System

Abstract

A system is provided.SOLUTION: A system comprising: means for collecting data from a plurality of fortune-telling information sources; means for analyzing the collected data and summarizing the information; means for generating an image based on the summarized information; and means for providing the generated image to a user's terminal.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] Many people today enjoy fortune-telling, but with so many fortune-telling sources available, they can sometimes be unsure which to believe. Furthermore, there is no method available to satisfy users' desire for specific guidelines or steps to take based on their fortunes. The present invention aims to alleviate the anxiety of fortune-telling enthusiasts and help them start their day off right by harmonizing information collected from multiple fortune-telling sources to create unified fortune-telling information and then generating and providing images that bring good fortune based on that information. [Means for solving the problem]

[0005] The present invention provides a system including means for collecting data from multiple fortune-telling information sources, means for analyzing the collected data and summarizing the information, means for generating an image based on the summarized information, and means for providing the generated image to a user's terminal. Furthermore, by providing a means for generating and providing an image that brings good luck to the user based on the summarized information and a means for providing the generated image in a format that can be set as wallpaper on the user's terminal, it is possible to provide the user with harmonized and reliable fortune information and an image that brings good luck, helping them start their day off right. The collected data relates to fortune information, lucky colors, and lucky items, and the summarized information includes these elements.

[0006] "Fortune-telling information sources" are media that provide predictive information about horoscopes and fortunes, provided on websites and digital content on the Internet.

[0007] "Data collection methods" are technical methods such as software, scripts, APIs, etc. used to collect fortune-telling information from fortune-telling sources.

[0008] "Data analysis means" refers to algorithms or programs that analyze collected fortune-telling data and organize and summarize its contents in a unified form.

[0009] "Information summarization" is the process of extracting important elements from data collected from multiple fortune-telling sources and summarizing them concisely.

[0010] An "image generator" is software or an artificial intelligence model that creates new images in a computer based on an information summary.

[0011] "Terminal" refers to the device used by the user, such as a smartphone, tablet, or PC.

[0012] A "generated image" is a digital image created by an image generation means based on the information summary.

[0013] A "wallpaper" is a digital image that is set as the screen background of a device.

[0014] "User" refers to the ultimate consumer who uses this system. [Brief explanation of the drawings]

[0015] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13]FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0016] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

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

[0018] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0019] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0020] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0021] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0022] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0023] [First embodiment]

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

[0025] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0026] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0027] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0028] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0029] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0030] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

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

[0032] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0033] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0034] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0035] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0036] The present invention relates to a system that provides a new fortune-telling experience using generative AI. This system analyzes and summarizes fortune information collected from multiple fortune-telling sources, and generates and provides images that bring good luck based on the results. Specific embodiments of the present invention are described below.

[0037] Server Operation

[0038] 1. Data Collection

[0039] The server accesses multiple reliable fortune-telling sources based on a schedule every morning to collect fortune-telling information, using web crawling and APIs to obtain information such as today's fortune, lucky colors, lucky items, etc. for each zodiac sign.

[0040] 2. Data Analysis and Summary

[0041] The server analyzes the collected fortune information, integrates and summarizes the data from each source, and unifies overlapping information such as fortune items (e.g., career fortune, love fortune, health fortune), lucky colors, lucky items, etc. to generate harmonized fortune information.

[0042] 3. Sending fortune information

[0043] The server sends the summarized fortune information to the user's device, which serves as the basis for the user to generate good luck images on their device.

[0044] Device behavior

[0045] 4. Data Analysis

[0046] The device receives and analyzes the fortune information sent from the server, and verifies that the received data contains specific suggestions for fortune (lucky colors, lucky items).

[0047] 5. Image Generation

[0048] Based on the analyzed fortune information, the device activates a generative AI model to generate images that bring good fortune, reflecting specific lucky colors and lucky items, with designs that enhance the interactive experience with the user.

[0049] 6. Image provision and wallpaper setting

[0050] The device provides the generated image of good fortune to the user and displays it in a format that can be set as wallpaper on a PC or smartphone. By setting this image as wallpaper, users can start their day happily while visually enjoying their daily fortune.

[0051] User operations

[0052] 7. Check the image and set it as wallpaper

[0053] The user can check the generated image provided by the device and set it as wallpaper if necessary, allowing the user to visually incorporate lucky items based on their daily fortune.

[0054] Specific examples

[0055] For example, if User A is an Aries, the server collects data from "Fortune-telling Information Source A" that says, "Aries' fortunes today are good for work, and their lucky color is blue," and from "Fortune-telling Information Source B" that says, "Aries' fortunes today are good for love, and their lucky item is a frog." These data are analyzed and summarized to generate harmonized fortune information such as, "Aries' fortunes today: good for work and love, their lucky color is blue, and their lucky item is a frog."

[0056] Based on this fortune information sent to the device, the device generates a lucky image with a blue base and a frog design. User A checks this image and selects "Yes," and the smartphone wallpaper is changed to the generated lucky image.

[0057] In this way, the system of the present invention can provide harmonized fortune information from multiple divination sources, providing users with a means to incorporate a visual element of good fortune.

[0058] The processing flow will be explained below.

[0059] Step 1:

[0060] Every morning, the server accesses multiple reliable fortune-telling sources based on a schedule, using web crawling and APIs to send requests to obtain information such as today's horoscope, lucky colors, and lucky items for each zodiac sign.

[0061] Step 2:

[0062] The server receives data collected from each fortune-telling information source. This data contains multiple elements, such as "Today's horoscope for Aries: Good luck in work, lucky color is blue" from "Fortune-telling information source A" and "Today's horoscope for Aries: Good luck in love, lucky item is frog" from "Fortune-telling information source B."

[0063] Step 3:

[0064] The server analyzes the received data and integrates each element of fortune (e.g., career luck, love luck, health luck), lucky color, lucky item, etc. Specifically, it compares and evaluates data from multiple sources and unifies overlapping or different content.

[0065] Step 4:

[0066] The server generates a summary result as unified fortune information: "Today's fortune for Aries: Good luck in work and love. Lucky color is blue. Lucky item is frog."

[0067] Step 5:

[0068] The server then sends the generated summary to the user's device using a communication protocol and data format (e.g., JSON or XML) for remotely connecting to the user's device and transmitting data.

[0069] Step 6:

[0070] The device receives the fortune information sent from the server, analyzes this information within the device, and identifies each element of fortune, lucky color, lucky item, etc.

[0071] Step 7:

[0072] The device activates the generative AI model based on the received information and generates a new image. Specifically, parameters such as "lucky color: blue" and "lucky item: frog" are input into the AI ​​model, and the generated image is obtained.

[0073] Step 8:

[0074] The device displays the generated image to the user and pops up a dialog box asking, "Do you want to set this image as wallpaper?" This allows the user to easily check and set the image.

[0075] Step 9:

[0076] The user checks the generated image and, if necessary, selects whether to set it as wallpaper.

[0077] Step 10:

[0078] If the user selects "Yes," the device calls the wallpaper setting API and sets the generated image as the device's wallpaper.

[0079] These specific steps will enable the server, terminal, and user to work together to provide harmonious fortune-telling information and generate and provide images that bring good fortune.

[0080] Example 1

[0081] 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."

[0082] Conventional fortune-telling systems rely on fortune-telling information from a single source, often resulting in a lack of reliability. Furthermore, there are limited ways for users to visually enjoy fortune-telling results and use them on a daily basis, creating a need for a more engaging fortune-telling experience. Furthermore, the process of individually collecting and analyzing fortune-telling information and providing it in a format tailored to each user is time-consuming, making it challenging to provide an efficient, high-quality service.

[0083] 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.

[0084] In this invention, the server includes means for collecting data from multiple reliable fortune-telling information sources, means for analyzing the collected data, integrating and summarizing the data from each source, and means for transmitting the summarized fortune information to the user's terminal, thereby providing fortune information harmonized from multiple fortune-telling information sources, providing the user with a means for incorporating a visual element of fortune, and realizing a more reliable fortune-telling experience.

[0085] A "reliable fortune-telling information source" is a source that provides fortune-telling data that has been highly accurate and reliable for a long period of time and is supported by many users.

[0086] "Means of collecting data" refers to the function of automatically obtaining the necessary data from fortune-telling information sources on the Internet using web crawling, API access, etc.

[0087] "Data analysis and integration methods" refers to the process of mechanically processing collected data and arranging the information into a single format based on specific rules, including eliminating duplicate information and prioritizing the information.

[0088] "Fortune information" refers to information about individual fortunes provided based on zodiac signs, birthdays, etc. This information includes career luck, love luck, health luck, etc.

[0089] "User's terminal" refers to an information processing device that a user uses on a daily basis, such as a smartphone, PC, or tablet.

[0090] A "generative AI model" is an algorithm that uses artificial intelligence to automatically generate the image a user desires from a given prompt. Typical examples include Stable Diffusion and DALL-E.

[0091] A "prompt sentence" refers to a text-based input sentence that provides specific instructions to a generative AI model and is used to specify the content and characteristics of the image to be generated.

[0092] "Means for generating images" refers to the process of automatically creating images with specific characteristics using a generative AI model based on the user's fortune information.

[0093] "Means for providing an image" refers to a function for displaying or saving the generated image on the user's terminal.

[0094] "A format that can be set as wallpaper" refers to a state in which image data has been converted into a resolution and file format that can be used on the user's device.

[0095] "Lucky images" refer to images that are created based on the user's fortune information and are expected to visually improve a sense of happiness and fortune.

[0096] This invention relates to a system that uses a generative AI model to provide a new fortune-telling experience. This system collects fortune information from multiple reliable fortune-telling sources, analyzes and summarizes it, and then provides the fortune information to the user's device. Based on this data, the user device activates a generative AI model to generate and provide images that bring good fortune.

[0097] Server Operation

[0098] 1. Data Collection

[0099] The server runs a script that runs periodically every morning to collect fortune-telling information from multiple fortune-telling sources using web crawling and API access. Specifically, it uses Python's BeautifulSoup library to scrape data from websites and retrieves data from fortune-telling sources using APIs.

[0100] 2. Data Analysis and Summary

[0101] The server parses the collected data and converts it into a data frame using the Pandas library. It then aggregates and summarizes the data from each fortune-telling source. Duplicate information is filtered out, and a weighted average is taken, taking into account the reliability score, to generate a unique fortune.

[0102] 3. Sending fortune information

[0103] The server converts the summarized fortune information into JSON format and sends it to the user's device via an HTTP POST request to the API endpoint of the client app installed on the user's device.

[0104] Device behavior

[0105] 4. Data Reception and Analysis

[0106] The device receives the JSON formatted fortune information sent from the server, parses it using the client app, and stores it in an internal data structure. The data contents are checked to ensure that the fortune information is included correctly.

[0107] 5. Image Generation

[0108] The device activates a generative AI model based on the analyzed fortune information and generates an image by sending a specific prompt message, such as "Generate an image that includes a blue background and a frog, symbolizing good luck for an Aries based on their horoscope for today."

[0109] The device receives images output from a generative AI model (e.g., Stable Diffusion or DALL-E) and stores them in its internal storage.

[0110] 6. Image provision and wallpaper setting

[0111] The terminal provides the generated image to the user and provides an option to set it as wallpaper. The terminal displays the image through a user interface, allowing the user to select whether to set it as wallpaper.

[0112] When a user selects the wallpaper setting, the device automatically sets the image as wallpaper using the OS API, saving the user time.

[0113] User operations

[0114] 7. Check the image and set it as wallpaper

[0115] The user checks the generated image presented by the device and is prompted with the message, "This image reflects your fortune for the day. Would you like to set it as your wallpaper?"

[0116] The user selects "Yes" or "No." If they select "Yes," the device immediately sets the image as wallpaper. If they select "No," the image is saved and kept within the app for the user to set later.

