output is advice tailored to their emotions.

[0889] Step 8:

[0890] The advice output module of the server notifies the generated advice to the user's mobile device, with the adjusted advice text as input and the advice text being displayed on the user's device as output.

[0891] Step 9:

[0892] The server's daily or weekly horoscope generation module automatically generates and delivers horoscopes to users, taking the automation schedule as input and delivering the daily or weekly horoscope to the user's device as output.

[0893] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0894] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0895] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0896] [Third embodiment]

[0897] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0898] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0899] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0900] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0901] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0902] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0903] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0904] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0905] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0906] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0907] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0908] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0909] The astrology system of the present invention allows users to input information about their date of birth and place of birth, generates a horoscope based on that information, and uses a generative AI model to analyze the generated horoscope to provide appropriate advice for the user's worries and problems. This system is implemented by a combination of a user terminal, a server, and necessary software components.

[0910] System Configuration

[0911] User terminal

[0912] Users access the system's web form using a PC or mobile device with a web browser and enter the required information, such as their date of birth, place of birth, and concerns or issues.

[0913] server

[0914] The server receives the data sent by the user and executes the processes of horoscope generation, data analysis, and advice generation. These processes are handled by the following components:

[0915] Data receiving module: This module receives input data from the user. It converts the date of birth, place of birth, and worries data into a standard format.

[0916] Horoscope generation module: This module generates a celestial arrangement chart (horoscope) based on the received date of birth and place of birth information.

[0917] Database module: This module stores the generated horoscope data. If necessary, the stored data is used for analysis.

[0918] Text preprocessing module: This module preprocesses user's worries data for analysis. It converts the text data into a standard format.

[0919] Generative AI model module: This is an AI module that analyzes the generated horoscope data and pre-processed worry data and generates advice.

[0920] Advice output module: This module generates advice in text format based on the output of the generative AI model and sends it to the user's device.

[0921] Program processing

[0922] User terminal

[0923] 1. The user enters their date of birth, place of birth, and concerns in a web form.

[0924] 2. Once the input is complete, the data is sent to the server.

[0925] server

[0926] 1. The data receiving module receives the date of birth, place of birth, and worries data sent by the user and converts them into a standard format.

[0927] 2. The horoscope generation module generates a celestial map based on the received date of birth and place of birth information.

[0928] 3. The database module stores the generated horoscope in the database.

[0929] 4. The text preprocessing module preprocesses the user's worry data and converts it into a format suitable for analysis.

[0930] 5. The generative AI model module analyzes the horoscope data and pre-processed worry data to generate appropriate advice.

[0931] 6. The advice output module sends the generated advice text to the user and displays it on the web page.

[0932] Specific examples

[0933] User operations

[0934] A user accesses the site on October 1, 2023, enters their date of birth (January 1, 1990), place of birth (Tokyo), and concern (I don't know what direction to take in my career) into the form, and clicks the submit button.

[0935] Server Operation

[0936] 1. The data receiving module receives the data and converts it into a standard format.

[0937] 2. The horoscope generation module generates a horoscope for "January 1, 1990" and "Tokyo."

[0938] 3. The database module stores the generated horoscope data.

[0939] 4. The text preprocessing module preprocesses the worry data “I don’t know what direction to take in my career.”

[0940] 5. The generative AI model module analyzes the horoscope and pre-processed data and generates advice: "Jupiter offers opportunities for expansion and growth during this period, but there are also constraints due to the influence of Saturn, so careful decision-making is required."

[0941] 6. The advice output module displays the advice text on the user's screen.

[0942] In this way, the system of the present invention allows users to receive immediate advice based on professional astrology without having to undergo a face-to-face consultation. Furthermore, by analyzing the data stored in the database, the system contributes to future marketing strategies and understanding of user needs.

[0943] The processing flow will be explained below.

[0944] Step 1: User Input

[0945] User:

[0946] 1. Access the web page.

[0947] 2. Enter your date of birth, place of birth, and problem (issue) in the form.

[0948] 3. After completing the entry, click the "Submit" button.

[0949] Step 2: Receiving and Preprocessing Data

[0950] server:

[0951] 1. Receive data sent by the user.

[0952] 2. Check the received date of birth, place of birth, and concern data and convert it into a standard format.

[0953] 3. Preprocess the text-format worry data and convert it into a format suitable for analysis.

[0954] Step 3: Generate your horoscope

[0955] server:

[0956] 1. Enter the date of birth and place of birth information converted into standard format into the horoscope generation module.

[0957] 2. The horoscope generation module generates a celestial arrangement diagram (horoscope) based on the given information.

[0958] 3. Save the generated horoscope data in the database.

[0959] Step 4: Analyzing the horoscope data

[0960] server:

[0961] 1. Retrieve the horoscope data stored in the database.

[0962] 2. Prepare the preprocessed worry data for input into the generative AI model.

[0963] Step 5: Generative AI model generates advice

[0964] server:

[0965] 1. Input the horoscope data and preprocessed worry data into the generative AI model.

[0966] 2. The generative AI model analyzes the horoscope and worry data to generate appropriate advice for worries and issues.

[0967] 3. Format the AI-generated advice into text format for display to the user.

[0968] Step 6: Providing advice

[0969] server:

[0970] 1. Send the formatted advice text to the user's terminal.

[0971] 2. Display the generated advice on a web page.

[0972] User:

[0973] 1. Check the advice displayed on the web page.

[0974] 2. Submit additional questions or requests for reanalysis, if necessary.

[0975] Example 1

[0976] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0977] In modern society, many people seek prompt and appropriate advice for their worries and problems. However, traditional astrological readings require face-to-face consultations, which are limited in time and location. Furthermore, even among automated astrological systems, there are only a limited number of systems that can properly analyze data provided by users and provide highly accurate advice. The present invention aims to solve these problems.

[0978] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0979] In this invention, the server includes means for a user to input information on date of birth and place of birth, means for transmitting the input data to the server, means for converting the received data into a standard format, means for generating a horoscope, means for storing the generated horoscope in a database, means for preprocessing worry data, means for analyzing the generated horoscope data and the preprocessed worry data and using a generative AI model to generate advice, and means for outputting advice generated based on the analysis results to the user in text format. This enables a user to instantly receive advice based on professional astrology without the need for face-to-face consultation.

[0980] The term "user" refers to a person who uses the system of the present invention and inputs information such as their date of birth, birthplace, worries and problems.

[0981] "Server" refers to a computer system that receives data sent from users, generates horoscopes and performs data analysis, and provides generated advice to users.

[0982] "Date of birth" refers to the information of the date of birth entered by the user.

[0983] "Place of birth" refers to information about one's place of birth entered by the user.

[0984] "Horoscope" refers to a celestial map generated based on a user's date of birth and place of birth.

[0985] "Generative AI model" refers to an artificial intelligence model that analyzes the generated horoscope data and preprocessed worry data and generates appropriate advice.

[0986] "Database" refers to a storage device for storing generated horoscope data and other related information.

[0987] "Preprocessing" refers to the process of converting data about worries and issues entered by the user into a format suitable for analysis.

[0988] "Analysis" refers to the data analysis performed by the generative AI model based on horoscope data and preprocessed worry data.

[0989] "Advice" refers to advice or suggestions that are generated based on the analysis results and provided to the user.

[0990] "Text format" refers to a format in which advice is expressed as text information.

[0991] The astrology system of the present invention allows users to input their own date of birth and place of birth information, generates a horoscope based on that information, and uses a generative AI model to analyze the generated horoscope to provide appropriate advice to the user regarding their worries and problems. This system is implemented by a combination of a user terminal, a server, and various software components.

[0992] The user terminal is a PC or mobile device equipped with a web browser. Using these terminals, users access the system's web form and enter information about their date of birth, birthplace, and worries or issues. Once the input is complete, the data is sent from the user terminal to the server.

[0993] The server receives the data sent by the user and performs various processes. First, the data reception module receives the information sent by the user and converts it into a standard format. Common web server software (such as Apache or Nginx) can be used for this purpose.

[0994] Next, the horoscope generation module generates a celestial map (horoscope) based on the received date of birth and place of birth information. This module performs calculations using, for example, the Python astronomical calculation library "PyEphem."

[0995] The generated horoscope data is saved in a database using the database module. The database is typically a relational database such as MySQL or PostgreSQL. The saved data is used for later analysis.

[0996] Next, a text preprocessing module preprocesses the user-provided worry data and converts it into a format suitable for analysis. For this preprocessing, it is effective to use natural language processing libraries such as "NLTK" and "spaCy."

[0997] The generative AI model module analyzes the pre-processed data and generated horoscope data using an advanced generative AI model such as the Transformer-based model GPT-3. The generative AI model generates appropriate advice based on the input data.

[0998] Finally, the advice output module provides the generated advice to the user in text format. The generated advice text is sent to the user terminal as an HTTP response and displayed on the user's web browser.

[0999] As a specific example, suppose a user accesses the site on October 1, 2023, enters the following concerns into the form: "Born on January 1, 1990," "Born in Tokyo," "I don't know what direction to take my career," and submits it. The server receives this data and converts it into a standard format. Next, a horoscope is generated, and a celestial map is created. This data is then stored in a database, and the concern data is preprocessed. The generative AI model analyzes it and generates advice: "Jupiter offers opportunities for expansion and growth during this period, but there are also constraints due to the influence of Saturn, so careful decision-making is required." Finally, this advice text is sent to the user's device.

[1000] An example of a prompt sentence is "Date of birth: January 1, 1990, Place of birth: Tokyo, Concern: I don't know what career direction to take." Based on this information, the generative AI model provides appropriate advice.

[1001] In this way, the system of the present invention provides users with the ability to easily input their own data and receive prompt astrological advice based on that data. By implementing this system, it becomes possible to obtain professional advice from anywhere without the need for a face-to-face consultation.

[1002] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1003] Step 1:

[1004] Users open a web browser on their PC or smartphone and access the astrology system's web form, where they enter information about their date of birth, place of birth, and concerns or challenges. Input fields are designed to ensure accurate data entry using calendar selection and drop-down menus.

[1005] Input: Date of birth, place of birth, worries

[1006] Output: User data entered (date of birth, place of birth, concerns)

[1007] Step 2:

[1008] When the user has completed the input, they click the "Submit" button to send the data from the user's terminal to the server. This action generates an HTTP request, and the data is received by the server.

[1009] Input: User data (date of birth, place of birth, concerns)

[1010] Output: HTTP request to the server

[1011] Step 3:

[1012] The server's data receiving module receives HTTP requests sent by users, extracts the data sent, and converts it into a standard format, such as JSON or XML.

[1013] Input: HTTP request

[1014] Output: Data converted into standard format (date of birth, place of birth, worries)

[1015] Step 4:

[1016] The server's horoscope generation module generates a celestial map (horoscope) based on the received date of birth and place of birth information. This process is performed using the Python astronomical calculation library "PyEphem" and other tools.