[0117] Specific examples

[0118] For example, if User A is an Aries, the server collects data from "Fortune-telling Information Source A" that says, "Aries' fortunes today are good for work, and their lucky color is blue," and from "Fortune-telling Information Source B" that says, "Aries' fortunes today are good for love, and their lucky item is a frog." These data are analyzed and summarized to generate harmonized fortune information such as, "Aries' fortunes today: good for work and love, their lucky color is blue, and their lucky item is a frog."

[0119] Based on this fortune information sent to the device, the device sends a prompt to the generation AI model. Specifically, the prompt uses the following: "Generate an image that includes a blue background and a frog, symbolizing good luck for an Aries based on their horoscope for today." The generated image is a good luck image with a blue background and a frog design. When User A confirms the image and selects "Yes," the smartphone wallpaper is changed to the generated good luck image.

[0120] In this way, the system of the present invention can provide harmonized fortune information from multiple divination sources, providing users with a means to incorporate a visual element of good fortune.

[0121] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0122] Step 1: Data collection

[0123] The server runs a Python script periodically at 6:00 AM every morning. The input is the URL or API endpoint of each fortune-telling information source. The script uses BeautifulSoup to crawl the web and collect data such as fortune information for each zodiac sign, lucky colors, lucky items, etc. The collected data is converted to JSON format and stored in a local MySQL database.

[0124] Step 2: Data analysis and summary

[0125] The server retrieves the latest fortunes from the database using an SQL query. The input is raw fortune data. The retrieved data is converted into a data frame using Python's Pandas library. Next, the data from each source is integrated, and duplicate information is filtered to generate unique fortunes. During this process, a weighted average is taken into account, taking into account the reliability score. The output is a data frame of harmonized fortunes.

[0126] Step 3: Send your fortune

[0127] The server converts the generated fortune information into JSON format and sends it to the user's device via an HTTP POST request. The input is a data frame of harmonized fortune information, and the output is the JSON data sent to the user's device. This process requires the user's registration information (star sign, device ID).

[0128] Step 4: Data reception and analysis

[0129] The device receives fortune information in JSON format sent from the server. The input is the JSON data received from the server. The client application parses this data and stores it in an internal data structure. It checks the data content and verifies that the fortune information is correctly included. The output is the parsed fortune information.

[0130] Step 5: Image generation

[0131] The device launches a generative AI model based on the analyzed fortune information. The input is the analyzed fortune information. A specific prompt is sent to the generative AI model. For example, the prompt might be, "Generate an image that includes a blue background and a frog, symbolizing good luck for an Aries based on their horoscope for today." The device receives image data output from the generative AI model (for example, Stable Diffusion or DALL-E) and saves it in internal storage. The output is the generated image data.

[0132] Step 6: Provide images and set wallpaper

[0133] The device displays the generated image through the app's interface to provide it to the user. The input is the generated image data. The user is given the option to set it as wallpaper. If the user selects "Yes," the image is set as wallpaper using the OS API. The output is the image set as wallpaper on the user's device.

[0134] Step 7: Check the image and set it as wallpaper

[0135] The user checks the generated image presented by the device and is prompted with the message, "This image reflects your fortune for the day. Would you like to set it as your wallpaper?" The input is the generated image presented by the device. If the user selects "Yes," the device immediately sets the image as wallpaper. If the user selects "No," the image is saved and retained within the app so that the user can set it later. The output is the image set as wallpaper or the saved image.

[0136] Through the above processing steps, the user can enjoy a fresh and visually appealing fortune-telling experience.

[0137] (Application example 1)

[0138] 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."

[0139] In conventional fortune-telling information systems, the fortune information provided to users is limited to simple text and images, making it difficult to directly influence the user's specific lifestyle and behavior. Furthermore, product recommendations based on fortune information are not commonly made, resulting in a lack of mechanisms to stimulate users' purchasing motivation based on their daily fortunes. Furthermore, there is a need for a means to improve users' purchasing experience by not only visually enjoying fortune-telling information but also receiving product recommendations based on the day's fortune.

[0140] 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.

[0141] In this invention, the server includes means for collecting data from multiple fortune-telling information sources, means for analyzing the collected data and summarizing the information, means for generating images based on the summarized information, means for providing the generated images to the user's terminal, and means for proposing products based on the summarized information and customizing the product images using a generative AI model. This allows users to not only enjoy visual information based on their daily fortunes, but also receive product suggestions customized to match the fortune information, thereby increasing their desire to purchase.

[0142] "Fortune-telling information sources" refer to fortune-telling data provided by multiple reliable fortune-tellers, fortune-telling sites, applications, etc.

[0143] "Means of collecting data" refers to the methods and techniques of web crawling and API calls to obtain fortune-telling information from fortune-telling sources.

[0144] "Means for analyzing data and summarizing information" refers to the technology and systems that integrate collected fortune-telling data and harmonize and summarize information such as fortunes for each zodiac sign, lucky colors, lucky items, etc.

[0145] "Means for generating images" refers to methods and techniques that use a generative AI model based on summarized fortune information to generate images that include visual elements.

[0146] "Means for providing generated images to a user's device" refers to the methods and technologies for transmitting and displaying generated images on a user's device, such as a smartphone or PC.

[0147] "Means for suggesting products and customizing product images using a generative AI model" refers to methods and technologies for selecting recommended products based on summarized fortune information and customizing product images using a generative AI model.

[0148] "Lucky images" refers to visual content that reflects the user's fortune information, such as lucky colors and lucky items.

[0149] "Means of providing an image in a format that can be set as wallpaper on a user's device" refers to methods and technologies for providing the generated image in a format that can be easily set as wallpaper on a device such as a smartphone or PC.

[0150] "Fortune information" refers to information about the fortunes of each zodiac sign, predicted events, and fortune categories obtained from fortune-telling information sources.

[0151] A "lucky color" refers to a specific color that is said to bring good fortune on that day.

[0152] A "lucky item" refers to a specific object or symbol that is said to bring good fortune for the day.

[0153] The present invention relates to a system that provides a new fortune-telling experience using generative AI. This system analyzes and summarizes fortune information collected from multiple fortune-telling sources, and generates and provides images that bring good luck based on the results. It also has the function of suggesting recommended products based on the user's fortune information and customizing the product images using a generative AI model. Specific embodiments of the present invention are described below.

[0154] Server Operation

[0155] 1. Data Collection

[0156] The server accesses multiple reliable fortune-telling sources based on a schedule every morning to collect fortune-telling information, using web crawling and APIs to obtain information such as today's fortune, lucky colors, lucky items, etc. for each zodiac sign.

[0157] 2. Data Analysis and Summary

[0158] The server analyzes the collected fortune information, integrates and summarizes the data from each source, and unifies overlapping information such as fortune items (e.g., career fortune, love fortune, health fortune), lucky colors, lucky items, etc. to generate harmonized fortune information.

[0159] 3. Sending fortune information

[0160] The server sends the summarized fortune information to the user's device, which serves as the basis for the user to generate good luck images and product images on their device.

[0161] Device behavior

[0162] 4. Data Analysis

[0163] The device receives and analyzes the fortune information sent from the server, and verifies that the received data includes specific suggestions for fortune (lucky colors, lucky items, products).

[0164] 5. Image Generation

[0165] The device then runs a generative AI model (e.g., OpenAI's DALLE-2) based on the analyzed fortune information to generate a lucky image that reflects specific lucky colors and items. The generative AI model also uses the summarized information to recommend products and customize the product images. An example prompt might be, "Create an image featuring a frog in blue."

[0166] 6. Image provision and wallpaper setting

[0167] The device provides the generated good luck image and customized product image to the user and displays them in a format that can be set as wallpaper on a PC or smartphone. By setting this image as wallpaper, the user can visually enjoy their daily fortune and can also view and purchase the presented products.

[0168] User operations

[0169] 7. Check the image and set it as wallpaper

[0170] The user can check the generated image provided by the device and set it as wallpaper if necessary. This allows the user to visually incorporate lucky items based on their daily fortune. The user can also check the suggested products and purchase any that interest them.

[0171] Specific examples

[0172] For example, if User A is an Aries, the server collects data from "Fortune-telling Source A" that reads, "Aries' fortunes today are good for work, and their lucky color is blue," and from "Fortune-telling Source B" that reads, "Aries' fortunes today are on the rise in love, and their lucky item is a frog." This data is analyzed and summarized to generate harmonized fortune information: "Aries' fortunes today: good for work and love, their lucky color is blue, and their lucky item is a frog." Based on this fortune information sent to the device, the device generates a lucky image with a blue base and a frog design. At the same time, the AI ​​model also customizes the image of the recommended product for that day (e.g., merchandise with a blue frog design). User A confirms this image and selects "Yes," which changes the smartphone wallpaper to the generated lucky image and gives the user the option to purchase the presented product.

[0173] In this way, the system of the present invention provides harmonized fortune information from multiple divination sources, provides users with a means to incorporate visual fortune elements, and provides product recommendations based on the fortune of the day.

[0174] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0175] Step 1:

[0176] Data collection

[0177] Input: URL or API endpoint of fortune-telling source

[0178] How it works: Every morning, the server accesses multiple fortune-telling information sources based on a schedule using web crawling techniques and API calls to collect fortune-telling information (today's fortune for each zodiac sign, lucky colors, lucky items, etc.).

[0179] Output: A dataset of collected fortune information

[0180] Step 2:

[0181] Data analysis and summary

[0182] Input: A dataset of collected fortune information

[0183] How it works: The server analyzes the collected data, integrates and summarizes the data from each source, and unifies overlapping information such as fortune items (e.g., career fortune, love fortune, health fortune), lucky colors, lucky items, etc., to generate harmonized fortune information.

[0184] Output: Summary fortune information

[0185] Step 3:

[0186] Sending fortune information

[0187] Input: Summary fortune information

[0188] How it works: The server sends summarized fortune information to the user's device. This information serves as the basis for the user to generate good luck images and product images on their device.

[0189] Output: Fortune information sent to the user's device

[0190] Step 4:

[0191] Data analysis

[0192] Input: Fortune information sent from the server

[0193] Operation: The device analyzes the received fortune information and verifies that it contains specific suggestions (lucky colors, lucky items, products). The analyzed data forms the basis for image generation and product suggestions.

[0194] Output: Detailed fortune data for image generation and product recommendations

[0195] Step 5:

[0196] Image generation

[0197] Input: Detailed fortune data

[0198] How it works: The device launches a generative AI model (e.g., OpenAI's DALLE-2) based on the analyzed fortune information to generate a lucky image that reflects lucky colors and lucky items. It also suggests recommended products based on the summarized information and customizes the product images using the generative AI model. An example prompt is "Create an image featuring a frog in blue."

[0199] Output: Generated lucky images and customized product images

[0200] Step 6:

[0201] Image provided and wallpaper setting

[0202] Input: Generated lucky image and customized product image

[0203] Operation: The device provides the generated image to the user and displays it in a format that can be set as wallpaper on a PC or smartphone. By setting this image as wallpaper, the user can visually enjoy their daily fortune and can also browse and purchase the products presented.

[0204] Output: Image displayed on the user's device and wallpaper setting options

[0205] Step 7:

[0206] Check image and set wallpaper

[0207] Input: Generated images and product suggestions provided by the device

[0208] How it works: The user checks the generated image provided by the device and sets it as wallpaper if desired. This allows the user to visually incorporate lucky items based on their daily fortune. The user is also given the option to purchase the suggested items.

[0209] Output: Wallpaper image and purchasable product information

[0210] 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.

[0211] This invention relates to a system that provides a new fortune-telling experience by combining generative AI and an emotion engine. This system analyzes and summarizes fortune information collected from multiple fortune-telling information sources, and generates and provides images that bring good fortune based on the results in response to the user's emotions. Specific embodiments of the invention are described below.

[0212] Server Operation

[0213] 1. Data Collection

[0214] The server accesses multiple reliable fortune-telling sources based on a schedule every morning to collect fortune-telling information, using web crawling and APIs to obtain information such as today's fortune, lucky colors, lucky items, etc. for each zodiac sign.

[0215] 2. Data Analysis and Summary

[0216] The server analyzes the collected fortune information, integrates and summarizes the data from each source, and unifies overlapping information such as fortune items (e.g., career fortune, love fortune, health fortune), lucky colors, lucky items, etc. to generate harmonized fortune information.

[0217] 3. Sending fortune information

[0218] The server sends the summarized fortune information to the user's device, which serves as the basis for the user to generate good luck images on their device.

[0219] Device behavior

[0220] 4. Operation of the Emotion Engine

[0221] The device is equipped with an emotion engine for recognizing the user's emotions by analyzing the user's voice, facial expressions, and input data.

[0222] 5. Data Analysis and Customization

[0223] The device receives and analyzes the fortune information sent from the server, and dynamically adjusts the content of the fortune information display and the content of the generated image based on the user's emotions.

[0224] 6. Image Generation

[0225] The device then activates a generative AI model based on the analyzed fortune information and the user's emotions to generate a new image, which includes colors and designs that reflect the user's emotions.

[0226] 7. Image provision and wallpaper setting

[0227] The device provides the generated image of good fortune to the user and displays it in a format that can be set as wallpaper on a PC or smartphone. By setting this image as wallpaper, users can enjoy the visual of their daily fortune and start their day in a way that is in tune with their emotions.

[0228] User operations

[0229] 8. Check the image and set it as wallpaper

[0230] The user can check the generated image provided by the device and set it as wallpaper if necessary. This allows the user to visually incorporate lucky items based on their daily fortune while receiving support tailored to their individual emotions.

[0231] Specific examples

[0232] For example, if User B is an Aries and the emotion engine recognizes that his current emotion is "feeling stressed," the server collects data from "Fortune-telling Information Source A" that reads, "Aries' fortunes today are good for work, and their lucky color is blue," and from "Fortune-telling Information Source B" that reads, "Aries' fortunes today are good for love, and their lucky item is a frog." These data are analyzed and summarized to generate harmonized fortune information such as, "Aries' fortunes today: good for work and love, their lucky color is blue, and their lucky item is a frog."

[0233] The device uses its emotion engine to obtain information that "the user is feeling stressed," and combines this with the fortune information to generate a lucky image with a blue frog design that incorporates soothing elements. When User B confirms this image and selects "yes," the smartphone wallpaper is changed to the generated soothing lucky image.

[0234] As a result, the system of the present invention provides fortune information harmonized from multiple fortune-telling information sources, and further generates and provides images that bring good fortune customized based on the user's emotions, thereby providing support that is in tune with the user's emotions and helping them start their day off right.

[0235] The processing flow will be explained below.

[0236] Step 1:

[0237] Every morning, the server accesses multiple reliable fortune-telling sources based on a schedule, using web crawling and APIs to send requests to obtain information such as today's horoscope, lucky colors, and lucky items for each zodiac sign.

[0238] Step 2:

[0239] The server receives data collected from each fortune-telling information source. This data contains multiple elements, such as "Today's horoscope for Aries: Good luck in work, lucky color is blue" from "Fortune-telling information source A" and "Today's horoscope for Aries: Good luck in love, lucky item is frog" from "Fortune-telling information source B."

[0240] Step 3:

[0241] The server analyzes the received data and integrates each element of fortune (e.g., career luck, love luck, health luck), lucky color, lucky item, etc. Specifically, it compares and evaluates data from multiple sources and unifies overlapping or different content.

[0242] Step 4:

[0243] The server generates a summary result as unified fortune information: "Today's fortune for Aries: Good luck in work and love. Lucky color is blue. Lucky item is frog."

[0244] Step 5:

[0245] The server then sends the generated summary to the user's device using a communication protocol and data format (e.g., JSON or XML) for remotely connecting to the user's device and transmitting data.

[0246] Step 6:

[0247] The device receives the fortune information sent from the server, analyzes this information within the device, and identifies each element of fortune, lucky color, lucky item, etc.

[0248] Step 7:

[0249] The device activates an emotion engine to recognize the user's emotions. The emotion engine analyzes the user's voice, facial expressions, and input data in real time to identify the user's current emotional state. For example, it may use a camera or microphone to analyze the user's facial expressions and voice to determine that they are "feeling stressed."

[0250] Step 8:

[0251] The device integrates the analyzed fortune information with the recognized emotional data. Specifically, if the user is feeling stressed, it will select colors and designs that have a soothing effect.

[0252] Step 9:

[0253] The device activates the generative AI model and generates a new image based on the integrated fortune information and emotional data. For example, input parameters such as "lucky color: blue," "lucky item: frog," and "current emotion: feeling stressed" into the AI ​​model and obtain the generated image.

[0254] Step 10:

[0255] The device displays the generated image to the user and pops up a dialog box asking, "Do you want to set this image as wallpaper?" This allows the user to easily check and set the image.

[0256] Step 11:

[0257] The user checks the generated image and, if necessary, selects whether to set it as wallpaper.

[0258] Step 12:

[0259] If the user selects "Yes," the device calls the wallpaper setting API and sets the generated image as the device's wallpaper.

[0260] These processing steps enable the server, terminal, and user to work together to provide harmonious fortune information and generate and provide images that bring good fortune and are customized based on the user's emotions.

[0261] Example 2

[0262] 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."

[0263] Conventional fortune-telling systems simply provide information such as fortunes, lucky colors, lucky items, etc., and are unable to provide a more personalized experience that reflects the user's emotions. In addition, the means for visually expressing the generated information are limited, making it difficult for users to find new value in their everyday fortune-telling experience.

[0264] 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 collecting data from multiple fortune-telling information sources, means for analyzing the collected data and summarizing the information, means for recognizing the user's emotions, means for generating a prompt sentence based on the summarized information and the recognized emotion, means for generating an image using a generative AI model based on the generated prompt sentence, and means for providing the generated image to the user's terminal. This makes it possible to generate an image that brings good fortune in line with the user's emotions and provide a more personalized fortune-telling experience.

[0265] "Fortune Telling Sources" are external data sources used to provide fortune telling information, including, for example, fortune telling websites and APIs.

[0266] "Means of collecting data" means the technical means used to obtain the required fortune information, lucky colors, and lucky items from external fortune-telling sources, including web crawling and API requests.

[0267] "Means of analyzing data and summarizing information" means the technological means used to unify collected data, eliminate redundancies and inconsistencies, and convert it into a meaningful form, including natural language processing and data mining techniques.

[0268] "Means for recognizing a user's emotions" refers to technical means used to identify emotions by analyzing the user's voice, facial expressions, input data, etc., and includes voice recognition and facial recognition technology.

[0269] "Means for generating prompt text" means technical means for creating text to input into a generative AI model based on the summarized information and the recognized sentiment.

[0270] "Means for generating images using a generative AI model" refers to AI technology that receives generated prompt text as input and uses it to create images based on the content of the generated prompt text, including, for example, generative adversarial networks and AI tools dedicated to image generation.

[0271] "Means for providing images to the user's device" means the technical means used to transfer the generated images to the user's device and provide the ability to display, save or set them as wallpaper.

[0272] This invention is a system that provides a new fortune-telling experience by combining generative AI and an emotion engine. This system analyzes and summarizes fortune information collected from multiple fortune-telling information sources, and generates and provides images that bring good fortune based on the results in response to the user's emotions. Specific embodiments are described below.

[0273] Server Operation

[0274] 1. Data Collection

[0275] The server uses an automatic scheduler to collect fortune-telling information from multiple reliable fortune-telling sources at a fixed time every morning. Specifically, it obtains information such as fortunes for each zodiac sign, lucky colors, lucky items, etc. through the fortune-telling website's API. For example, it performs web crawling and API requests using the Python https library.

[0276] 2. Data Analysis and Summary

[0277] The server analyzes the collected fortune information using Python's pandas library, integrates and summarizes the data from each source, and in the process, uses natural language processing technology to eliminate data duplication and inconsistencies and generate harmonized fortune information.

[0278] 3. Sending fortune information

[0279] The server sends the summarized fortune information in JSON format to the user's device using an HTTP POST request.

[0280] Device behavior

[0281] 4. Operation of the Emotion Engine

[0282] The device is equipped with an emotion engine that analyzes voice, facial expressions, and input data to recognize the user's emotions. This emotion engine utilizes technologies such as Microsoft Azure's Cognitive Services.

[0283] 5. Data Analysis and Customization

[0284] The device analyzes the fortune information received from the server and customizes the fortune information and generated images based on the user's emotions. For example, if the user is feeling stressed, the device generates an image that includes elements that have a relaxing effect.

[0285] 6. Image Generation

[0286] The device launches a generative AI model (e.g., OpenAI's DALL-E) and generates an image by inputting a prompt based on the analyzed fortune information and the user's emotions. An example of a prompt is, "Based on today's fortune, please generate a soothing wallpaper with a blue base that will relieve stress."

[0287] 7. Image provision and wallpaper setting

[0288] The device provides the user with the generated image that brings good fortune, and displays it in a format that can be set as wallpaper on a PC or smartphone. By checking the generated image provided by the device and setting it as wallpaper, users can enjoy the visual of their daily fortune and start their day happily in a way that is in line with their emotions.

[0289] User operations

[0290] Users can check the generated images provided by their device and set them as wallpaper if necessary. This allows them to visually incorporate lucky items based on their daily fortunes while receiving support tailored to their emotions.

[0291] As described above, the system of the present invention integrates fortune-telling information and user emotions to provide a personalized fortune-telling experience. By combining a generative AI model with an emotion engine, it is possible to provide new value to users and support a richer daily life.

[0292] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0293] Step 1:

[0294] Data collection

[0295] The server accesses multiple fortune-telling sources every morning at 6:00 AM using an automatic scheduler to collect fortune-telling information. The input includes the API endpoint URLs of the fortune-telling sources. When these APIs are queried using the Python https library, the returned output is JSON data of the fortune, lucky color, and lucky item for each zodiac sign.

[0296] Step 2:

[0297] Data analysis and summary

[0298] The server parses the collected JSON formatted fortune information and converts it into a data frame using the Python pandas library. It uses the collected fortune information as input and summarizes this data using NLP techniques to eliminate duplicates and inconsistencies and summarize it into harmonized fortune information. As output, a unified data frame of fortune information is generated.

[0299] Step 3:

[0300] Sending fortune information

[0301] The server sends the summarized fortune information to the user's device using an HTTP POST request, with the data being the summarized fortune information in JSON format. The input contains the summarized fortune information, and the output is a response confirming the transmission to the user's device.

[0302] Step 4:

[0303] Emotion Engine Operation

[0304] The device recognizes emotions by analyzing the user's voice, facial expressions, and input data. The emotion engine uses Microsoft Azure's Cognitive Services and inputs include the user's image data and voice input data. The output is information about the user's emotional state (e.g., stress, joy, etc.).

[0305] Step 5:

[0306] Data Analysis and Customization

[0307] The device receives as input fortune information sent from the server and the user's emotional data recognized by the emotion engine. Based on this data, it generates prompts and customizes their content. For example, if the user is feeling stressed, a prompt with soothing content is generated. The customized prompt is generated as output.

[0308] Step 6:

[0309] Image generation

[0310] The device launches a generative AI model, receives a customized prompt as input, and generates an image. Here, a generative AI model (e.g., OpenAI's DALL-E) is used. The customized prompt is used as input, and the URL or binary data of the generated good luck image is obtained as output.

[0311] Step 7:

[0312] Image provided and wallpaper setting

[0313] The device displays the generated image to the user and offers the option to set it as wallpaper. The input contains the URL or binary data of the generated image. The output is the image provided to the user, who can choose whether to set it as wallpaper.

[0314] Step 8:

[0315] Check image and set wallpaper

[0316] The user can check the generated image provided and set it as wallpaper if necessary. The input is the provided image, and the output is the device with the image set as wallpaper.