[1017] Input: Date of birth, place of birth

[1018] Output: Horoscope data (astronomical map)

[1019] Step 5:

[1020] The server's database module stores the generated horoscope data in a database using a relational database such as MySQL or PostgreSQL. At this stage, the stored data is used for later analysis.

[1021] Input: Horoscope data

[1022] Output: Horoscope data stored in a database

[1023] Step 6:

[1024] The server's text preprocessing module preprocesses the user-provided worry data and converts it into a format suitable for analysis. For preprocessing, natural language processing libraries such as "NLTK" and "spaCy" are used to tokenize, normalize, and convert the text data into features.

[1025] Input: Worry data

[1026] Output: Preprocessed trouble data

[1027] Step 7:

[1028] The server's generative AI model module analyzes the generated horoscope data and pre-processed worry data to generate advice. The generative AI model uses advanced models such as GPT-3.

[1029] Input: Horoscope data, preprocessed worry data

[1030] Output: Parsed advice data

[1031] Step 8:

[1032] The advice output module of the server generates the advice data in text format and sends it to the user terminal. The generated advice is returned to the user as an HTTP response.

[1033] Input: Parsed advice data

[1034] Output: HTTP response (advice text)

[1035] Step 9:

[1036] The web browser on the user's device receives the advice text sent from the server and displays it on the user's screen. For example, the received data is dynamically rendered on the screen using a front-end framework such as JavaScript or Vue.js.

[1037] Input: HTTP response (advice text)

[1038] Output: Advice displayed to the user.

[1039] In this way, users can receive instant, professional astrological advice without the need for a face-to-face consultation.

[1040] (Application example 1)

[1041] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1042] In conventional astrology systems, it was difficult for users to receive personalized content, and advice and information based on specific interests were not adequately delivered. This meant that appropriate and specific advice could not be provided to address users' concerns and interests, resulting in a decrease in satisfaction.

[1043] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1044] In this invention, the server includes means for inputting information on date of birth and place of birth, means for generating a horoscope, means for using a generative AI model that performs analysis based on the generated horoscope, means for generating advice for worries and issues in text format based on the analysis results, means for generating personalized content based on the generated horoscope and user interest data, and means for delivering and displaying the generated content to a user terminal, thereby enabling users to receive specific and personalized advice and content based on their individual worries and interests.

[1045] "Information on date of birth and place of birth" refers to data indicating the user's date of birth and place of birth, and is basic information for generating an individual horoscope based on astrology.

[1046] A "horoscope" is a chart showing the positions of celestial bodies, generated based on a user's date of birth and place of birth, and serves as the basis for astrological analysis.

[1047] A "generative AI model" is an artificial intelligence model that analyzes the generated horoscope and the user's worries and interests data to generate appropriate advice and personalized content.

[1048] "Personalized content" includes individualized information and advice generated by a generative AI model tailored to a user's interests and concerns.

[1049] "User terminal" refers to a device used by a user to access the astrology system, including, for example, a smartphone or PC.

[1050] The "database" is an information management system for storing the generated horoscopes and user interest information, and the stored data is used for subsequent analysis and content generation.

[1051] "Preprocessing" is the process of converting user concerns and interest data into a format that is easier to analyze, creating data optimized for input into a generative AI model.

[1052] "Content distribution" refers to the process of transmitting the generated personalized content to a user terminal and displaying it.

[1053] "Advice generation" is the process of analyzing the horoscope and the user's worry data using a generative AI model, and creating specific advice for the user based on the results.

[1054] This invention is a system that generates an astrological horoscope when a user inputs information about their date of birth and place of birth, and then provides advice and personalized content using a generative AI model based on the generated horoscope and the user's concerns and interests.

[1055] System Configuration

[1056] User terminal

[1057] This is the device that users use to input data. This can be a smartphone, PC, etc. The terminal application provides input forms that allow users to enter information such as date of birth, place of birth, interests, and concerns. It also includes an interface for displaying generated advice and content.

[1058] server

[1059] The server includes the following main modules:

[1060] Data receiving module: Receives data such as date of birth, place of birth, interests, and worries sent by the user and converts it into a standard format. Specifically, it processes HTTP requests and extracts the necessary data.

[1061] Horoscope generation module: Generates a horoscope using an astronomical calculation library (e.g., PyEphem) based on the received date of birth and place of birth information.

[1062] Database module: The generated horoscope data and user interest data are stored in a database such as PostgreSQL and used for analysis.

[1063] Text preprocessing module: Preprocesses user concerns and interests using a natural language processing library (e.g., SpaCy) and converts them into a format suitable for input to the generative AI model.

[1064] Generative AI model module: Based on the generated horoscope and pre-processed data, a generative AI model (e.g., GPT-3) is used to generate personalized advice and content.

[1065] Content delivery module: The generated content is delivered to the user's device using services such as Firebase and displayed so that the user can view it.

[1066] Specific examples

[1067] Operating Procedure

[1068] A user starts the smartphone app, enters their date of birth (January 1, 1990) and place of birth (Tokyo) on the new registration screen, selects "health" and "career" as their interests, and enters "I don't know what direction my career should take" as their concern. Then, they click the submit button.

[1069] Server Processing

[1070] 1. The data receiving module receives the user data and converts it into a standard format.

[1071] 2. The horoscope generation module generates a horoscope based on "January 1, 1990" and "Tokyo."

[1072] 3. The database module stores the generated horoscope data.

[1073] 4. The text preprocessing module preprocesses the interest data and worry data of “health,” “career,” and “not sure about career direction.”

[1074] 5. The generative AI model module analyzes the horoscope and pre-processed data to generate personalized advice and content, such as "Jupiter's influence will bring good career opportunities, but Saturn's influence will also be significant, so it's important to maintain a balance" or "This month's health is relatively good, making it a good time to exercise."

[1075] 6. The content distribution module distributes the generated content to the user terminal and displays it.

[1076] Prompt Sentence Examples

[1077] The user's date of birth is January 1, 1990, and their birthplace is Tokyo. Their concern is "I don't know what direction to take in my career." Based on their horoscope, generate advice for this user based on their interests: health, career.

[1078] The system allows users to receive immediate, specific, and personalized astrological advice and content.

[1079] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1080] Step 1:

[1081] A user starts the smartphone app and enters their date of birth, place of birth, interests, and concerns on the new registration screen. The entered data may include, for example, "January 1, 1990" (date of birth), "Tokyo" (place of birth), "health, career" (interests), and "not sure about career direction" (concern).

[1082] Step 2:

[1083] The user terminal sends the input data to the server using an HTTP request, which is then received by the server.

[1084] Step 3:

[1085] The server's data receiving module converts the received data on date of birth, place of birth, interests, and concerns into a standard format. Specifically, it converts text data into JSON format, thereby ensuring data consistency.

[1086] Step 4:

[1087] The server's horoscope generation module generates a horoscope using an astronomical calculation library (e.g., PyEphem) based on the birth date (January 1, 1990) and birth place (Tokyo). The input data is the birth date and birth place, and the output data is the generated horoscope data.

[1088] Step 5:

[1089] The generated horoscope data is stored in a database by the server's database module. Specifically, it is stored using a relational database management system such as PostgreSQL. The input data is the horoscope data, and the output is the status of successful database storage.

[1090] Step 6:

[1091] The server's text preprocessing module preprocesses the user's concern, "I don't know what career direction to take," and the interest data, "health, career." This preprocessing uses a natural language processing library (e.g., SpaCy) to perform tokenization, syntactic analysis, and other processes to convert the data into a format suitable for input to a generative AI model. The input is the user's text data, and the output is the preprocessed data.

[1092] Step 7:

[1093] The server's generative AI model module analyzes the generated horoscope data and preprocessed worries and interests data to generate personalized advice and content. This analysis uses a generative AI model (e.g., GPT-3) to generate specific advice for the user. For example, "Jupiter's influence will bring good career opportunities, but Saturn's influence will also be strong, so it's important to maintain a balance," or "This month's health is relatively good, making it a good time for exercise." The input is the horoscope data and preprocessed data, and the output is the generated advice and content.

[1094] Step 8:

[1095] The server's content delivery module delivers the generated advice and content to the user device via a service such as Firebase and displays them in an appropriate UI. The input is advice and content data, and the output is the status of successful display on the user device and the advice and content received by the user.

[1096] Prompt Sentence Examples

[1097] The user's date of birth is January 1, 1990, and their birthplace is Tokyo. Their concern is "I don't know what direction to take in my career." Based on their horoscope, generate advice for this user based on their interests: health, career.

[1098] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1099] The astrology system of the present invention generates a horoscope based on the user's input of date of birth and place of birth, and then uses a generative AI model to analyze the generated horoscope to provide appropriate advice for the user's worries and problems. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, the accuracy of the advice and the user experience are improved. This system is implemented by a combination of a user terminal, a server, and necessary software components.

[1100] System Configuration

[1101] User terminal

[1102] Users access the system's web form using a PC or mobile device with a web browser and enter the required information, such as their date of birth, place of birth, and concerns or issues.

[1103] server

[1104] The server receives data sent by users and executes the processes of horoscope generation, data analysis, and advice generation. It also has an emotion engine that analyzes users' emotions. These processes are handled by the following components:

[1105] Data receiving module: This module receives input data from the user. It converts the date of birth, place of birth, and worries data into a standard format.

[1106] Horoscope generation module: This module generates a celestial arrangement chart (horoscope) based on the received date of birth and place of birth information.

[1107] Database module: This module stores the generated horoscope data. If necessary, the stored data is used for analysis.

[1108] Text preprocessing module: This module preprocesses user's worries data for analysis. It converts the text data into a standard format.

[1109] Generative AI model module: This is an AI module that analyzes the generated horoscope data and pre-processed worry data and generates advice.

[1110] Emotion engine module: This module analyzes the user's input worry data and reactions and adjusts the advice generated.

[1111] Advice output module: This module generates advice in text format based on the output of the generative AI model and sends it to the user's device.

[1112] Program processing

[1113] User terminal

[1114] 1. The user enters their date of birth, place of birth, and concerns in a web form.

[1115] 2. Once the input is complete, the data is sent to the server.

[1116] server

[1117] 1. The data receiving module receives the date of birth, place of birth, and worries data sent by the user and converts them into a standard format.

[1118] 2. The horoscope generation module generates a celestial arrangement diagram (horoscope) based on the given information.

[1119] 3. Save the generated horoscope data in the database.

[1120] 4. The text preprocessing module preprocesses the user's worry data and converts it into a format suitable for analysis.

[1121] 5. The generative AI model module analyzes the horoscope data and pre-processed worry data and generates advice.

[1122] 6. The emotion engine module recognizes the user's emotion in the text content of the generated advice and adjusts the advice content.

[1123] 7. The advice output module displays the generated advice text on the user's screen in real time.

[1124] Specific examples

[1125] User operations

[1126] A user accesses the site on October 1, 2023, enters their date of birth (January 1, 1990), place of birth (Tokyo), and concern (I don't know what direction to take in my career) into the form, and clicks the submit button.