[0317] (Application example 2)

[0318] 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."

[0319] Conventional fortune-telling services provide fixed fortune-telling information and lucky items, but they are unable to provide information that is appropriately customized to the user's emotions or mood of the day. Furthermore, while image generation is included as a way to visually enjoy fortune-telling results, it is not something that users can use in their daily lives, such as for fitness plans or product suggestions. Therefore, there is a demand for more personalized fortune-telling information and emotional support.

[0320] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for collecting data from multiple fortune-telling information sources, means for analyzing the collected data and summarizing the information, means for generating an image based on the summarized information, means for providing the generated image to the user's terminal, means for recognizing the user's emotion, and means for dynamically customizing the image based on the recognized emotion. This makes it possible to provide fortune information, fitness plans, and product suggestions customized according to the user's emotion.

[0321] "Multiple fortune-telling information sources" refers to information providers that provide multiple different fortune-telling-related data.

[0322] "Means of collecting data" refers to the devices and methods used to obtain the necessary data from fortune-telling information sources using web crawling or APIs.

[0323] "Methods of analyzing collected data and summarizing information" refers to the process of integrating acquired data, removing redundancies and unnecessary parts, and converting them into concise and meaningful information.

[0324] The "means for generating an image based on summarized information" refers to a technique or algorithm for creating a visually meaningful image based on summarized fortune-telling information.

[0325] "Means for providing generated images to a user's device" refers to a system for transmitting and displaying generated image data on a user's digital device such as a smartphone or computer.

[0326] "Means for recognizing user emotions" refers to a system or algorithm that analyzes a user's facial expressions, voice, or input data to determine their emotional state.

[0327] "Means for dynamically customizing images based on recognized emotions" refers to a technique for changing the content and design of an image in a way that corresponds to the user's current emotional state.

[0328] "Lucky images" are images that are intended to visually improve the user's fortunes based on fortune-telling information, lucky colors, and lucky items.

[0329] "A format that can be set as wallpaper on a user's device" means a file format in which the generated image can be set as the standby screen of a digital device such as a smartphone or computer.

[0330] The "navigation means for suggesting fitness plans and products" is a system that guides and recommends appropriate fitness activities and products to users based on their emotional state and fortune information.

[0331] "Generative AI model" refers to algorithms or software for image and document generation using artificial intelligence.

[0332] A "prompt sentence" is an input text that causes a generative AI model to generate output.

[0333] DETAILED DESCRIPTION OF THE INVENTION The following describes an embodiment of the present invention.

[0334] The server first collects data from multiple fortune-telling information sources. Specifically, it uses web crawlers and APIs to obtain data such as fortunes, lucky colors, and lucky items from fortune-telling-related sites and services. This collection process uses common web crawling tools such as Beautiful Soup and Scrapy.

[0335] The server then analyzes the collected data and summarizes the information. Using pandas, a Python data analysis library, it removes duplicate data, consolidates information, and summarizes the daily fortune information concisely. As a result, the fortune information obtained from each fortune-telling source is integrated and harmonized data is generated for delivery to users.

[0336] The server generates an image based on the summarized fortune information. In this process, a generative AI model is used to generate an image that matches the user's fortune, lucky color, and lucky item. OpenAI's GPT-3 and DALL-E are used as generative AI models. The generated image data is then sent to the user's device.

[0337] The device is equipped with an emotion engine that recognizes the user's emotions. The emotion engine uses Microsoft Azure Cognitive Services. The engine analyzes the user's facial expressions and voice data to determine the user's current emotional state.

[0338] Based on the emotional data recognized by the emotion engine, the device dynamically customizes the generated fortune information and images. For example, if the user is feeling stressed, the device will adjust the color and design of the generated image to provide an image with soothing elements that is tailored to the user. This provides visual support that is tailored to the user's emotional state.

[0339] The device also has a function to provide the generated image in a format that can be set as wallpaper on the user's device. With a simple operation, the user can set this image as wallpaper on their smartphone or computer.

[0340] The device also has a navigation function that suggests fitness plans and products based on the user's emotional state and fortune-telling information. Based on the fortune-telling information and emotional data sent from the server, the device guides users to appropriate fitness activities and product sections. This allows users to incorporate fortune-telling information into their real-life action plans.

[0341] Specific examples

[0342] For example, if the user is an Aries and the emotion engine recognizes that the user is feeling "stressed," the server collects data from "Fortune-telling information source A" that reads, "Aries' fortunes today are good for work, and their lucky color is blue," and from "Fortune-telling information source B" that reads, "Aries' fortunes today are rising in love, and their lucky item is a frog." The server analyzes and summarizes this data to generate harmonized fortune information such as, "Aries' fortunes today: good for work and love, their lucky color is blue, and their lucky item is a frog."

[0343] Based on this summary, a generative AI model is used to generate a blue-based frog design with soothing elements, which is then sent to the user's smart glasses or device.

[0344] The device will also suggest relaxation fitness plans based on the user's emotional data, such as the level of stress they are feeling.

[0345] Examples of prompts for generative AI models include:

[0346] The user is an Aries and is feeling stressed. This is a good day for work and love. The lucky color is blue, and the lucky item is a frog. Use this information to generate a fitness plan and an attractive image.

[0347] This improves the user experience by providing personalized fortune-telling and fitness plans that are tailored to the user's emotional state.

[0348] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0349] Step 1: Data collection

[0350] The server collects data from multiple fortune-telling information sources. Specifically, the server uses a web crawling tool (e.g., Beautiful Soup or Scrapy) or an API to obtain data on fortunes, lucky colors, and lucky items from each fortune-telling information source. This allows the server to access each fortune-telling information source, collect data, and store it in a local database.

[0351] Input: Fortune-telling source URL or API key

[0352] Output: Collected raw data (fortune information, lucky color, lucky item)

[0353] Step 2: Data analysis and summary

[0354] The server analyzes the collected data and summarizes the information. Specifically, it uses Python data analysis libraries (e.g., pandas) to remove duplicate data, consolidate information, and remove unnecessary data. Finally, it summarizes the daily fortune information concisely.

[0355] Input: Raw data collected

[0356] Output: Summary of fortune information (fortune items, lucky colors, lucky items)

[0357] Step 3: Send your fortune

[0358] The server sends the summarized fortune information to the user's device using protocols that transmit data in real time over the Internet (e.g., HTTP, WebSocket, etc.).

[0359] Input: Summary fortune information

[0360] Output: Data sent to the user's device

[0361] Step 4: Emotion Recognition

[0362] The device uses Microsoft Azure Cognitive Services to recognize the user's emotions. It collects facial expressions and voice data through the user's camera and microphone, and inputs that data into an emotion engine, which then analyzes the data and determines the user's current emotional state.

[0363] Input: User's facial expression data and voice data

[0364] Output: Perceived emotional state (e.g., stress, happiness, sadness, etc.)

[0365] Step 5: Data Analysis and Customization

[0366] The device integrates and analyzes the recognized emotion data and the fortune information sent from the server. This allows the fortune information to be customized according to the user's emotional state. The data is analyzed using Python libraries (e.g., NumPy, SciPy).

[0367] Input: Recognized emotional state, transmitted fortune information

[0368] Output: Customized fortune information

[0369] Step 6: Image generation

[0370] The device generates images using a generative AI model (e.g., GPT-3, DALL-E) based on the recognized emotional state and customized fortune information, and instructs the generative AI model to generate images using specific prompts.

[0371] Input: customized fortune information, perceived emotional state

[0372] Output: The generated image

[0373] Step 7: Provide images and set wallpaper

[0374] The device provides the generated image to the user and displays it in a format that can be set as wallpaper on the device (e.g., JPEG, PNG), allowing the user to visually check the image and set it as wallpaper.

[0375] Input: Generated image

[0376] Output: Image set as wallpaper

[0377] Step 8: Navigate fitness plans and product recommendations

[0378] The device provides a navigation function that suggests appropriate fitness plans and products based on the user's emotional state and fortune information. The navigation system guides the user to specific fitness areas and product sections.

[0379] Input: Recognized emotional state, customized fortune information

[0380] Output: User's fitness plan and product recommendations navigation

[0381] 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.

[0382] 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.

[0383] 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.

[0384] [Second embodiment]

[0385] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0386] 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.

[0387] 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).

[0388] 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.

[0389] 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.

[0390] 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).

[0391] 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.

[0392] 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.

[0393] 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.

[0394] 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.

[0395] In the smart glasses 214, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0396] 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."

[0397] The present invention relates to a system that provides a new fortune-telling experience using generative AI. This system analyzes and summarizes fortune information collected from multiple fortune-telling sources, and generates and provides images that bring good luck based on the results. Specific embodiments of the present invention are described below.

[0398] Server Operation

[0399] 1. Data Collection

[0400] The server accesses multiple reliable fortune-telling sources based on a schedule every morning to collect fortune-telling information, using web crawling and APIs to obtain information such as today's fortune, lucky colors, lucky items, etc. for each zodiac sign.

[0401] 2. Data Analysis and Summary

[0402] The server analyzes the collected fortune information, integrates and summarizes the data from each source, and unifies overlapping information such as fortune items (e.g., career fortune, love fortune, health fortune), lucky colors, lucky items, etc. to generate harmonized fortune information.

[0403] 3. Sending fortune information

[0404] The server sends the summarized fortune information to the user's device, which serves as the basis for the user to generate good luck images on their device.

[0405] Device behavior

[0406] 4. Data Analysis

[0407] The device receives and analyzes the fortune information sent from the server, and verifies that the received data contains specific suggestions for fortune (lucky colors, lucky items).

[0408] 5. Image Generation

[0409] Based on the analyzed fortune information, the device activates a generative AI model to generate images that bring good fortune, reflecting specific lucky colors and lucky items, with designs that enhance the interactive experience with the user.

[0410] 6. Image provision and wallpaper setting

[0411] The device provides the generated image of good fortune to the user and displays it in a format that can be set as wallpaper on a PC or smartphone. By setting this image as wallpaper, users can start their day happily while visually enjoying their daily fortune.

[0412] User operations

[0413] 7. Check the image and set it as wallpaper

[0414] The user can check the generated image provided by the device and set it as wallpaper if necessary, allowing the user to visually incorporate lucky items based on their daily fortune.

[0415] Specific examples

[0416] For example, if User A is an Aries, the server collects data from "Fortune-telling Information Source A" that says, "Aries' fortunes today are good for work, and their lucky color is blue," and from "Fortune-telling Information Source B" that says, "Aries' fortunes today are good for love, and their lucky item is a frog." These data are analyzed and summarized to generate harmonized fortune information such as, "Aries' fortunes today: good for work and love, their lucky color is blue, and their lucky item is a frog."

[0417] Based on this fortune information sent to the device, the device generates a lucky image with a blue base and a frog design. User A checks this image and selects "Yes," and the smartphone wallpaper is changed to the generated lucky image.

[0418] In this way, the system of the present invention can provide harmonized fortune information from multiple divination sources, providing users with a means to incorporate a visual element of good fortune.

[0419] The processing flow will be explained below.

[0420] Step 1:

[0421] Every morning, the server accesses multiple reliable fortune-telling sources based on a schedule, using web crawling and APIs to send requests to obtain information such as today's horoscope, lucky colors, and lucky items for each zodiac sign.

[0422] Step 2:

[0423] The server receives data collected from each fortune-telling information source. This data contains multiple elements, such as "Today's horoscope for Aries: Good luck in work, lucky color is blue" from "Fortune-telling information source A" and "Today's horoscope for Aries: Good luck in love, lucky item is frog" from "Fortune-telling information source B."

[0424] Step 3:

[0425] The server analyzes the received data and integrates each element of fortune (e.g., career luck, love luck, health luck), lucky color, lucky item, etc. Specifically, it compares and evaluates data from multiple sources and unifies overlapping or different content.

[0426] Step 4:

[0427] The server generates a summary result as unified fortune information: "Today's fortune for Aries: Good luck in work and love. Lucky color is blue. Lucky item is frog."

[0428] Step 5:

[0429] The server then sends the generated summary to the user's device using a communication protocol and data format (e.g., JSON or XML) for remotely connecting to the user's device and transmitting data.

[0430] Step 6:

[0431] The device receives the fortune information sent from the server, analyzes this information within the device, and identifies each element of fortune, lucky color, lucky item, etc.

[0432] Step 7:

[0433] The device activates the generative AI model based on the received information and generates a new image. Specifically, parameters such as "lucky color: blue" and "lucky item: frog" are input into the AI ​​model, and the generated image is obtained.

[0434] Step 8:

[0435] The device displays the generated image to the user and pops up a dialog box asking, "Do you want to set this image as wallpaper?" This allows the user to easily check and set the image.

[0436] Step 9:

[0437] The user checks the generated image and, if necessary, selects whether to set it as wallpaper.

[0438] Step 10:

[0439] If the user selects "Yes," the device calls the wallpaper setting API and sets the generated image as the device's wallpaper.

[0440] These specific steps will enable the server, terminal, and user to work together to provide harmonious fortune-telling information and generate and provide images that bring good fortune.

[0441] Example 1

[0442] 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."

[0443] Conventional fortune-telling systems rely on fortune-telling information from a single source, often resulting in a lack of reliability. Furthermore, there are limited ways for users to visually enjoy fortune-telling results and use them on a daily basis, creating a need for a more engaging fortune-telling experience. Furthermore, the process of individually collecting and analyzing fortune-telling information and providing it in a format tailored to each user is time-consuming, making it challenging to provide an efficient, high-quality service.

[0444] 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.

[0445] In this invention, the server includes means for collecting data from multiple reliable fortune-telling information sources, means for analyzing the collected data, integrating and summarizing the data from each source, and means for transmitting the summarized fortune information to the user's terminal, thereby providing fortune information harmonized from multiple fortune-telling information sources, providing the user with a means for incorporating a visual element of fortune, and realizing a more reliable fortune-telling experience.

[0446] A "reliable fortune-telling information source" is a source that provides fortune-telling data that has been highly accurate and reliable for a long period of time and is supported by many users.

[0447] "Means of collecting data" refers to the function of automatically obtaining the necessary data from fortune-telling information sources on the Internet using web crawling, API access, etc.

[0448] "Data analysis and integration methods" refers to the process of mechanically processing collected data and arranging the information into a single format based on specific rules, including eliminating duplicate information and prioritizing the information.

[0449] "Fortune information" refers to information about individual fortunes provided based on zodiac signs, birthdays, etc. This information includes career luck, love luck, health luck, etc.

[0450] "User's terminal" refers to an information processing device that a user uses on a daily basis, such as a smartphone, PC, or tablet.

[0451] A "generative AI model" is an algorithm that uses artificial intelligence to automatically generate the image a user desires from a given prompt. Typical examples include Stable Diffusion and DALL-E.

[0452] A "prompt sentence" refers to a text-based input sentence that provides specific instructions to a generative AI model and is used to specify the content and characteristics of the image to be generated.

[0453] "Means for generating images" refers to the process of automatically creating images with specific characteristics using a generative AI model based on the user's fortune information.

[0454] "Means for providing an image" refers to a function for displaying or saving the generated image on the user's terminal.

[0455] "A format that can be set as wallpaper" refers to a state in which image data has been converted into a resolution and file format that can be used on the user's device.

[0456] "Lucky images" refer to images that are created based on the user's fortune information and are expected to visually improve a sense of happiness and fortune.

[0457] This invention relates to a system that uses a generative AI model to provide a new fortune-telling experience. This system collects fortune information from multiple reliable fortune-telling sources, analyzes and summarizes it, and then provides the fortune information to the user's device. Based on this data, the user device activates a generative AI model to generate and provide images that bring good fortune.

[0458] Server Operation

[0459] 1. Data Collection

[0460] The server runs a script that runs periodically every morning to collect fortune-telling information from multiple fortune-telling sources using web crawling and API access. Specifically, it uses Python's BeautifulSoup library to scrape data from websites and retrieves data from fortune-telling sources using APIs.

[0461] 2. Data Analysis and Summary

[0462] The server parses the collected data and converts it into a data frame using the Pandas library. It then aggregates and summarizes the data from each fortune-telling source. Duplicate information is filtered out, and a weighted average is taken, taking into account the reliability score, to generate a unique fortune.

[0463] 3. Sending fortune information

[0464] The server converts the summarized fortune information into JSON format and sends it to the user's device via an HTTP POST request to the API endpoint of the client app installed on the user's device.

[0465] Device behavior

[0466] 4. Data Reception and Analysis

[0467] The device receives the JSON formatted fortune information sent from the server, parses it using the client app, and stores it in an internal data structure. The data contents are checked to ensure that the fortune information is included correctly.

[0468] 5. Image Generation

[0469] The device activates a generative AI model based on the analyzed fortune information and generates an image by sending a specific prompt message, such as "Generate an image that includes a blue background and a frog, symbolizing good luck for an Aries based on their horoscope for today."

[0470] The device receives images output from a generative AI model (e.g., Stable Diffusion or DALL-E) and stores them in its internal storage.

[0471] 6. Image provision and wallpaper setting

[0472] The terminal provides the generated image to the user and provides an option to set it as wallpaper. The terminal displays the image through a user interface, allowing the user to select whether to set it as wallpaper.

[0473] When a user selects the wallpaper setting, the device automatically sets the image as wallpaper using the OS API, saving the user time.

[0474] User operations

[0475] 7. Check the image and set it as wallpaper

[0476] The user checks the generated image presented by the device and is prompted with the message, "This image reflects your fortune for the day. Would you like to set it as your wallpaper?"

[0477] The user selects "Yes" or "No." If they select "Yes," the device immediately sets the image as wallpaper. If they select "No," the image is saved and kept within the app for the user to set later.

[0478] Specific examples

[0479] For example, if User A is an Aries, the server collects data from "Fortune-telling Information Source A" that says, "Aries' fortunes today are good for work, and their lucky color is blue," and from "Fortune-telling Information Source B" that says, "Aries' fortunes today are good for love, and their lucky item is a frog." These data are analyzed and summarized to generate harmonized fortune information such as, "Aries' fortunes today: good for work and love, their lucky color is blue, and their lucky item is a frog."

[0480] Based on this fortune information sent to the device, the device sends a prompt to the generation AI model. Specifically, the prompt uses the following: "Generate an image that includes a blue background and a frog, symbolizing good luck for an Aries based on their horoscope for today." The generated image is a good luck image with a blue background and a frog design. When User A confirms the image and selects "Yes," the smartphone wallpaper is changed to the generated good luck image.

[0481] In this way, the system of the present invention can provide harmonized fortune information from multiple divination sources, providing users with a means to incorporate a visual element of good fortune.

[0482] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0483] Step 1: Data collection

[0484] The server runs a Python script periodically at 6:00 AM every morning. The input is the URL or API endpoint of each fortune-telling information source. The script uses BeautifulSoup to crawl the web and collect data such as fortune information for each zodiac sign, lucky colors, lucky items, etc. The collected data is converted to JSON format and stored in a local MySQL database.

[0485] Step 2: Data analysis and summary

[0486] The server retrieves the latest fortunes from the database using an SQL query. The input is raw fortune data. The retrieved data is converted into a data frame using Python's Pandas library. Next, the data from each source is integrated, and duplicate information is filtered to generate unique fortunes. During this process, a weighted average is taken into account, taking into account the reliability score. The output is a data frame of harmonized fortunes.

[0487] Step 3: Send your fortune

[0488] The server converts the generated fortune information into JSON format and sends it to the user's device via an HTTP POST request. The input is a data frame of harmonized fortune information, and the output is the JSON data sent to the user's device. This process requires the user's registration information (zodiac sign, device ID).

[0489] Step 4: Data reception and analysis

[0490] The device receives fortune information in JSON format sent from the server. The input is the JSON data received from the server. The client application parses this data and stores it in an internal data structure. It checks the data content and verifies that the fortune information is correctly included. The output is the parsed fortune information.

[0491] Step 5: Image generation

[0492] The device launches a generative AI model based on the analyzed fortune information. The input is the analyzed fortune information. A specific prompt is sent to the generative AI model. For example, the prompt might be, "Generate an image that includes a blue background and a frog, symbolizing good luck for an Aries based on their horoscope for today." The device receives image data output from the generative AI model (for example, Stable Diffusion or DALL-E) and saves it in internal storage. The output is the generated image data.

[0493] Step 6: Provide images and set wallpaper

[0494] The device displays the generated image through the app's interface to provide it to the user. The input is the generated image data. The user is given the option to set it as wallpaper. If the user selects "Yes," the image is set as wallpaper using the OS API. The output is the image set as wallpaper on the user's device.

[0495] Step 7: Check the image and set it as wallpaper

[0496] The user checks the generated image presented by the device and is prompted with the message, "This image reflects your fortune for the day. Would you like to set it as your wallpaper?" The input is the generated image presented by the device. If the user selects "Yes," the device immediately sets the image as wallpaper. If the user selects "No," the image is saved and retained within the app so that the user can set it later. The output is the image set as wallpaper or the saved image.

[0497] Through the above processing steps, the user can enjoy a fresh and visually appealing fortune-telling experience.

[0498] (Application example 1)

[0499] 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."

[0500] In conventional fortune-telling information systems, the fortune information provided to users is limited to simple text and images, making it difficult to directly influence the user's specific lifestyle and behavior. Furthermore, product recommendations based on fortune information are not commonly made, resulting in a lack of mechanisms to stimulate users' purchasing motivation based on their daily fortunes. Furthermore, there is a need for a means to improve users' purchasing experience by not only visually enjoying fortune-telling information but also receiving product recommendations based on the day's fortune.

[0501] 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.

[0502] In this invention, the server includes means for collecting data from multiple fortune-telling information sources, means for analyzing the collected data and summarizing the information, means for generating images based on the summarized information, means for providing the generated images to the user's terminal, and means for proposing products based on the summarized information and customizing the product images using a generative AI model. This allows users to not only enjoy visual information based on their daily fortunes, but also receive product suggestions customized to match the fortune information, thereby increasing their desire to purchase.

[0503] "Fortune-telling information sources" refer to fortune-telling data provided by multiple reliable fortune-tellers, fortune-telling sites, applications, etc.

[0504] "Means of collecting data" refers to the methods and techniques of web crawling and API calls to obtain fortune-telling information from fortune-telling sources.

[0505] "Means for analyzing data and summarizing information" refers to the technology and systems that integrate collected fortune-telling data and harmonize and summarize information such as fortunes for each zodiac sign, lucky colors, lucky items, etc.

[0506] "Means for generating images" refers to methods and techniques that use a generative AI model based on summarized fortune information to generate images that include visual elements.

[0507] "Means for providing generated images to a user's device" refers to the methods and technologies for transmitting and displaying generated images on a user's device, such as a smartphone or PC.

[0508] "Means for suggesting products and customizing product images using a generative AI model" refers to methods and technologies for selecting recommended products based on summarized fortune information and customizing product images using a generative AI model.

[0509] "Lucky images" refers to visual content that reflects the user's lucky colors, lucky items, etc. based on their fortune information.

[0510] "Means for providing images in a format that can be set as wallpaper on a user's device" refers to methods and technologies for providing generated images in a format that can be easily set as wallpaper on devices such as smartphones and PCs.

[0511] "Fortune information" refers to information on fortunes for each zodiac sign, predicted events, and fortune categories obtained from fortune-telling information sources.

[0512] A "lucky color" refers to a specific color that is said to bring good fortune on that day.

[0513] A "lucky item" refers to a specific object or symbol that is said to bring good fortune for the day.