[1127] Server Operation

[1128] 1. The data receiving module receives the data and converts it into a standard format.

[1129] 2. The horoscope generation module generates a horoscope for "January 1, 1990" and "Tokyo."

[1130] 3. The database module stores the generated horoscope data.

[1131] 4. The text preprocessing module preprocesses the worry data “I don’t know what direction to take in my career.”

[1132] 5. The generative AI model module analyzes the horoscope and pre-processed data and generates advice: "Jupiter offers opportunities for expansion and growth during this period, but there are also constraints due to the influence of Saturn, so careful decision-making is required."

[1133] 6. The emotion engine module adjusts the tone and content of the advice displayed to address the user's concerns.

[1134] 7. The advice output module displays the advice text on the user's screen in real time.

[1135] In this way, the system of the present invention allows users to instantly receive advice based on professional astrology without having to undergo a face-to-face consultation. Furthermore, by utilizing an emotion engine, it is possible to provide more appropriate advice that is tailored to the user's psychological state. By analyzing the data stored in the database, the system also contributes to future marketing strategies and understanding user needs.

[1136] The processing flow will be explained below.

[1137] Step 1: User Input

[1138] User:

[1139] 1. Access the web page.

[1140] 2. Enter your date of birth, place of birth, and problem (issue) in the form.

[1141] 3. Once you have completed the entry, click the "Submit" button.

[1142] Step 2: Receiving and Preprocessing Data

[1143] server:

[1144] 1. Receive data sent by the user.

[1145] 2. Convert the received date of birth, place of birth, and distress data into a standard format.

[1146] 3. Preprocess the text-format worry data and convert it into a format suitable for analysis.

[1147] Step 3: Generate your horoscope

[1148] server:

[1149] 1. Enter the date of birth and place of birth information converted into standard format into the horoscope generation module.

[1150] 2. The horoscope generation module generates a celestial arrangement diagram (horoscope) based on the given information.

[1151] 3. Save the generated horoscope data in the database.

[1152] Step 4: Analyzing the horoscope data

[1153] server:

[1154] 1. Retrieve the horoscope data stored in the database.

[1155] 2. Prepare the preprocessed worry data for input into the generative AI model.

[1156] Step 5: Generative AI model generates advice

[1157] server:

[1158] 1. Input the horoscope data and preprocessed worry data into the generative AI model.

[1159] 2. The generative AI model analyzes the horoscope and worry data to generate appropriate advice for worries and issues.

[1160] Step 6: Emotional Engine Alignment

[1161] server:

[1162] 1. The generated advice text is input to the emotion engine module.

[1163] 2. The emotion engine analyzes the user's input concerns and reactions and adjusts the generated advice according to the user's emotions.

[1164] Step 7: Providing advice

[1165] server:

[1166] 1. Prepare to send advice adjusted by the emotion engine to the user device.

[1167] 2. Open a web page and display the advice to the user.

[1168] User:

[1169] 1. Check the advice displayed on the web page.

[1170] 2. Submit additional questions or requests for reanalysis, if necessary.

[1171] Specific examples

[1172] User operations

[1173] A user accesses the site on October 1, 2023, enters their date of birth (January 1, 1990), place of birth (Tokyo), and concern (I don't know what direction to take in my career) into the form, and clicks the submit button.

[1174] Server Operation

[1175] 1. The data receiving module receives the data and converts it into a standard format.

[1176] 2. The horoscope generation module generates a horoscope for "January 1, 1990" and "Tokyo."

[1177] 3. The database module stores the generated horoscope data.

[1178] 4. The text preprocessing module preprocesses the worry data “I don’t know what direction to take in my career.”

[1179] 5. The generative AI model module analyzes the horoscope and pre-processed data and generates advice: "Jupiter offers opportunities for expansion and growth during this period, but there are also constraints due to the influence of Saturn, so careful decision-making is required."

[1180] 6. The emotion engine module recognizes the user's anxieties and hopes about their career and adjusts the tone and specific content of the advice: "The anxieties you are feeling are natural. Taking on new challenges during this time will bring you great opportunities for growth. However, it is important to proceed with caution."

[1181] 7. The advice output module displays the adjusted advice text on the user's screen in real time.

[1182] In this way, the system of the present invention allows users to instantly receive advice based on professional astrology without having to undergo a face-to-face consultation. Furthermore, by utilizing an emotion engine, it is possible to provide more appropriate advice that is tailored to the user's psychological state. By analyzing data stored in the database, the system also contributes to future marketing strategies and understanding of user needs.

[1183] Example 2

[1184] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1185] Conventional astrology systems require users to receive a face-to-face consultation, making it difficult to obtain immediate expert advice. Furthermore, they are unable to provide advice that takes into account the user's emotions and psychological state, limiting the improvement of the user experience.

[1186] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for inputting information on the date of birth and place of birth, means for generating a horoscope, means for using a generative AI model that performs analysis based on the generated horoscope, means for preprocessing data related to the user's worries and issues, means for inputting the preprocessed data into the generative AI model, means for adjusting the content and tone of the generated advice to match the user's emotions, means for generating advice on the worries and issues in text format based on the analysis results, and means for outputting the generated advice to the user. This allows the user to instantly receive professional astrological advice without having to undergo face-to-face consultation, and further allows the user to receive more appropriate advice that takes into account the user's emotions and psychological state.

[1187] "Means for inputting information on date of birth and place of birth" refers to an interface used by a user to input his or her date of birth and place of birth into the system.

[1188] "Means for generating a horoscope" refers to a function that creates a celestial map based on the input date of birth and place of birth information.

[1189] "Means using a generative AI model to perform analysis based on the generated horoscope" means a mechanism that utilizes a generative AI model to analyze the generated horoscope data.

[1190] The "means for preprocessing data relating to the user's worries and problems" refers to a processing device that converts data relating to worries and problems input by the user into a format that is easy to analyze.

[1191] "Means for inputting preprocessed data into the generative AI model" refers to the function of supplying worry data that has undergone preprocessing to the generative AI model.

[1192] "Means for adjusting the content and tone of generated advice to suit the user's emotions" refers to a function for optimizing generated advice text according to the user's emotional state.

[1193] "Means for generating advice in text format for concerns and issues based on the analysis results" refers to the function of creating advice in text format based on the analysis results of the generative AI model.

[1194] "Means for outputting generated advice to a user" means a device that displays or transmits the generated advice in a format that can be viewed by a user.

[1195] "Means for saving the generated horoscope data in a database" refers to a function for storing the generated horoscope data in a database.

[1196] "Means for providing stored data for analysis" refers to a function for utilizing data stored in a database as basic information for analysis.

[1197] "Means for analyzing user reactions and adjusting generated advice" refers to a function for analyzing user feedback and reactions and readjusting the advice content based on that.

[1198] The term "means for displaying the generated advice text on the user terminal in real time" refers to a function for promptly displaying the generated advice on the user terminal.

[1199] This invention is a system that generates a horoscope based on the user's input of date of birth and place of birth, and then uses a generative AI model to analyze the generated horoscope to provide appropriate advice for the user's worries and problems. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, the system aims to improve the accuracy of advice and the user experience.

[1200] System Configuration

[1201] User terminal

[1202] Users access the system's web form using a PC or mobile device with a web browser and enter the required information, such as their date of birth, place of birth, and concerns or issues.

[1203] server

[1204] The server receives data sent by users and executes the processes of horoscope generation, data analysis, and advice generation. It also has an emotion engine that analyzes users' emotions. These processes are handled by the following components:

[1205] Data receiving module: This module receives input data from the user and converts the date of birth, place of birth, and worries data into a standard format.

[1206] Horoscope generation module: This module generates a celestial arrangement chart (horoscope) based on the received date of birth and place of birth information.

[1207] Database module: This module stores the generated horoscope data. If necessary, the stored data is used for analysis.

[1208] Text preprocessing module: This module preprocesses user concern data for analysis. It uses natural language processing techniques to convert text data into a standard format.

[1209] Generative AI model module: This is an AI module that analyzes the generated horoscope data and pre-processed worry data and generates advice.

[1210] Emotion engine module: This module analyzes the user's input worry data and reactions and adjusts the advice generated.

[1211] Advice output module: This module generates advice in text format based on the output of the generative AI model and sends it to the user's device.

[1212] Specific examples

[1213] User operations

[1214] A user accesses the site on October 1, 2023, enters their date of birth (January 1, 1990), place of birth (Tokyo), and concern (I don't know what direction to take in my career) into the form, and clicks the submit button.

[1215] Server Operation

[1216] 1. The data receiving module receives the data and converts it into a standard format.

[1217] 2. The horoscope generation module generates a horoscope for "January 1, 1990" and "Tokyo."

[1218] 3. The database module stores the generated horoscope data.

[1219] 4. The text preprocessing module preprocesses the worry data "I don't know what direction to take in my career."

[1220] 5. The generative AI model module analyzes the horoscope and pre-processed data and generates advice such as: "Jupiter offers opportunities for expansion and growth during this period, but Saturn's influence also creates constraints, so careful decision-making is required."

[1221] 6. The emotion engine module adjusts the tone and content of the advice displayed in response to the user's concerns.

[1222] 7. The advice output module displays the generated advice text on the user's screen in real time.

[1223] Prompt Sentence Examples

[1224] Enter your details in the format: "Date of birth: January 1, 1990, Place of birth: Tokyo, Problem: I don't know what direction to take my career. Please give me some advice."

[1225] This system allows users to instantly receive professional astrological advice without having to undergo a face-to-face consultation. Furthermore, by utilizing an emotion engine, it is possible to provide more appropriate advice based on the user's psychological state. Furthermore, by analyzing the data stored in the database, the system can contribute to future marketing strategies and understanding user needs.

[1226] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1227] Step 1:

[1228] Input: The user enters date of birth, place of birth, and problem information into a web form.

[1229] How it works: A user visits a web page, fills in the form with "Date of birth: January 1, 1990," "Place of birth: Tokyo," and "Problem: I don't know what career direction to take," and clicks the submit button.

[1230] Output: The entered data is sent to the server.

[1231] Step 2:

[1232] Input: The server receives the date of birth, place of birth, and trouble data sent by the user.

[1233] Operation: The server's data receiving module receives this data and converts it into a standard format (e.g., ISO 8601 date, UTF-8 encoded text).

[1234] Output: Data converted into a standard format.

[1235] Step 3:

[1236] Input: Date of birth and place of birth data converted into a standard format.

[1237] Operation: The server's horoscope generation module generates a celestial arrangement (horoscope) based on this data.

[1238] Output: Generated horoscope data.

[1239] Step 4:

[1240] Input: Generated horoscope data.

[1241] Operation: The database module of the server stores the generated horoscope data in the database.

[1242] Output: Horoscope data stored in a database.

[1243] Step 5:

[1244] Input: Worry data converted into a standard format.