[0514] The present invention relates to a system that provides a new fortune-telling experience using generative AI. This system analyzes and summarizes fortune information collected from multiple fortune-telling sources, and generates and provides images that bring good luck based on the results. It also has the function of suggesting recommended products based on the user's fortune information and customizing the product images using a generative AI model. Specific embodiments of the present invention are described below.

[0515] Server Operation

[0516] 1. Data Collection

[0517] The server accesses multiple reliable fortune-telling sources based on a schedule every morning to collect fortune-telling information, using web crawling and APIs to obtain information such as today's fortune, lucky colors, lucky items, etc. for each zodiac sign.

[0518] 2. Data Analysis and Summary

[0519] The server analyzes the collected fortune information, integrates and summarizes the data from each source, and unifies overlapping information such as fortune items (e.g., career fortune, love fortune, health fortune), lucky colors, lucky items, etc. to generate harmonized fortune information.

[0520] 3. Sending fortune information

[0521] The server sends the summarized fortune information to the user's device, which serves as the basis for the user to generate good luck images and product images on their device.

[0522] Device behavior

[0523] 4. Data Analysis

[0524] The device receives and analyzes the fortune information sent from the server, and verifies that the received data includes specific suggestions for fortune (lucky colors, lucky items, products).

[0525] 5. Image Generation

[0526] The device then runs a generative AI model (e.g., OpenAI's DALLE-2) based on the analyzed fortune information to generate a lucky image that reflects specific lucky colors and items. The generative AI model also uses the summarized information to recommend products and customize the product images. An example prompt might be, "Create an image featuring a frog in blue."

[0527] 6. Image provision and wallpaper setting

[0528] The device provides the generated good luck image and customized product image to the user and displays them in a format that can be set as wallpaper on a PC or smartphone. By setting this image as wallpaper, the user can visually enjoy their daily fortune and can also view and purchase the presented products.

[0529] User operations

[0530] 7. Check the image and set it as wallpaper

[0531] The user can check the generated image provided by the device and set it as wallpaper if necessary. This allows the user to visually incorporate lucky items based on their daily fortune. The user can also check the suggested products and purchase any that interest them.

[0532] Specific examples

[0533] For example, if User A is an Aries, the server collects data from "Fortune-telling Source A" that reads, "Aries' fortunes today are good for work, and their lucky color is blue," and from "Fortune-telling Source B" that reads, "Aries' fortunes today are on the rise in love, and their lucky item is a frog." This data is analyzed and summarized to generate harmonized fortune information: "Aries' fortunes today: good for work and love, their lucky color is blue, and their lucky item is a frog." Based on this fortune information sent to the device, the device generates a lucky image with a blue base and a frog design. At the same time, the AI ​​model also customizes the image of the recommended product for that day (e.g., merchandise with a blue frog design). User A confirms this image and selects "Yes," which changes the smartphone wallpaper to the generated lucky image and gives the user the option to purchase the presented product.

[0534] In this way, the system of the present invention provides harmonized fortune information from multiple divination sources, provides users with a means to incorporate visual fortune elements, and provides product recommendations based on the fortune of the day.

[0535] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0536] Step 1:

[0537] Data collection

[0538] Input: URL or API endpoint of fortune-telling source

[0539] How it works: Every morning, the server accesses multiple fortune-telling information sources based on a schedule using web crawling techniques and API calls to collect fortune-telling information (today's fortune for each zodiac sign, lucky colors, lucky items, etc.).

[0540] Output: A dataset of collected fortune information

[0541] Step 2:

[0542] Data analysis and summary

[0543] Input: A dataset of collected fortune information

[0544] How it works: The server analyzes the collected data, integrates and summarizes the data from each source, and unifies overlapping information such as fortune items (e.g., career fortune, love fortune, health fortune), lucky colors, lucky items, etc., to generate harmonious fortune information.

[0545] Output: Summary fortune information

[0546] Step 3:

[0547] Sending fortune information

[0548] Input: Summary fortune information

[0549] How it works: The server sends summarized fortune information to the user's device. This information serves as the basis for the user to generate good luck images and product images on their device.

[0550] Output: Fortune information sent to the user's device

[0551] Step 4:

[0552] Data analysis

[0553] Input: Fortune information sent from the server

[0554] Operation: The device analyzes the received fortune information and verifies that it contains specific suggestions (lucky colors, lucky items, products). The analyzed data forms the basis for image generation and product suggestions.

[0555] Output: Detailed fortune data for image generation and product recommendations

[0556] Step 5:

[0557] Image generation

[0558] Input: Detailed fortune data

[0559] How it works: The device launches a generative AI model (e.g., OpenAI's DALLE-2) based on the analyzed fortune information to generate a lucky image that reflects lucky colors and lucky items. It also suggests recommended products based on the summarized information and customizes the product images using the generative AI model. An example prompt is "Create an image featuring a frog in blue."

[0560] Output: Generated lucky images and customized product images

[0561] Step 6:

[0562] Image provided and wallpaper setting

[0563] Input: Generated lucky image and customized product image

[0564] Operation: The device provides the generated image to the user and displays it in a format that can be set as wallpaper on a PC or smartphone. By setting this image as wallpaper, the user can enjoy the visual of their daily fortune and can also browse and purchase the products presented.

[0565] Output: Image displayed on the user's device and wallpaper setting options

[0566] Step 7:

[0567] Check image and set wallpaper

[0568] Input: Generated images and product suggestions provided by the device

[0569] How it works: The user checks the generated image provided by the device and sets it as wallpaper if desired. This allows the user to visually incorporate lucky items based on their daily fortune. The user is also given the option to purchase the suggested items.

[0570] Output: Wallpaper image and purchasable product information

[0571] 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.

[0572] This invention relates to a system that provides a new fortune-telling experience by combining generative AI and an emotion engine. This system analyzes and summarizes fortune information collected from multiple fortune-telling information sources, and generates and provides images that bring good fortune based on the results in response to the user's emotions. Specific embodiments of the invention are described below.

[0573] Server Operation

[0574] 1. Data Collection

[0575] The server accesses multiple reliable fortune-telling sources based on a schedule every morning to collect fortune-telling information, using web crawling and APIs to obtain information such as today's fortune, lucky colors, lucky items, etc. for each zodiac sign.

[0576] 2. Data Analysis and Summary

[0577] The server analyzes the collected fortune information, integrates and summarizes the data from each source, and unifies overlapping information such as fortune items (e.g., career fortune, love fortune, health fortune), lucky colors, lucky items, etc. to generate harmonized fortune information.

[0578] 3. Sending fortune information

[0579] The server sends the summarized fortune information to the user's device, which serves as the basis for the user to generate good luck images on their device.

[0580] Device behavior

[0581] 4. Operation of the Emotion Engine

[0582] The device is equipped with an emotion engine for recognizing the user's emotions by analyzing the user's voice, facial expressions, and input data.

[0583] 5. Data Analysis and Customization

[0584] The device receives and analyzes the fortune information sent from the server, and dynamically adjusts the content of the fortune information display and the content of the generated image based on the user's emotions.

[0585] 6. Image Generation

[0586] The device then activates a generative AI model based on the analyzed fortune information and the user's emotions to generate a new image, which includes colors and designs that reflect the user's emotions.

[0587] 7. Image provision and wallpaper setting

[0588] The device provides the generated image of good fortune to the user and displays it in a format that can be set as wallpaper on a PC or smartphone. By setting this image as wallpaper, users can enjoy the visual of their daily fortune and start their day in a way that is in tune with their emotions.

[0589] User operations

[0590] 8. Check the image and set it as wallpaper

[0591] The user can check the generated image provided by the device and set it as wallpaper if necessary. This allows the user to visually incorporate lucky items based on their daily fortune while receiving support tailored to their individual emotions.

[0592] Specific examples

[0593] For example, if User B is an Aries and the emotion engine recognizes that his current emotion is "feeling stressed," the server collects data from "Fortune-telling Information Source A" that reads, "Aries' fortunes today are good for work, and their lucky color is blue," and from "Fortune-telling Information Source B" that reads, "Aries' fortunes today are good for love, and their lucky item is a frog." These data are analyzed and summarized to generate harmonized fortune information such as, "Aries' fortunes today: good for work and love, their lucky color is blue, and their lucky item is a frog."

[0594] The device uses its emotion engine to obtain information that "the user is feeling stressed," and combines this with the fortune information to generate a lucky image with a blue frog design that incorporates soothing elements. When User B confirms this image and selects "yes," the smartphone wallpaper is changed to the generated soothing lucky image.

[0595] As a result, the system of the present invention provides fortune information harmonized from multiple fortune-telling information sources, and further generates and provides images that bring good fortune customized based on the user's emotions, thereby providing support that is in tune with the user's emotions and helping them start their day off right.

[0596] The processing flow will be explained below.

[0597] Step 1:

[0598] Every morning, the server accesses multiple reliable fortune-telling sources based on a schedule, using web crawling and APIs to send requests to obtain information such as today's horoscope, lucky colors, and lucky items for each zodiac sign.

[0599] Step 2:

[0600] The server receives data collected from each fortune-telling information source. This data contains multiple elements, such as "Today's horoscope for Aries: Good luck in work, lucky color is blue" from "Fortune-telling information source A" and "Today's horoscope for Aries: Good luck in love, lucky item is frog" from "Fortune-telling information source B."

[0601] Step 3:

[0602] The server analyzes the received data and integrates each element of fortune (e.g., career luck, love luck, health luck), lucky color, lucky item, etc. Specifically, it compares and evaluates data from multiple sources and unifies overlapping or different content.

[0603] Step 4:

[0604] The server generates a summary result as unified fortune information: "Today's fortune for Aries: Good luck in work and love. Lucky color is blue. Lucky item is frog."

[0605] Step 5:

[0606] The server then sends the generated summary to the user's device using a communication protocol and data format (e.g., JSON or XML) for remotely connecting to the user's device and transmitting data.

[0607] Step 6:

[0608] The device receives the fortune information sent from the server, analyzes this information within the device, and identifies each element of fortune, lucky color, lucky item, etc.

[0609] Step 7:

[0610] The device activates an emotion engine to recognize the user's emotions. The emotion engine analyzes the user's voice, facial expressions, and input data in real time to identify the user's current emotional state. For example, it may use a camera or microphone to analyze the user's facial expressions and voice to determine that they are "feeling stressed."

[0611] Step 8:

[0612] The device integrates the analyzed fortune information with the recognized emotional data. Specifically, if the user is feeling stressed, it will select colors and designs that have a soothing effect.

[0613] Step 9:

[0614] The device activates the generative AI model and generates a new image based on the integrated fortune information and emotional data. For example, input parameters such as "lucky color: blue," "lucky item: frog," and "current emotion: feeling stressed" into the AI ​​model and obtain the generated image.

[0615] Step 10:

[0616] The device displays the generated image to the user and pops up a dialog box asking, "Do you want to set this image as wallpaper?" This allows the user to easily check and set the image.

[0617] Step 11:

[0618] The user checks the generated image and, if necessary, selects whether to set it as wallpaper.

[0619] Step 12:

[0620] If the user selects "Yes," the device calls the wallpaper setting API and sets the generated image as the device's wallpaper.

[0621] These processing steps enable the server, terminal, and user to work together to provide harmonious fortune information and generate and provide images that bring good fortune and are customized based on the user's emotions.

[0622] Example 2

[0623] 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."

[0624] Conventional fortune-telling systems simply provide information such as fortunes, lucky colors, lucky items, etc., and are unable to provide a more personalized experience that reflects the user's emotions. In addition, the means for visually expressing the generated information are limited, making it difficult for users to find new value in their everyday fortune-telling experience.

[0625] 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 collecting data from multiple fortune-telling information sources, means for analyzing the collected data and summarizing the information, means for recognizing the user's emotions, means for generating a prompt sentence based on the summarized information and the recognized emotion, means for generating an image using a generative AI model based on the generated prompt sentence, and means for providing the generated image to the user's terminal. This makes it possible to generate an image that brings good fortune in line with the user's emotions and provide a more personalized fortune-telling experience.

[0626] "Fortune Telling Sources" are external data sources used to provide fortune telling information, including, for example, fortune telling websites and APIs.

[0627] "Means of collecting data" means the technical means used to obtain the required fortune information, lucky colors, and lucky items from external fortune-telling sources, including web crawling and API requests.

[0628] "Means of analyzing data and summarizing information" means the technological means used to unify collected data, eliminate redundancies and inconsistencies, and convert it into a meaningful form, including natural language processing and data mining techniques.

[0629] "Means for recognizing a user's emotions" refers to technical means used to identify emotions by analyzing the user's voice, facial expressions, input data, etc., and includes voice recognition and facial recognition technology.

[0630] "Means for generating prompt text" means technical means for creating text to input into a generative AI model based on the summarized information and the recognized sentiment.

[0631] "Means for generating images using a generative AI model" refers to AI technology that receives generated prompt text as input and uses it to create images based on the content of the generated prompt text, including, for example, generative adversarial networks and AI tools dedicated to image generation.

[0632] "Means for providing images to the user's device" means the technical means used to transfer the generated images to the user's device and provide the ability to display, save or set them as wallpaper.

[0633] This invention is a system that provides a new fortune-telling experience by combining generative AI and an emotion engine. This system analyzes and summarizes fortune information collected from multiple fortune-telling information sources, and generates and provides images that bring good fortune based on the results in response to the user's emotions. Specific embodiments are described below.

[0634] Server Operation

[0635] 1. Data Collection

[0636] The server uses an automatic scheduler to collect fortune-telling information from multiple reliable fortune-telling sources at a fixed time every morning. Specifically, it obtains information such as fortunes for each zodiac sign, lucky colors, lucky items, etc. through the fortune-telling website's API. For example, it performs web crawling and API requests using the Python https library.

[0637] 2. Data Analysis and Summary

[0638] The server analyzes the collected fortune information using Python's pandas library, integrates and summarizes the data from each source, and in the process, uses natural language processing technology to eliminate data duplication and inconsistencies and generate harmonized fortune information.

[0639] 3. Sending fortune information

[0640] The server sends the summarized fortune information in JSON format to the user's device using an HTTP POST request.

[0641] Device behavior

[0642] 4. Operation of the Emotion Engine

[0643] The device is equipped with an emotion engine that analyzes voice, facial expressions, and input data to recognize the user's emotions. This emotion engine utilizes technologies such as Microsoft Azure's Cognitive Services.

[0644] 5. Data Analysis and Customization

[0645] The device analyzes the fortune information received from the server and customizes the fortune information and generated images based on the user's emotions. For example, if the user is feeling stressed, the device generates an image that includes elements that have a relaxing effect.

[0646] 6. Image Generation

[0647] The device launches a generative AI model (e.g., OpenAI's DALL-E) and generates an image by inputting a prompt based on the analyzed fortune information and the user's emotions. An example of a prompt is, "Based on today's fortune, please generate a soothing wallpaper with a blue base that will relieve stress."

[0648] 7. Image provision and wallpaper setting

[0649] The device provides the user with the generated image that brings good fortune, and displays it in a format that can be set as wallpaper on a PC or smartphone. By checking the generated image provided by the device and setting it as wallpaper, users can enjoy the visual of their daily fortune and start their day happily in a way that is in line with their emotions.

[0650] User operations

[0651] Users can check the generated images provided by their device and set them as wallpaper if necessary. This allows them to visually incorporate lucky items based on their daily fortunes while receiving support tailored to their emotions.

[0652] As described above, the system of the present invention integrates fortune-telling information and user emotions to provide a personalized fortune-telling experience. By combining a generative AI model with an emotion engine, it is possible to provide new value to users and support a richer daily life.

[0653] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0654] Step 1:

[0655] Data collection

[0656] The server accesses multiple fortune-telling sources every morning at 6:00 AM using an automatic scheduler to collect fortune-telling information. The input includes the API endpoint URLs of the fortune-telling sources. When these APIs are queried using the Python https library, the returned output is JSON data of the fortune, lucky color, and lucky item for each zodiac sign.

[0657] Step 2:

[0658] Data analysis and summary

[0659] The server parses the collected JSON formatted fortune information and converts it into a data frame using the Python pandas library. It uses the collected fortune information as input and summarizes this data using NLP techniques to eliminate duplicates and inconsistencies and summarize it into harmonized fortune information. As output, a unified data frame of fortune information is generated.

[0660] Step 3:

[0661] Sending fortune information

[0662] The server sends the summarized fortune information to the user's device using an HTTP POST request, with the data being the summarized fortune information in JSON format. The input contains the summarized fortune information, and the output is a response confirming the transmission to the user's device.

[0663] Step 4:

[0664] Emotion Engine Operation

[0665] The device recognizes emotions by analyzing the user's voice, facial expressions, and input data. The emotion engine uses Microsoft Azure's Cognitive Services and inputs include the user's image data and voice input data. The output is information about the user's emotional state (e.g., stress, joy, etc.).

[0666] Step 5:

[0667] Data Analysis and Customization

[0668] The device receives as input fortune information sent from the server and the user's emotional data recognized by the emotion engine. Based on this data, it generates prompts and customizes their content. For example, if the user is feeling stressed, a prompt with soothing content is generated. The customized prompt is generated as output.

[0669] Step 6:

[0670] Image generation

[0671] The device launches a generative AI model, receives a customized prompt as input, and generates an image. Here, a generative AI model (e.g., OpenAI's DALL-E) is used. The customized prompt is used as input, and the URL or binary data of the generated good luck image is obtained as output.

[0672] Step 7:

[0673] Image provided and wallpaper setting

[0674] The device displays the generated image to the user and offers the option to set it as wallpaper. The input contains the URL or binary data of the generated image. The output is the image provided to the user, who can choose whether to set it as wallpaper.

[0675] Step 8:

[0676] Check image and set wallpaper

[0677] The user can check the generated image provided and set it as wallpaper if necessary. The input is the provided image, and the output is the device with the image set as wallpaper.

[0678] (Application example 2)

[0679] 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."

[0680] Conventional fortune-telling services provide fixed fortune-telling information and lucky items, but they are unable to provide information that is appropriately customized to the user's emotions or mood of the day. Furthermore, while image generation is included as a way to visually enjoy fortune-telling results, it is not something that users can use in their daily lives, such as for fitness plans or product suggestions. Therefore, there is a demand for more personalized fortune-telling information and emotional support.

[0681] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for collecting data from multiple fortune-telling information sources, means for analyzing the collected data and summarizing the information, means for generating an image based on the summarized information, means for providing the generated image to the user's terminal, means for recognizing the user's emotion, and means for dynamically customizing the image based on the recognized emotion. This makes it possible to provide fortune information, fitness plans, and product suggestions customized according to the user's emotion.

[0682] "Multiple fortune-telling information sources" refers to information providers that provide multiple different fortune-telling-related data.

[0683] "Means of collecting data" refers to the devices and methods used to obtain the necessary data from fortune-telling information sources using web crawling or APIs.

[0684] "Methods of analyzing collected data and summarizing information" refers to the process of integrating acquired data, removing redundancies and unnecessary parts, and converting them into concise and meaningful information.

[0685] The "means for generating an image based on summarized information" refers to a technique or algorithm for creating a visually meaningful image based on summarized fortune-telling information.

[0686] "Means for providing generated images to a user's device" refers to a system for transmitting and displaying generated image data on a user's digital device such as a smartphone or computer.

[0687] "Means for recognizing user emotions" refers to a system or algorithm that analyzes a user's facial expressions, voice, or input data to determine their emotional state.

[0688] "Means for dynamically customizing images based on recognized emotions" refers to a technique for changing the content and design of an image in a way that corresponds to the user's current emotional state.

[0689] "Lucky images" are images that are intended to visually improve the user's fortunes based on fortune-telling information, lucky colors, and lucky items.

[0690] "A format that can be set as wallpaper on a user's device" means a file format in which the generated image can be set as the standby screen of a digital device such as a smartphone or computer.

[0691] The "navigation means for suggesting fitness plans and products" is a system that guides and recommends appropriate fitness activities and products to users based on their emotional state and fortune information.

[0692] "Generative AI model" refers to algorithms or software for image and document generation using artificial intelligence.

[0693] A "prompt sentence" is an input text that causes a generative AI model to generate output.

[0694] DETAILED DESCRIPTION OF THE INVENTION The following describes an embodiment of the present invention.

[0695] The server first collects data from multiple fortune-telling information sources. Specifically, it uses web crawlers and APIs to obtain data such as fortunes, lucky colors, and lucky items from fortune-telling-related sites and services. This collection process uses common web crawling tools such as Beautiful Soup and Scrapy.

[0696] The server then analyzes the collected data and summarizes the information. Using pandas, a Python data analysis library, it removes duplicate data, consolidates information, and summarizes the daily fortune information concisely. As a result, the fortune information obtained from each fortune-telling source is integrated and harmonized data is generated for delivery to users.

[0697] The server generates an image based on the summarized fortune information. In this process, a generative AI model is used to generate an image that matches the user's fortune, lucky color, and lucky item. OpenAI's GPT-3 and DALL-E are used as generative AI models. The generated image data is then sent to the user's device.

[0698] The device is equipped with an emotion engine that recognizes the user's emotions. The emotion engine uses Microsoft Azure Cognitive Services. The engine analyzes the user's facial expressions and voice data to determine the user's current emotional state.

[0699] Based on the emotional data recognized by the emotion engine, the device dynamically customizes the generated fortune information and images. For example, if the user is feeling stressed, the device will adjust the color and design of the generated image to provide an image with soothing elements that is tailored to the user. This provides visual support that is tailored to the user's emotional state.

[0700] The device also has a function to provide the generated image in a format that can be set as wallpaper on the user's device. With a simple operation, the user can set this image as wallpaper on their smartphone or computer.

[0701] The device also has a navigation function that suggests fitness plans and products based on the user's emotional state and fortune-telling information. Based on the fortune-telling information and emotional data sent from the server, the device guides users to appropriate fitness activities and product sections. This allows users to incorporate fortune-telling information into their real-life action plans.

[0702] Specific examples

[0703] For example, if the user is an Aries and the emotion engine recognizes that the user is feeling "stressed," the server collects data from "Fortune-telling information source A" that reads, "Aries' fortunes today are good for work, and their lucky color is blue," and from "Fortune-telling information source B" that reads, "Aries' fortunes today are rising in love, and their lucky item is a frog." The server analyzes and summarizes this data to generate harmonized fortune information such as, "Aries' fortunes today: good for work and love, their lucky color is blue, and their lucky item is a frog."

[0704] Based on this summary, a generative AI model is used to generate a blue-based frog design with soothing elements, which is then sent to the user's smart glasses or device.

[0705] The device will also suggest relaxation fitness plans based on the user's emotional data, such as the level of stress they are feeling.

[0706] Examples of prompts for generative AI models include:

[0707] The user is an Aries and is feeling stressed. This is a good day for work and love. The lucky color is blue, and the lucky item is a frog. Use this information to generate a fitness plan and an attractive image.

[0708] This improves the user experience by providing personalized fortune-telling and fitness plans that are tailored to the user's emotional state.

[0709] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0710] Step 1: Data collection

[0711] The server collects data from multiple fortune-telling information sources. Specifically, the server uses a web crawling tool (e.g., Beautiful Soup or Scrapy) or an API to obtain data on fortunes, lucky colors, and lucky items from each fortune-telling information source. This allows the server to access each fortune-telling information source, collect data, and store it in a local database.

[0712] Input: Fortune-telling source URL or API key

[0713] Output: Collected raw data (fortune information, lucky color, lucky item)

[0714] Step 2: Data analysis and summary

[0715] The server analyzes the collected data and summarizes the information. Specifically, it uses Python data analysis libraries (e.g., pandas) to remove duplicate data, consolidate information, and remove unnecessary data. Finally, it summarizes the daily fortune information concisely.