[1245] How it works: The server's text preprocessing module preprocesses the complaint data for analysis, for example using natural language processing (NLP) techniques such as tokenization, normalization, and stop word removal.

[1246] Output: Preprocessed trouble data.

[1247] Step 6:

[1248] Input: Preprocessed worry data and generated horoscope data.

[1249] How it works: The server's generation AI model module analyzes this data and generates advice.

[1250] Output: Generated advice (e.g., "Jupiter offers opportunities for expansion and growth during this period, but Saturn's influence also limits it, so careful consideration is needed").

[1251] Step 7:

[1252] Input: The generated advice.

[1253] How it works: The server's emotion engine module analyzes the user's emotions from their worries and past data, and adjusts the tone and content of the generated advice.

[1254] Output: Advice tailored to emotions.

[1255] Step 8:

[1256] Input: Emotionally tailored advice.

[1257] Operation: The advice output module of the server displays this advice text on the user terminal in real time.

[1258] Output: Advice displayed on the user's terminal.

[1259] (Application example 2)

[1260] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1261] Conventional astrology systems require users to receive face-to-face consultations, resulting in low immediacy and convenience. Furthermore, the advice provided does not adapt to the user's psychological state, leaving room for improvement in the user experience. Furthermore, there are issues with the difficulty of providing instant responses to daily horoscopes and individual concerns.

[1262] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1263] In this invention, the server includes means for inputting information on the date of birth and place of birth, means for generating a horoscope, means for using a generative AI model that performs analysis based on the generated horoscope, means for generating advice for worries and issues in text format based on the analysis results, means for outputting the generated advice to the user, means for using an emotion analysis engine that recognizes the user's emotions and adjusts the content of the advice, means for notifying the user of the advice to their mobile device, and means for automatically generating and delivering a daily or weekly horoscope to the user. This makes it possible to provide astrological advice in real time and to provide a variety of advice according to the user's psychological state.

[1264] The "means for inputting date of birth and place of birth information" is a device or software that provides an interface for a user to input their date of birth and place of birth.

[1265] "Means for generating a horoscope" refers to software or algorithms for generating a celestial map (horoscope) based on input information on date of birth and place of birth.

[1266] "Means using a generative AI model to perform analysis based on a generated horoscope" refers to a process and software that uses an AI model to analyze a generated horoscope.

[1267] "Means for generating advice in text format for the user's worries and issues based on the analysis results" refers to algorithms and software for generating advice in text format for the user's worries and issues based on the analysis results of the AI ​​model.

[1268] The "means for outputting the generated advice to the user" refers to an interface or software for displaying or transmitting the generated text advice to the user's device.

[1269] The "means of using an emotion analysis engine that recognizes the user's emotions and adjusts the content of advice" is software that analyzes emotions from data entered by the user and adjusts the content of advice based on the results.

[1270] The "means for notifying the user's mobile device of advice" refers to communication means and software for notifying the user's mobile device of the generated advice.

[1271] "Means for automatically generating and distributing daily or weekly horoscopes to users" refers to systems and software for automatically generating horoscopes on a daily or weekly basis and distributing them to users.

[1272] The "means for storing the generated horoscope data in a database" refers to a database for storing the generated horoscope data for a long period of time and a system for managing the database.

[1273] "Means for providing stored data for analysis" refers to means and software for retrieving and using data stored in a database for analysis.

[1274] The "means for displaying advice text in real time on a user's mobile device" refers to a communication means and an interface for displaying the generated advice in real time on a user's mobile device.

[1275] "Means for inputting preprocessed data into a generative AI model" refers to a means for inputting preprocessed data related to worries or issues into a generative AI model.

[1276] The "means for generating advice including emotional data analyzed by an emotional analysis engine" refers to a means for generating more appropriate advice based on the emotional data analyzed by an emotional analysis engine.

[1277] The "means for providing individual advice to a user using a prompt sentence" is a means for creating a prompt sentence based on data input by a user or generated data, and for providing individual advice based on the prompt sentence.

[1278] This invention is a system that generates a horoscope based on a user's date of birth and place of birth information, and provides appropriate advice to the user regarding their worries and problems. The system is composed of a user terminal, a server, and necessary software components.

[1279] System Configuration

[1280] User terminal

[1281] The user accesses the provided application using an internet-connected smartphone. The application provides a form for entering information such as date of birth, place of birth, and concerns. Once the information is complete, it is sent to the server.

[1282] server

[1283] The server receives the user's input data and performs horoscope generation, data analysis, advice generation, and user sentiment analysis. These processes are implemented by the following software components:

[1284] The data receiving module is a module that receives data sent from a user and converts the date of birth, place of birth, and worry data into a standard format.

[1285] The horoscope generation module is a module that generates a horoscope based on information about the date of birth and place of birth.

[1286] The database module is a module that stores the generated horoscope and the user's input data.

[1287] The text preprocessing module is a module that preprocesses user worry data for analysis.

[1288] The generative AI model module is an AI module that analyzes the generated horoscope data and preprocessed worry data to generate advice in text format.

[1289] The emotion engine module is a module that analyzes emotions from the user's input data and adjusts the content of advice.

[1290] The advice output module is a module that displays advice on the user's device based on the output of the generative AI model.

[1291] Hardware and software used

[1292] Smartphone (user device): iOS or Android device.

[1293] Server: A web server using Flask.

[1294] Horoscope generation: Horoscope API.

[1295] Sentiment analysis engine: NLP library (e.g. Google Cloud Natural Language API).

[1296] Generative AI model: A self-made generative AI model (e.g., GPT-3).

[1297] Specific examples

[1298] A user uses the application on October 1, 2023, enters their date of birth (January 1, 1990), place of birth (Tokyo), and concern (work stress) into the form, and clicks the submit button. The data reception module converts the received data into a standard format, and the horoscope generation module generates a horoscope for January 1, 1990 and Tokyo. The generated data is stored in the database module, and the text preprocessing module preprocesses the concern data. The generative AI model then analyzes the horoscope and preprocessed data to generate advice. For example, the generated advice is "I recommend you take a rest this week," and is adjusted by the emotion engine module. Finally, the advice output module displays the advice text on the user's device in real time.

[1299] Prompt Sentence Examples

[1300] Date of Birth: January 1, 1990

[1301] Place of birth: Tokyo

[1302] Problem: I'm under a lot of stress at work

[1303] horoscope:

[1304] Sun: Capricorn

[1305] Moon: Sagittarius

[1306] Venus: Aquarius

[1307] ...

[1308] Emotion: Stress

[1309] Based on this, please provide advice to users.

[1310] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1311] Step 1:

[1312] The user enters their date of birth, place of birth, and worries into the smartphone application and clicks the send button. The entered data is sent to the server. The input data includes the date of birth, place of birth, and the text of the worries, and is sent to the server as is.

[1313] Step 2:

[1314] The server's data receiving module receives the date of birth, place of birth, and worry data sent by the user. The received data is converted into a standard format. The input data includes the date of birth, place of birth, and text of the worry, and the standard format data is generated as output.

[1315] Step 3:

[1316] The server's horoscope generation module generates a horoscope based on the date of birth and place of birth information converted into a standard format. A celestial map is generated and output as a horoscope.

[1317] Step 4:

[1318] The database module of the server stores the generated horoscope data in the database. There is generated horoscope data as input and the data is stored in the database.

[1319] Step 5:

[1320] The server's text preprocessing module preprocesses the user's worry data and converts the worry text data into a format that is easy to analyze. The worry text data is the input, and the preprocessed text data is obtained as the output.

[1321] Step 6:

[1322] The server's generation AI model module analyzes the generated horoscope data and preprocessed worry data to generate advice. Horoscope data and preprocessed worry data are input, and advice in text format is generated as output.

[1323] Step 7:

[1324] The server's emotion engine module analyzes the user's worries and reactions to determine their emotions and adjusts the advice content. The input is the user's worries and analyzed emotions, and the output is advice tailored to their emotions.

[1325] Step 8:

[1326] The advice output module of the server notifies the generated advice to the user's mobile device, with the adjusted advice text as input and the advice text being displayed on the user's device as output.

[1327] Step 9:

[1328] The server's daily or weekly horoscope generation module automatically generates and delivers horoscopes to users, taking the automation schedule as input and delivering the daily or weekly horoscope to the user's device as output.

[1329] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1330] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1331] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1332] [Fourth embodiment]

[1333] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1334] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1335] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1336] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1337] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1338] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1339] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1340] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1341] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1342] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1343] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1344] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1345] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1346] The astrology system of the present invention allows users to input information about their date of birth and place of birth, generates a horoscope based on that information, and uses a generative AI model to analyze the generated horoscope to provide appropriate advice for the user's worries and problems. This system is implemented by a combination of a user terminal, a server, and necessary software components.

[1347] System Configuration

[1348] User terminal

[1349] Users access the system's web form using a PC or mobile device with a web browser and enter the required information, such as their date of birth, place of birth, and concerns or issues.

[1350] server

[1351] The server receives the data sent by the user and executes the processes of horoscope generation, data analysis, and advice generation. These processes are handled by the following components:

[1352] Data receiving module: This module receives input data from the user. It converts the date of birth, place of birth, and worries data into a standard format.

[1353] Horoscope generation module: This module generates a celestial arrangement chart (horoscope) based on the received date of birth and place of birth information.

[1354] Database module: This module stores the generated horoscope data. If necessary, the stored data is used for analysis.

[1355] Text preprocessing module: This module preprocesses user's worries data for analysis. It converts the text data into a standard format.

[1356] Generative AI model module: This is an AI module that analyzes the generated horoscope data and pre-processed worry data and generates advice.

[1357] Advice output module: This module generates advice in text format based on the output of the generative AI model and sends it to the user's device.

[1358] Program processing

[1359] User terminal

[1360] 1. The user enters their date of birth, place of birth, and concerns in a web form.

[1361] 2. Once the input is complete, the data is sent to the server.

[1362] server

[1363] 1. The data receiving module receives the date of birth, place of birth, and worries data sent by the user and converts them into a standard format.

[1364] 2. The horoscope generation module generates a celestial map based on the received date of birth and place of birth information.

[1365] 3. The database module stores the generated horoscope in the database.

[1366] 4. The text preprocessing module preprocesses the user's worry data and converts it into a format suitable for analysis.

[1367] 5. The generative AI model module analyzes the horoscope data and pre-processed worry data to generate appropriate advice.

[1368] 6. The advice output module sends the generated advice text to the user and displays it on the web page.

[1369] Specific examples

[1370] User operations

[1371] A user accesses the site on October 1, 2023, enters their date of birth (January 1, 1990), place of birth (Tokyo), and concern (I don't know what direction to take in my career) into the form, and clicks the submit button.

[1372] Server Operation

[1373] 1. The data receiving module receives the data and converts it into a standard format.

[1374] 2. The horoscope generation module generates a horoscope for "January 1, 1990" and "Tokyo."

[1375] 3. The database module stores the generated horoscope data.

[1376] 4. The text preprocessing module preprocesses the worry data “I don’t know what direction to take in my career.”

[1377] 5. The generative AI model module analyzes the horoscope and pre-processed data and generates advice: "Jupiter offers opportunities for expansion and growth during this period, but there are also constraints due to the influence of Saturn, so careful decision-making is required."

[1378] 6. The advice output module displays the advice text on the user's screen.

[1379] In this way, the system of the present invention allows users to receive immediate advice based on professional astrology without having to undergo a face-to-face consultation. Furthermore, by analyzing the data stored in the database, the system contributes to future marketing strategies and understanding of user needs.

[1380] The processing flow will be explained below.

[1381] Step 1: User Input

[1382] User:

[1383] 1. Access the web page.

[1384] 2. Enter your date of birth, place of birth, and problem (issue) in the form.

[1385] 3. After completing the entry, click the "Submit" button.

[1386] Step 2: Receiving and Preprocessing Data

[1387] server:

[1388] 1. Receive data sent by the user.

[1389] 2. Check the received date of birth, place of birth, and concern data and convert it into a standard format.

[1390] 3. Preprocess the text-format worry data and convert it into a format suitable for analysis.

[1391] Step 3: Generate your horoscope

[1392] server:

[1393] 1. Enter the date of birth and place of birth information converted into standard format into the horoscope generation module.

[1394] 2. The horoscope generation module generates a celestial arrangement diagram (horoscope) based on the given information.

[1395] 3. Save the generated horoscope data in the database.

[1396] Step 4: Analyzing the horoscope data

[1397] server:

[1398] 1. Retrieve the horoscope data stored in the database.

[1399] 2. Prepare the preprocessed worry data for input into the generative AI model.

[1400] Step 5: Generative AI model generates advice

[1401] server:

[1402] 1. Input the horoscope data and preprocessed worry data into the generative AI model.

[1403] 2. The generative AI model analyzes the horoscope and worry data to generate appropriate advice for worries and issues.

[1404] 3. Format the AI-generated advice into text format for display to the user.

[1405] Step 6: Providing advice

[1406] server:

[1407] 1. Send the formatted advice text to the user's terminal.

[1408] 2. Display the generated advice on a web page.

[1409] User:

[1410] 1. Check the advice displayed on the web page.

[1411] 2. Submit additional questions or requests for reanalysis, if necessary.

[1412] Example 1

[1413] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1414] In modern society, many people seek prompt and appropriate advice for their worries and problems. However, traditional astrological readings require face-to-face consultations, which are limited in time and location. Furthermore, even among automated astrological systems, there are only a limited number of systems that can properly analyze data provided by users and provide highly accurate advice. The present invention aims to solve these problems.

[1415] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1416] In this invention, the server includes means for a user to input information on date of birth and place of birth, means for transmitting the input data to the server, means for converting the received data into a standard format, means for generating a horoscope, means for storing the generated horoscope in a database, means for preprocessing worry data, means for analyzing the generated horoscope data and the preprocessed worry data and using a generative AI model to generate advice, and means for outputting advice generated based on the analysis results to the user in text format. This enables a user to instantly receive advice based on professional astrology without the need for face-to-face consultation.

[1417] The term "user" refers to a person who uses the system of the present invention and inputs information such as their date of birth, birthplace, worries and problems.

[1418] "Server" refers to a computer system that receives data sent from users, generates horoscopes and performs data analysis, and provides generated advice to users.

[1419] "Date of birth" refers to the information of the date of birth entered by the user.

[1420] "Place of birth" refers to information about one's place of birth entered by the user.

[1421] "Horoscope" refers to a celestial map generated based on a user's date of birth and place of birth.

[1422] "Generative AI model" refers to an artificial intelligence model that analyzes the generated horoscope data and preprocessed worry data and generates appropriate advice.

[1423] "Database" refers to a storage device for storing generated horoscope data and other related information.

[1424] "Preprocessing" refers to the process of converting data about worries and issues entered by the user into a format suitable for analysis.

[1425] "Analysis" refers to the data analysis performed by the generative AI model based on horoscope data and preprocessed worry data.

[1426] "Advice" refers to advice or suggestions that are generated based on the analysis results and provided to the user.

[1427] "Text format" refers to a format in which advice is expressed as text information.

[1428] The astrology system of the present invention allows users to input their own date of birth and place of birth information, generates a horoscope based on that information, and uses a generative AI model to analyze the generated horoscope to provide appropriate advice to the user regarding their worries and problems. This system is implemented by a combination of a user terminal, a server, and various software components.

[1429] The user terminal is a PC or mobile device equipped with a web browser. Using these terminals, users access the system's web form and enter information about their date of birth, birthplace, and worries or issues. Once the input is complete, the data is sent from the user terminal to the server.

[1430] The server receives the data sent by the user and performs various processes. First, the data reception module receives the information sent by the user and converts it into a standard format. Common web server software (such as Apache or Nginx) can be used for this purpose.

[1431] Next, the horoscope generation module generates a celestial map (horoscope) based on the received date of birth and place of birth information. This module performs calculations using, for example, the Python astronomical calculation library "PyEphem."

[1432] The generated horoscope data is saved in a database using the database module. The database is typically a relational database such as MySQL or PostgreSQL. The saved data is used for later analysis.

[1433] Next, a text preprocessing module preprocesses the user-provided worry data and converts it into a format suitable for analysis. For this preprocessing, it is effective to use natural language processing libraries such as "NLTK" and "spaCy."

[1434] The generative AI model module analyzes the pre-processed data and generated horoscope data using an advanced generative AI model such as the Transformer-based model GPT-3. The generative AI model generates appropriate advice based on the input data.

[1435] Finally, the advice output module provides the generated advice to the user in text format. The generated advice text is sent to the user terminal as an HTTP response and displayed on the user's web browser.

[1436] As a specific example, suppose a user accesses the site on October 1, 2023, enters the following concerns into the form: "Born on January 1, 1990," "Born in Tokyo," "I don't know what direction to take my career," and submits it. The server receives this data and converts it into a standard format. Next, a horoscope is generated, and a celestial map is created. This data is then stored in a database, and the concern data is preprocessed. The generative AI model analyzes it and generates advice: "Jupiter offers opportunities for expansion and growth during this period, but there are also constraints due to the influence of Saturn, so careful decision-making is required." Finally, this advice text is sent to the user's device.

[1437] An example of a prompt sentence is "Date of birth: January 1, 1990, Place of birth: Tokyo, Concern: I don't know what career direction to take." Based on this information, the generative AI model provides appropriate advice.

[1438] In this way, the system of the present invention provides users with the ability to easily input their own data and receive prompt astrological advice based on that data. By implementing this system, it becomes possible to obtain professional advice from anywhere without the need for a face-to-face consultation.

[1439] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1440] Step 1:

[1441] Users open a web browser on their PC or smartphone and access the astrology system's web form, where they enter information about their date of birth, place of birth, and concerns or challenges. Input fields are designed to ensure accurate data entry using calendar selection and drop-down menus.

[1442] Input: Date of birth, place of birth, worries

[1443] Output: User data entered (date of birth, place of birth, concerns)

[1444] Step 2:

[1445] When the user has completed the input, they click the "Submit" button to send the data from the user's terminal to the server. This action generates an HTTP request, and the data is received by the server.

[1446] Input: User data (date of birth, place of birth, concerns)

[1447] Output: HTTP request to the server

[1448] Step 3:

[1449] The server's data receiving module receives HTTP requests sent by users, extracts the data sent, and converts it into a standard format, such as JSON or XML.

[1450] Input: HTTP request

[1451] Output: Data converted into standard format (date of birth, place of birth, worries)

[1452] Step 4:

[1453] The server's horoscope generation module generates a celestial map (horoscope) based on the received date of birth and place of birth information. This process is performed using the Python astronomical calculation library "PyEphem" and other tools.

[1454] Input: Date of birth, place of birth

[1455] Output: Horoscope data (astronomical map)

[1456] Step 5:

[1457] The server's database module stores the generated horoscope data in a database using a relational database such as MySQL or PostgreSQL. At this stage, the stored data is used for later analysis.

[1458] Input: Horoscope data

[1459] Output: Horoscope data stored in a database

[1460] Step 6:

[1461] The server's text preprocessing module preprocesses the user-provided worry data and converts it into a format suitable for analysis. For preprocessing, natural language processing libraries such as "NLTK" and "spaCy" are used to tokenize, normalize, and convert the text data into features.

[1462] Input: Worry data

[1463] Output: Preprocessed trouble data

[1464] Step 7:

[1465] The server's generative AI model module analyzes the generated horoscope data and pre-processed worry data to generate advice. The generative AI model uses advanced models such as GPT-3.

[1466] Input: Horoscope data, preprocessed worry data

[1467] Output: Parsed advice data

[1468] Step 8:

[1469] The advice output module of the server generates the advice data in text format and sends it to the user terminal. The generated advice is returned to the user as an HTTP response.

[1470] Input: Parsed advice data

[1471] Output: HTTP response (advice text)

[1472] Step 9:

[1473] The web browser on the user's device receives the advice text sent from the server and displays it on the user's screen. For example, the received data is dynamically rendered on the screen using a front-end framework such as JavaScript or Vue.js.

[1474] Input: HTTP response (advice text)

[1475] Output: Advice displayed to the user.

[1476] In this way, users can receive instant, professional astrological advice without the need for a face-to-face consultation.

[1477] (Application example 1)

[1478] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1479] In conventional astrology systems, it was difficult for users to receive personalized content, and advice and information based on specific interests were not adequately delivered. This meant that appropriate and specific advice could not be provided to address users' concerns and interests, resulting in a decrease in satisfaction.

[1480] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1481] In this invention, the server includes means for inputting information on date of birth and place of birth, means for generating a horoscope, means for using a generative AI model that performs analysis based on the generated horoscope, means for generating advice for worries and issues in text format based on the analysis results, means for generating personalized content based on the generated horoscope and user interest data, and means for delivering and displaying the generated content to a user terminal, thereby enabling users to receive specific and personalized advice and content based on their individual worries and interests.

[1482] "Information on date of birth and place of birth" refers to data indicating the user's date of birth and place of birth, and is basic information for generating an individual horoscope based on astrology.

[1483] A "horoscope" is a chart showing the positions of celestial bodies, generated based on a user's date of birth and place of birth, and serves as the basis for astrological analysis.

[1484] A "generative AI model" is an artificial intelligence model that analyzes the generated horoscope and the user's worries and interests data to generate appropriate advice and personalized content.

[1485] "Personalized content" includes individualized information and advice generated by a generative AI model tailored to a user's interests and concerns.

[1486] "User terminal" refers to a device used by a user to access the astrology system, including, for example, a smartphone or PC.

[1487] The "database" is an information management system for storing the generated horoscopes and user interest information, and the stored data is used for subsequent analysis and content generation.

[1488] "Preprocessing" is the process of converting user concerns and interest data into a format that is easier to analyze, creating data optimized for input into a generative AI model.

[1489] "Content distribution" refers to the process of transmitting the generated personalized content to a user terminal and displaying it.

[1490] "Advice generation" is the process of analyzing the horoscope and the user's worry data using a generative AI model, and creating specific advice for the user based on the results.

[1491] This invention is a system that generates an astrological horoscope when a user inputs information about their date of birth and place of birth, and then provides advice and personalized content using a generative AI model based on the generated horoscope and the user's concerns and interests.

[1492] System Configuration

[1493] User terminal

[1494] This is the device that users use to input data. This can be a smartphone, PC, etc. The terminal application provides input forms that allow users to enter information such as date of birth, place of birth, interests, and concerns. It also includes an interface for displaying generated advice and content.

[1495] server

[1496] The server includes the following main modules:

[1497] Data receiving module: Receives data such as date of birth, place of birth, interests, and worries sent by the user and converts it into a standard format. Specifically, it processes HTTP requests and extracts the necessary data.

[1498] Horoscope generation module: Generates a horoscope using an astronomical calculation library (e.g., PyEphem) based on the received date of birth and place of birth information.

[1499] Database module: The generated horoscope data and user interest data are stored in a database such as PostgreSQL and used for analysis.

[1500] Text preprocessing module: Preprocesses user concerns and interests using a natural language processing library (e.g., SpaCy) and converts them into a format suitable for input to the generative AI model.

[1501] Generative AI model module: Based on the generated horoscope and pre-processed data, a generative AI model (e.g., GPT-3) is used to generate personalized advice and content.

[1502] Content delivery module: The generated content is delivered to the user's device using services such as Firebase and displayed so that the user can view it.

[1503] Specific examples

[1504] Operating Procedure

[1505] A user starts the smartphone app, enters their date of birth (January 1, 1990) and place of birth (Tokyo) on the new registration screen, selects "health" and "career" as their interests, and enters "I don't know what direction my career should take" as their concern. Then, they click the submit button.

[1506] Server Processing

[1507] 1. The data receiving module receives the user data and converts it into a standard format.

[1508] 2. The horoscope generation module generates a horoscope based on "January 1, 1990" and "Tokyo."

[1509] 3. The database module stores the generated horoscope data.

[1510] 4. The text preprocessing module preprocesses the interest data and worry data of “health,” “career,” and “not sure about career direction.”

[1511] 5. The generative AI model module analyzes the horoscope and pre-processed data to generate personalized advice and content, such as "Jupiter's influence will bring good career opportunities, but Saturn's influence will also be significant, so it's important to maintain a balance" or "This month's health is relatively good, making it a good time to exercise."

[1512] 6. The content distribution module distributes the generated content to the user terminal and displays it.

[1513] Prompt Sentence Examples

[1514] The user's date of birth is January 1, 1990, and their birthplace is Tokyo. Their concern is "I don't know what direction to take in my career." Based on their horoscope, generate advice for this user based on their interests: health, career.

[1515] The system allows users to receive immediate, specific, and personalized astrological advice and content.

[1516] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1517] Step 1:

[1518] A user starts the smartphone app and enters their date of birth, place of birth, interests, and concerns on the new registration screen. The entered data may include, for example, "January 1, 1990" (date of birth), "Tokyo" (place of birth), "health, career" (interests), and "not sure about career direction" (concern).

[1519] Step 2:

[1520] The user terminal sends the input data to the server using an HTTP request, which is then received by the server.

[1521] Step 3:

[1522] The server's data receiving module converts the received data on date of birth, place of birth, interests, and concerns into a standard format. Specifically, it converts text data into JSON format, thereby ensuring data consistency.

[1523] Step 4:

[1524] The server's horoscope generation module generates a horoscope using an astronomical calculation library (e.g., PyEphem) based on the birth date (January 1, 1990) and birth place (Tokyo). The input data is the birth date and birth place, and the output data is the generated horoscope data.

[1525] Step 5:

[1526] The generated horoscope data is stored in a database by the server's database module. Specifically, it is stored using a relational database management system such as PostgreSQL. The input data is the horoscope data, and the output is the status of successful database storage.

[1527] Step 6:

[1528] The server's text preprocessing module preprocesses the user's concern, "I don't know what career direction to take," and the interest data, "health, career." This preprocessing uses a natural language processing library (e.g., SpaCy) to perform tokenization, syntactic analysis, and other processes to convert the data into a format suitable for input to a generative AI model. The input is the user's text data, and the output is the preprocessed data.

[1529] Step 7:

[1530] The server's generative AI model module analyzes the generated horoscope data and preprocessed worries and interests data to generate personalized advice and content. This analysis uses a generative AI model (e.g., GPT-3) to generate specific advice for the user. For example, "Jupiter's influence will bring good career opportunities, but Saturn's influence will also be strong, so it's important to maintain a balance," or "This month's health is relatively good, making it a good time for exercise." The input is the horoscope data and preprocessed data, and the output is the generated advice and content.

[1531] Step 8:

[1532] The server's content delivery module delivers the generated advice and content to the user device via a service such as Firebase and displays them in an appropriate UI. The input is advice and content data, and the output is the status of successful display on the user device and the advice and content received by the user.

[1533] Prompt Sentence Examples

[1534] The user's date of birth is January 1, 1990, and their birthplace is Tokyo. Their concern is "I don't know what direction to take in my career." Based on their horoscope, generate advice for this user based on their interests: health, career.

[1535] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1536] The astrology system of the present invention generates a horoscope based on the user's input of date of birth and place of birth, and then uses a generative AI model to analyze the generated horoscope to provide appropriate advice for the user's worries and problems. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, the accuracy of the advice and the user experience are improved. This system is implemented by a combination of a user terminal, a server, and necessary software components.

[1537] System Configuration

[1538] User terminal

[1539] Users access the system's web form using a PC or mobile device with a web browser and enter the required information, such as their date of birth, place of birth, and concerns or issues.

[1540] server

[1541] The server receives data sent by users and executes the processes of horoscope generation, data analysis, and advice generation. It also has an emotion engine that analyzes users' emotions. These processes are handled by the following components:

[1542] Data receiving module: This module receives input data from the user. It converts the date of birth, place of birth, and worries data into a standard format.

[1543] Horoscope generation module: This module generates a celestial arrangement chart (horoscope) based on the received date of birth and place of birth information.

[1544] Database module: This module stores the generated horoscope data. If necessary, the stored data is used for analysis.

[1545] Text preprocessing module: This module preprocesses user's worries data for analysis. It converts the text data into a standard format.

[1546] Generative AI model module: This is an AI module that analyzes the generated horoscope data and pre-processed worry data and generates advice.

[1547] Emotion engine module: This module analyzes the user's input worry data and reactions and adjusts the advice generated.

[1548] Advice output module: This module generates advice in text format based on the output of the generative AI model and sends it to the user's device.

[1549] Program processing

[1550] User terminal

[1551] 1. The user enters their date of birth, place of birth, and concerns in a web form.

[1552] 2. Once the input is complete, the data is sent to the server.

[1553] server

[1554] 1. The data receiving module receives the date of birth, place of birth, and worries data sent by the user and converts them into a standard format.

[1555] 2. The horoscope generation module generates a celestial arrangement diagram (horoscope) based on the given information.

[1556] 3. Save the generated horoscope data in the database.

[1557] 4. The text preprocessing module preprocesses the user's worry data and converts it into a format suitable for analysis.

[1558] 5. The generative AI model module analyzes the horoscope data and pre-processed worry data and generates advice.

[1559] 6. The emotion engine module recognizes the user's emotion in the text content of the generated advice and adjusts the advice content.

[1560] 7. The advice output module displays the generated advice text on the user's screen in real time.

[1561] Specific examples

[1562] User operations

[1563] A user accesses the site on October 1, 2023, enters their date of birth (January 1, 1990), place of birth (Tokyo), and concern (I don't know what direction to take in my career) into the form, and clicks the submit button.

[1564] Server Operation

[1565] 1. The data receiving module receives the data and converts it into a standard format.

[1566] 2. The horoscope generation module generates a horoscope for "January 1, 1990" and "Tokyo."

[1567] 3. The database module stores the generated horoscope data.

[1568] 4. The text preprocessing module preprocesses the worry data “I don’t know what direction to take in my career.”

[1569] 5. The generative AI model module analyzes the horoscope and pre-processed data and generates advice: "Jupiter offers opportunities for expansion and growth during this period, but there are also constraints due to the influence of Saturn, so careful decision-making is required."

[1570] 6. The emotion engine module adjusts the tone and content of the advice displayed to address the user's concerns.

[1571] 7. The advice output module displays the advice text on the user's screen in real time.

[1572] In this way, the system of the present invention allows users to instantly receive advice based on professional astrology without having to undergo a face-to-face consultation. Furthermore, by utilizing an emotion engine, it is possible to provide more appropriate advice that is tailored to the user's psychological state. By analyzing the data stored in the database, the system also contributes to future marketing strategies and understanding user needs.

[1573] The processing flow will be explained below.

[1574] Step 1: User Input

[1575] User:

[1576] 1. Access the web page.

[1577] 2. Enter your date of birth, place of birth, and problem (issue) in the form.

[1578] 3. Once you have completed the entry, click the "Submit" button.

[1579] Step 2: Receiving and Preprocessing Data

[1580] server:

[1581] 1. Receive data sent by the user.

[1582] 2. Convert the received date of birth, place of birth, and distress data into a standard format.

[1583] 3. Preprocess the text-format worry data and convert it into a format suitable for analysis.

[1584] Step 3: Generate your horoscope

[1585] server:

[1586] 1. Enter the date of birth and place of birth information converted into standard format into the horoscope generation module.

[1587] 2. The horoscope generation module generates a celestial arrangement diagram (horoscope) based on the given information.

[1588] 3. Save the generated horoscope data in the database.

[1589] Step 4: Analyzing the horoscope data

[1590] server:

[1591] 1. Retrieve the horoscope data stored in the database.

[1592] 2. Prepare the preprocessed worry data for input into the generative AI model.

[1593] Step 5: Generative AI model generates advice

[1594] server:

[1595] 1. Input the horoscope data and preprocessed worry data into the generative AI model.

[1596] 2. The generative AI model analyzes the horoscope and worry data to generate appropriate advice for worries and issues.

[1597] Step 6: Emotional Engine Alignment

[1598] server:

[1599] 1. The generated advice text is input to the emotion engine module.

[1600] 2. The emotion engine analyzes the user's input concerns and reactions and adjusts the generated advice according to the user's emotions.

[1601] Step 7: Providing advice

[1602] server:

[1603] 1. Prepare to send advice adjusted by the emotion engine to the user device.

[1604] 2. Open a web page and display the advice to the user.

[1605] User:

[1606] 1. Check the advice displayed on the web page.

[1607] 2. Submit additional questions or requests for reanalysis, if necessary.

[1608] Specific examples

[1609] User operations

[1610] A user accesses the site on October 1, 2023, enters their date of birth (January 1, 1990), place of birth (Tokyo), and concern (I don't know what direction to take in my career) into the form, and clicks the submit button.

[1611] Server Operation

[1612] 1. The data receiving module receives the data and converts it into a standard format.

[1613] 2. The horoscope generation module generates a horoscope for "January 1, 1990" and "Tokyo."

[1614] 3. The database module stores the generated horoscope data.

[1615] 4. The text preprocessing module preprocesses the worry data “I don’t know what direction to take in my career.”

[1616] 5. The generative AI model module analyzes the horoscope and pre-processed data and generates advice: "Jupiter offers opportunities for expansion and growth during this period, but there are also constraints due to the influence of Saturn, so careful decision-making is required."

[1617] 6. The emotion engine module recognizes the user's anxieties and hopes about their career and adjusts the tone and specific content of the advice: "The anxieties you are feeling are natural. Taking on new challenges during this time will bring you great opportunities for growth. However, it is important to proceed with caution."

[1618] 7. The advice output module displays the adjusted advice text on the user's screen in real time.

[1619] In this way, the system of the present invention allows users to instantly receive advice based on professional astrology without having to undergo a face-to-face consultation. Furthermore, by utilizing an emotion engine, it is possible to provide more appropriate advice that is tailored to the user's psychological state. By analyzing data stored in the database, the system also contributes to future marketing strategies and understanding of user needs.

[1620] Example 2

[1621] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1622] Conventional astrology systems require users to receive a face-to-face consultation, making it difficult to obtain immediate expert advice. Furthermore, they are unable to provide advice that takes into account the user's emotions and psychological state, limiting the improvement of the user experience.

[1623] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for inputting information on the date of birth and place of birth, means for generating a horoscope, means for using a generative AI model that performs analysis based on the generated horoscope, means for preprocessing data related to the user's worries and issues, means for inputting the preprocessed data into the generative AI model, means for adjusting the content and tone of the generated advice to match the user's emotions, means for generating advice on the worries and issues in text format based on the analysis results, and means for outputting the generated advice to the user. This allows the user to instantly receive professional astrological advice without having to undergo face-to-face consultation, and further allows the user to receive more appropriate advice that takes into account the user's emotions and psychological state.

[1624] "Means for inputting information on date of birth and place of birth" refers to an interface used by a user to input his or her date of birth and place of birth into the system.

[1625] "Means for generating a horoscope" refers to a function that creates a celestial map based on the input date of birth and place of birth information.

[1626] "Means using a generative AI model to perform analysis based on the generated horoscope" means a mechanism that utilizes a generative AI model to analyze the generated horoscope data.

[1627] The "means for preprocessing data relating to the user's worries and problems" refers to a processing device that converts data relating to worries and problems input by the user into a format that is easy to analyze.

[1628] "Means for inputting preprocessed data into the generative AI model" refers to the function of supplying worry data that has undergone preprocessing to the generative AI model.

[1629] "Means for adjusting the content and tone of generated advice to suit the user's emotions" refers to a function for optimizing generated advice text according to the user's emotional state.

[1630] "Means for generating advice in text format for concerns and issues based on the analysis results" refers to the function of creating advice in text format based on the analysis results of the generative AI model.

[1631] "Means for outputting generated advice to a user" means a device that displays or transmits the generated advice in a format that can be viewed by a user.

[1632] "Means for saving the generated horoscope data in a database" refers to a function for storing the generated horoscope data in a database.

[1633] "Means for providing stored data for analysis" refers to a function for utilizing data stored in a database as basic information for analysis.

[1634] "Means for analyzing user reactions and adjusting generated advice" refers to a function for analyzing user feedback and reactions and readjusting the advice content based on that.

[1635] The term "means for displaying the generated advice text on the user terminal in real time" refers to a function for promptly displaying the generated advice on the user terminal.

[1636] This invention is a system that generates a horoscope based on the user's input of date of birth and place of birth, and then uses a generative AI model to analyze the generated horoscope to provide appropriate advice for the user's worries and problems. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, the system aims to improve the accuracy of advice and the user experience.

[1637] System Configuration

[1638] User terminal

[1639] Users access the system's web form using a PC or mobile device with a web browser and enter the required information, such as their date of birth, place of birth, and concerns or issues.

[1640] server

[1641] The server receives data sent by users and executes the processes of horoscope generation, data analysis, and advice generation. It also has an emotion engine that analyzes users' emotions. These processes are handled by the following components:

[1642] Data receiving module: This module receives input data from the user and converts the date of birth, place of birth, and worries data into a standard format.

[1643] Horoscope generation module: This module generates a celestial arrangement chart (horoscope) based on the received date of birth and place of birth information.

[1644] Database module: This module stores the generated horoscope data. If necessary, the stored data is used for analysis.

[1645] Text preprocessing module: This module preprocesses user concern data for analysis. It uses natural language processing techniques to convert text data into a standard format.

[1646] Generative AI model module: This is an AI module that analyzes the generated horoscope data and pre-processed worry data and generates advice.

[1647] Emotion engine module: This module analyzes the user's input worry data and reactions and adjusts the advice generated.

[1648] Advice output module: This module generates advice in text format based on the output of the generative AI model and sends it to the user's device.

[1649] Specific examples

[1650] User operations

[1651] A user accesses the site on October 1, 2023, enters their date of birth (January 1, 1990), place of birth (Tokyo), and concern (I don't know what direction to take in my career) into the form, and clicks the submit button.

[1652] Server Operation

[1653] 1. The data receiving module receives the data and converts it into a standard format.

[1654] 2. The horoscope generation module generates a horoscope for "January 1, 1990" and "Tokyo."

[1655] 3. The database module stores the generated horoscope data.

[1656] 4. The text preprocessing module preprocesses the worry data "I don't know what direction to take in my career."

[1657] 5. The generative AI model module analyzes the horoscope and pre-processed data and generates advice such as: "Jupiter offers opportunities for expansion and growth during this period, but Saturn's influence also creates constraints, so careful decision-making is required."

[1658] 6. The emotion engine module adjusts the tone and content of the advice displayed in response to the user's concerns.

[1659] 7. The advice output module displays the generated advice text on the user's screen in real time.

[1660] Prompt Sentence Examples

[1661] Enter your details in the format: "Date of birth: January 1, 1990, Place of birth: Tokyo, Problem: I don't know what direction to take my career. Please give me some advice."

[1662] This system allows users to instantly receive professional astrological advice without having to undergo a face-to-face consultation. Furthermore, by utilizing an emotion engine, it is possible to provide more appropriate advice based on the user's psychological state. Furthermore, by analyzing the data stored in the database, the system can contribute to future marketing strategies and understanding user needs.

[1663] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1664] Step 1:

[1665] Input: The user enters date of birth, place of birth, and problem information into a web form.

[1666] How it works: A user visits a web page, fills in the form with "Date of birth: January 1, 1990," "Place of birth: Tokyo," and "Problem: I don't know what career direction to take," and clicks the submit button.

[1667] Output: The entered data is sent to the server.

[1668] Step 2:

[1669] Input: The server receives the date of birth, place of birth, and trouble data sent by the user.

[1670] Operation: The server's data receiving module receives this data and converts it into a standard format (e.g., ISO 8601 date, UTF-8 encoded text).

[1671] Output: Data converted into a standard format.

[1672] Step 3:

[1673] Input: Date of birth and place of birth data converted into a standard format.

[1674] Operation: The server's horoscope generation module generates a celestial arrangement (horoscope) based on this data.

[1675] Output: Generated horoscope data.

[1676] Step 4:

[1677] Input: Generated horoscope data.

[1678] Operation: The database module of the server stores the generated horoscope data in the database.

[1679] Output: Horoscope data stored in a database.

[1680] Step 5:

[1681] Input: Worry data converted into a standard format.

[1682] How it works: The server's text preprocessing module preprocesses the complaint data for analysis, for example using natural language processing (NLP) techniques such as tokenization, normalization, and stop word removal.

[1683] Output: Preprocessed trouble data.

[1684] Step 6:

[1685] Input: Preprocessed worry data and generated horoscope data.

[1686] How it works: The server's generation AI model module analyzes this data and generates advice.

[1687] Output: Generated advice (e.g., "Jupiter offers opportunities for expansion and growth during this period, but Saturn's influence also limits it, so careful consideration is needed").

[1688] Step 7:

[1689] Input: The generated advice.

[1690] How it works: The server's emotion engine module analyzes the user's emotions from their worries and past data, and adjusts the tone and content of the generated advice.

[1691] Output: Advice tailored to emotions.

[1692] Step 8:

[1693] Input: Emotionally tailored advice.

[1694] Operation: The advice output module of the server displays this advice text on the user terminal in real time.

[1695] Output: Advice displayed on the user's terminal.

[1696] (Application example 2)

[1697] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1698] Conventional astrology systems require users to receive face-to-face consultations, resulting in low immediacy and convenience. Furthermore, the advice provided does not adapt to the user's psychological state, leaving room for improvement in the user experience. Furthermore, there are issues with the difficulty of providing instant responses to daily horoscopes and individual concerns.

[1699] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1700] In this invention, the server includes means for inputting information on the date of birth and place of birth, means for generating a horoscope, means for using a generative AI model that performs analysis based on the generated horoscope, means for generating advice for worries and issues in text format based on the analysis results, means for outputting the generated advice to the user, means for using an emotion analysis engine that recognizes the user's emotions and adjusts the content of the advice, means for notifying the user of the advice to their mobile device, and means for automatically generating and delivering a daily or weekly horoscope to the user. This makes it possible to provide astrological advice in real time and to provide a variety of advice according to the user's psychological state.

[1701] The "means for inputting date of birth and place of birth information" is a device or software that provides an interface for a user to input their date of birth and place of birth.

[1702] "Means for generating a horoscope" refers to software or algorithms for generating a celestial map (horoscope) based on input information on date of birth and place of birth.

[1703] "Means using a generative AI model to perform analysis based on a generated horoscope" refers to a process and software that uses an AI model to analyze a generated horoscope.

[1704] "Means for generating advice in text format for the user's worries and issues based on the analysis results" refers to algorithms and software for generating advice in text format for the user's worries and issues based on the analysis results of the AI ​​model.

[1705] The "means for outputting the generated advice to the user" refers to an interface or software for displaying or transmitting the generated text advice to the user's device.

[1706] The "means of using an emotion analysis engine that recognizes the user's emotions and adjusts the content of advice" is software that analyzes emotions from data entered by the user and adjusts the content of advice based on the results.

[1707] The "means for notifying the user's mobile device of advice" refers to communication means and software for notifying the user's mobile device of the generated advice.

[1708] "Means for automatically generating and distributing daily or weekly horoscopes to users" refers to systems and software for automatically generating horoscopes on a daily or weekly basis and distributing them to users.

[1709] The "means for storing the generated horoscope data in a database" refers to a database for storing the generated horoscope data for a long period of time and a system for managing the database.

[1710] "Means for providing stored data for analysis" refers to means and software for retrieving and using data stored in a database for analysis.

[1711] The "means for displaying advice text in real time on a user's mobile device" refers to a communication means and an interface for displaying the generated advice in real time on a user's mobile device.

[1712] "Means for inputting preprocessed data into a generative AI model" refers to a means for inputting preprocessed data related to worries or issues into a generative AI model.

[1713] The "means for generating advice including emotional data analyzed by an emotional analysis engine" refers to a means for generating more appropriate advice based on the emotional data analyzed by an emotional analysis engine.

[1714] The "means for providing individual advice to a user using a prompt sentence" is a means for creating a prompt sentence based on data input by a user or generated data, and for providing individual advice based on the prompt sentence.

[1715] This invention is a system that generates a horoscope based on a user's date of birth and place of birth information, and provides appropriate advice to the user regarding their worries and problems. The system is composed of a user terminal, a server, and necessary software components.

[1716] System Configuration

[1717] User terminal

[1718] The user accesses the provided application using an internet-connected smartphone. The application provides a form for entering information such as date of birth, place of birth, and concerns. Once the information is complete, it is sent to the server.

[1719] server

[1720] The server receives the user's input data and performs horoscope generation, data analysis, advice generation, and user sentiment analysis. These processes are implemented by the following software components:

[1721] The data receiving module is a module that receives data sent from a user and converts the date of birth, place of birth, and worry data into a standard format.

[1722] The horoscope generation module is a module that generates a horoscope based on information about the date of birth and place of birth.

[1723] The database module is a module that stores the generated horoscope and the user's input data.

[1724] The text preprocessing module is a module that preprocesses user worry data for analysis.

[1725] The generative AI model module is an AI module that analyzes the generated horoscope data and preprocessed worry data to generate advice in text format.

[1726] The emotion engine module is a module that analyzes emotions from the user's input data and adjusts the content of advice.

[1727] The advice output module is a module that displays advice on the user's device based on the output of the generative AI model.

[1728] Hardware and software used

[1729] Smartphone (user device): iOS or Android device.

[1730] Server: A web server using Flask.

[1731] Horoscope generation: Horoscope API.

[1732] Sentiment analysis engine: NLP library (e.g. Google Cloud Natural Language API).

[1733] Generative AI model: A self-made generative AI model (e.g., GPT-3).

[1734] Specific examples

[1735] A user uses the application on October 1, 2023, enters their date of birth (January 1, 1990), place of birth (Tokyo), and concern (work stress) into the form, and clicks the submit button. The data reception module converts the received data into a standard format, and the horoscope generation module generates a horoscope for January 1, 1990 and Tokyo. The generated data is stored in the database module, and the text preprocessing module preprocesses the concern data. The generative AI model then analyzes the horoscope and preprocessed data to generate advice. For example, the generated advice is "I recommend you take a rest this week," and is adjusted by the emotion engine module. Finally, the advice output module displays the advice text on the user's device in real time.

[1736] Prompt Sentence Examples

[1737] Date of Birth: January 1, 1990

[1738] Place of birth: Tokyo

[1739] Problem: I'm under a lot of stress at work

[1740] horoscope:

[1741] Sun: Capricorn

[1742] Moon: Sagittarius

[1743] Venus: Aquarius

[1744] ...

[1745] Emotion: Stress

[1746] Based on this, please provide advice to users.

[1747] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1748] Step 1:

[1749] The user enters their date of birth, place of birth, and worries into the smartphone application and clicks the send button. The entered data is sent to the server. The input data includes the date of birth, place of birth, and the text of the worries, and is sent to the server as is.

[1750] Step 2:

[1751] The server's data receiving module receives the date of birth, place of birth, and worry data sent by the user. The received data is converted into a standard format. The input data includes the date of birth, place of birth, and text of the worry, and the standard format data is generated as output.

[1752] Step 3:

[1753] The server's horoscope generation module generates a horoscope based on the date of birth and place of birth information converted into a standard format. A celestial map is generated and output as a horoscope.

[1754] Step 4:

[1755] The database module of the server stores the generated horoscope data in the database. There is generated horoscope data as input and the data is stored in the database.

[1756] Step 5:

[1757] The server's text preprocessing module preprocesses the user's worry data and converts the worry text data into a format that is easy to analyze. The worry text data is the input, and the preprocessed text data is obtained as the output.

[1758] Step 6:

[1759] The server's generation AI model module analyzes the generated horoscope data and preprocessed worry data to generate advice. Horoscope data and preprocessed worry data are input, and advice in text format is generated as output.

[1760] Step 7:

[1761] The server's emotion engine module analyzes the user's worries and reactions to determine their emotions and adjusts the advice content. The input is the user's worries and analyzed emotions, and the output is advice tailored to their emotions.

[1762] Step 8:

[1763] The advice output module of the server notifies the generated advice to the user's mobile device, with the adjusted advice text as input and the advice text being displayed on the user's device as output.

[1764] Step 9:

[1765] The server's daily or weekly horoscope generation module automatically generates and delivers horoscopes to users, taking the automation schedule as input and delivering the daily or weekly horoscope to the user's device as output.

[1766] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1767] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1768] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1769] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1770] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1771] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1772] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1773] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1774] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1775] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1776] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1777] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1778] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1779] 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.

[1780] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1781] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1782] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1783] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1784] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1785] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1786] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1787] The following is further disclosed regarding the above embodiment.

[1788] (Claim 1)

[1789] means for inputting date of birth and place of birth information;

[1790] a means for generating a horoscope;

[1791] A means of using a generative AI model that performs analysis based on the generated horoscope;

[1792] A means for generating advice in text format for the worries and issues based on the analysis results;

[1793] means for outputting the generated advice to a user;

[1794] A system including:

[1795] (Claim 2)

[1796] means for storing the generated horoscope data in a database;

[1797] means for subjecting the stored data to analysis;

[1798] The system of claim 1 further comprising:

[1799] (Claim 3)

[1800] means for pre-processing data relating to the user's concerns and problems;

[1801] a means for inputting the preprocessed data into a generative AI model;

[1802] The system of claim 1 further comprising:

[1803] (Claim 4)

[1804] means for displaying the generated advice to the user in real time;

[1805] a means for accepting follow-up questions or reanalysis requests from the user;

[1806] The system of claim 1 further comprising:

[1807] "Example 1"

[1808] (Claim 1)

[1809] means for a user to input date of birth and place of birth information;

[1810] means for transmitting the input data to a server;

[1811] means for converting received data into a standard format;

[1812] a means for generating a horoscope;

[1813] A means for storing the generated horoscope in a database;

[1814] A means for preprocessing the worry data;

[1815] A means for using a generative AI model that analyzes the generated horoscope data and the preprocessed worry data and generates advice;

[1816] means for outputting advice generated based on the analysis results to a user in text format;

[1817] A system including:

[1818] (Claim 2)

[1819] A means for subjecting the stored horoscope data to analysis;

[1820] The system of claim 1 further comprising:

[1821] (Claim 3)

[1822] A means for converting user concern data into a standard format;

[1823] a means for inputting the preprocessed data into a generative AI model;

[1824] The system of claim 1 further comprising:

[1825] "Application Example 1"

[1826] (Claim 1)

[1827] means for inputting date of birth and place of birth information;

[1828] a means for generating a horoscope;

[1829] A means of using a generative AI model that performs analysis based on the generated horoscope;

[1830] A means for generating advice in text format for the worries and issues based on the analysis results;

[1831] A means for generating personalized content based on the generated horoscope and user interest data;

[1832] means for distributing and displaying the generated content to a user terminal;

[1833] A system including:

[1834] (Claim 2)

[1835] means for storing the generated horoscope data in a database;

[1836] means for subjecting the stored data to analysis;

[1837] The system of claim 1 further comprising:

[1838] (Claim 3)

[1839] means for pre-processing data relating to the user's concerns and problems;

[1840] a means for inputting the preprocessed data into a generative AI model;

[1841] The system of claim 1 further comprising:

[1842] "Example 2: Combining Emotion Engines"

[1843] (Claim 1)

[1844] means for inputting date of birth and place of birth information;

[1845] a means for generating a horoscope;

[1846] A means of using a generative AI model that performs analysis based on the generated horoscope;

[1847] means for preprocessing data relating to user concerns and problems;

[1848] a means for inputting the preprocessed data into a generative AI model;

[1849] means for adjusting the content and tone of the generated advice to match the user's emotions;

[1850] A means for generating advice in text format for the worries and issues based on the analysis results;

[1851] means for outputting the generated advice to a user;

[1852] A system including:

[1853] (Claim 2)

[1854] A means for storing the generated horoscope data in a database;

[1855] means for subjecting the stored data to analysis;

[1856] The system of claim 1 further comprising:

[1857] (Claim 3)

[1858] means for analyzing user reactions and adjusting the generated advice;

[1859] a means for displaying the generated advice text on a user terminal in real time;

[1860] The system of claim 1 further comprising:

[1861] "Application example 2 when combining emotion engines"

[1862] (Claim 1)

[1863] means for inputting date of birth and place of birth information;

[1864] a means for generating a horoscope;

[1865] A means of using a generative AI model that performs analysis based on the generated horoscope;

[1866] A means for generating advice in text format for the worries and issues based on the analysis results;

[1867] means for outputting the generated advice to a user;

[1868] a means for using an emotion analysis engine to recognize the user's emotions and adjust the advice content;

[1869] means for notifying the user of the advice on the user's mobile device;

[1870] means for automatically generating and delivering daily or weekly horoscopes to users;

[1871] A system including:

[1872] (Claim 2)

[1873] means for storing the generated horoscope data in a database;

[1874] means for subjecting the stored data to analysis;

[1875] a means for the emotion analysis engine to analyze emotions from text input by the user and adjust the tone and content of advice accordingly;

[1876] means for displaying advice text in real time on the user's mobile device;

[1877] The system of claim 1 further comprising:

[1878] (Claim 3)

[1879] means for pre-processing data relating to the user's concerns and problems;

[1880] a means for inputting the preprocessed data into a generative AI model;

[1881] a means for generating advice including emotion data analyzed by the emotion analysis engine;

[1882] a means for providing personalized advice to the user using prompt sentences;

[1883] The system of claim 1 further comprising: [Explanation of symbols]

[1884] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. means for inputting date of birth and place of birth information; a means for generating a horoscope; A means of using a generative AI model that performs analysis based on the generated horoscope; A means for generating advice in text format for the worries and issues based on the analysis results; means for outputting the generated advice to a user; A system including:

2. means for storing the generated horoscope data in a database; means for subjecting the stored data to analysis; The system of claim 1 further comprising:

3. means for pre-processing data relating to the user's concerns and problems; a means for inputting the preprocessed data into a generative AI model; The system of claim 1 further comprising:

4. means for displaying the generated advice to the user in real time; a means for accepting follow-up questions or reanalysis requests from the user; The system of claim 1 further comprising:

Images