[0716] Input: Raw data collected

[0717] Output: Summary of fortune information (fortune items, lucky colors, lucky items)

[0718] Step 3: Send your fortune

[0719] The server sends the summarized fortune information to the user's device using protocols that transmit data in real time over the Internet (e.g., HTTP, WebSocket, etc.).

[0720] Input: Summary fortune information

[0721] Output: Data sent to the user's device

[0722] Step 4: Emotion Recognition

[0723] The device uses Microsoft Azure Cognitive Services to recognize the user's emotions. It collects facial expressions and voice data through the user's camera and microphone, and inputs that data into an emotion engine, which then analyzes the data and determines the user's current emotional state.

[0724] Input: User's facial expression data and voice data

[0725] Output: Perceived emotional state (e.g., stress, happiness, sadness, etc.)

[0726] Step 5: Data Analysis and Customization

[0727] The device integrates and analyzes the recognized emotion data and the fortune information sent from the server. This allows the fortune information to be customized according to the user's emotional state. The data is analyzed using Python libraries (e.g., NumPy, SciPy).

[0728] Input: Recognized emotional state, transmitted fortune information

[0729] Output: Customized fortune information

[0730] Step 6: Image generation

[0731] The device generates images using a generative AI model (e.g., GPT-3, DALL-E) based on the recognized emotional state and customized fortune information, and instructs the generative AI model to generate images using specific prompts.

[0732] Input: customized fortune information, perceived emotional state

[0733] Output: The generated image

[0734] Step 7: Provide images and set wallpaper

[0735] The device provides the generated image to the user and displays it in a format that can be set as wallpaper on the device (e.g., JPEG, PNG), allowing the user to visually check the image and set it as wallpaper.

[0736] Input: Generated image

[0737] Output: Image set as wallpaper

[0738] Step 8: Navigate fitness plans and product recommendations

[0739] The device provides a navigation function that suggests appropriate fitness plans and products based on the user's emotional state and fortune information. The navigation system guides the user to specific fitness areas and product sections.

[0740] Input: Recognized emotional state, customized fortune information

[0741] Output: User's fitness plan and product recommendations navigation

[0742] 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.

[0743] 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.

[0744] 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.

[0745] [Third embodiment]

[0746] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0747] 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.

[0748] 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).

[0749] 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.

[0750] 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.

[0751] 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).

[0752] 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.

[0753] 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.

[0754] 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.

[0755] 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.

[0756] 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.

[0757] 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."

[0758] The present invention relates to a system that provides a new fortune-telling experience using generative AI. This system analyzes and summarizes fortune information collected from multiple fortune-telling sources, and generates and provides images that bring good luck based on the results. Specific embodiments of the present invention are described below.

[0759] Server Operation

[0760] 1. Data Collection

[0761] The server accesses multiple reliable fortune-telling sources based on a schedule every morning to collect fortune-telling information, using web crawling and APIs to obtain information such as today's fortune, lucky colors, lucky items, etc. for each zodiac sign.

[0762] 2. Data Analysis and Summary

[0763] The server analyzes the collected fortune information, integrates and summarizes the data from each source, and unifies overlapping information such as fortune items (e.g., career fortune, love fortune, health fortune), lucky colors, lucky items, etc. to generate harmonized fortune information.

[0764] 3. Sending fortune information

[0765] The server sends the summarized fortune information to the user's device, which serves as the basis for the user to generate good luck images on their device.

[0766] Device behavior

[0767] 4. Data Analysis

[0768] The device receives and analyzes the fortune information sent from the server, and verifies that the received data contains specific suggestions for fortune (lucky colors, lucky items).

[0769] 5. Image Generation

[0770] Based on the analyzed fortune information, the device activates a generative AI model to generate images that bring good fortune, reflecting specific lucky colors and lucky items, with designs that enhance the interactive experience with the user.

[0771] 6. Image provision and wallpaper setting

[0772] The device provides the generated image of good fortune to the user and displays it in a format that can be set as wallpaper on a PC or smartphone. By setting this image as wallpaper, users can start their day happily while visually enjoying their daily fortune.

[0773] User operations

[0774] 7. Check the image and set it as wallpaper

[0775] The user can check the generated image provided by the device and set it as wallpaper if necessary, allowing the user to visually incorporate lucky items based on their daily fortune.

[0776] Specific examples

[0777] For example, if User A is an Aries, the server collects data from "Fortune-telling Information Source A" that says, "Aries' fortunes today are good for work, and their lucky color is blue," and from "Fortune-telling Information Source B" that says, "Aries' fortunes today are good for love, and their lucky item is a frog." These data are analyzed and summarized to generate harmonized fortune information such as, "Aries' fortunes today: good for work and love, their lucky color is blue, and their lucky item is a frog."

[0778] Based on this fortune information sent to the device, the device generates a lucky image with a blue base and a frog design. User A checks this image and selects "Yes," and the smartphone wallpaper is changed to the generated lucky image.

[0779] In this way, the system of the present invention can provide harmonized fortune information from multiple divination sources, providing users with a means to incorporate a visual element of good fortune.

[0780] The processing flow will be explained below.

[0781] Step 1:

[0782] Every morning, the server accesses multiple reliable fortune-telling sources based on a schedule, using web crawling and APIs to send requests to obtain information such as today's horoscope, lucky colors, and lucky items for each zodiac sign.

[0783] Step 2:

[0784] The server receives data collected from each fortune-telling information source. This data contains multiple elements, such as "Today's horoscope for Aries: Good luck in work, lucky color is blue" from "Fortune-telling information source A" and "Today's horoscope for Aries: Good luck in love, lucky item is frog" from "Fortune-telling information source B."

[0785] Step 3:

[0786] The server analyzes the received data and integrates each element of fortune (e.g., career luck, love luck, health luck), lucky color, lucky item, etc. Specifically, it compares and evaluates data from multiple sources and unifies overlapping or different content.

[0787] Step 4:

[0788] The server generates a summary result as unified fortune information: "Today's fortune for Aries: Good luck in work and love. Lucky color is blue. Lucky item is frog."

[0789] Step 5:

[0790] The server then sends the generated summary to the user's device using a communication protocol and data format (e.g., JSON or XML) for remotely connecting to the user's device and transmitting data.

[0791] Step 6:

[0792] The device receives the fortune information sent from the server, analyzes this information within the device, and identifies each element of fortune, lucky color, lucky item, etc.

[0793] Step 7:

[0794] The device activates the generative AI model based on the received information and generates a new image. Specifically, parameters such as "lucky color: blue" and "lucky item: frog" are input into the AI ​​model, and the generated image is obtained.

[0795] Step 8:

[0796] The device displays the generated image to the user and pops up a dialog box asking, "Do you want to set this image as wallpaper?" This allows the user to easily check and set the image.

[0797] Step 9:

[0798] The user checks the generated image and, if necessary, selects whether to set it as wallpaper.

[0799] Step 10:

[0800] If the user selects "Yes," the device calls the wallpaper setting API and sets the generated image as the device's wallpaper.

[0801] These specific steps will enable the server, terminal, and user to work together to provide harmonious fortune-telling information and generate and provide images that bring good fortune.

[0802] Example 1

[0803] 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."

[0804] Conventional fortune-telling systems rely on fortune-telling information from a single source, often resulting in a lack of reliability. Furthermore, there are limited ways for users to visually enjoy fortune-telling results and use them on a daily basis, creating a need for a more engaging fortune-telling experience. Furthermore, the process of individually collecting and analyzing fortune-telling information and providing it in a format tailored to each user is time-consuming, making it challenging to provide an efficient, high-quality service.

[0805] 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.

[0806] In this invention, the server includes means for collecting data from multiple reliable fortune-telling information sources, means for analyzing the collected data, integrating and summarizing the data from each source, and means for transmitting the summarized fortune information to the user's terminal, thereby providing fortune information harmonized from multiple fortune-telling information sources, providing the user with a means for incorporating a visual element of fortune, and realizing a more reliable fortune-telling experience.

[0807] A "reliable fortune-telling information source" is a source that provides fortune-telling data that has been highly accurate and reliable for a long period of time and is supported by many users.

[0808] "Means of collecting data" refers to the function of automatically obtaining the necessary data from fortune-telling information sources on the Internet using web crawling, API access, etc.

[0809] "Data analysis and integration methods" refers to the process of mechanically processing collected data and arranging the information into a single format based on specific rules, including eliminating duplicate information and prioritizing the information.

[0810] "Fortune information" refers to information about individual fortunes provided based on zodiac signs, birthdays, etc. This information includes career luck, love luck, health luck, etc.

[0811] "User's terminal" refers to an information processing device that a user uses on a daily basis, such as a smartphone, PC, or tablet.

[0812] A "generative AI model" is an algorithm that uses artificial intelligence to automatically generate the image a user desires from a given prompt. Typical examples include Stable Diffusion and DALL-E.

[0813] A "prompt sentence" refers to a text-based input sentence that provides specific instructions to a generative AI model and is used to specify the content and characteristics of the image to be generated.

[0814] "Means for generating images" refers to the process of automatically creating images with specific characteristics using a generative AI model based on the user's fortune information.

[0815] "Means for providing an image" refers to a function for displaying or saving the generated image on the user's terminal.

[0816] "A format that can be set as wallpaper" refers to a state in which image data has been converted into a resolution and file format that can be used on the user's device.

[0817] "Lucky images" refer to images that are created based on the user's fortune information and are expected to visually improve a sense of happiness and fortune.

[0818] This invention relates to a system that uses a generative AI model to provide a new fortune-telling experience. This system collects fortune information from multiple reliable fortune-telling sources, analyzes and summarizes it, and then provides the fortune information to the user's device. Based on this data, the user device activates a generative AI model to generate and provide images that bring good fortune.

[0819] Server Operation

[0820] 1. Data Collection

[0821] The server runs a script that runs periodically every morning to collect fortune-telling information from multiple fortune-telling sources using web crawling and API access. Specifically, it uses Python's BeautifulSoup library to scrape data from websites and retrieves data from fortune-telling sources using APIs.

[0822] 2. Data Analysis and Summary

[0823] The server parses the collected data and converts it into a data frame using the Pandas library. It then aggregates and summarizes the data from each fortune-telling source. Duplicate information is filtered out, and a weighted average is taken, taking into account the reliability score, to generate a unique fortune.

[0824] 3. Sending fortune information

[0825] The server converts the summarized fortune information into JSON format and sends it to the user's device via an HTTP POST request to the API endpoint of the client app installed on the user's device.

[0826] Device behavior

[0827] 4. Data Reception and Analysis

[0828] The device receives the JSON formatted fortune information sent from the server, parses it using the client app, and stores it in an internal data structure. The data contents are checked to ensure that the fortune information is included correctly.

[0829] 5. Image Generation

[0830] The device activates a generative AI model based on the analyzed fortune information and generates an image by sending a specific prompt message, such as "Generate an image that includes a blue background and a frog, symbolizing good luck for an Aries based on their horoscope for today."

[0831] The device receives images output from a generative AI model (e.g., Stable Diffusion or DALL-E) and stores them in its internal storage.

[0832] 6. Image provision and wallpaper setting

[0833] The terminal provides the generated image to the user and provides an option to set it as wallpaper. The terminal displays the image through a user interface, allowing the user to select whether to set it as wallpaper.

[0834] When a user selects the wallpaper setting, the device automatically sets the image as wallpaper using the OS API, saving the user time.

[0835] User operations

[0836] 7. Check the image and set it as wallpaper

[0837] The user checks the generated image presented by the device and is prompted with the message, "This image reflects your fortune for the day. Would you like to set it as your wallpaper?"

[0838] The user selects "Yes" or "No." If they select "Yes," the device immediately sets the image as wallpaper. If they select "No," the image is saved and kept within the app for the user to set later.

[0839] Specific examples

[0840] For example, if User A is an Aries, the server collects data from "Fortune-telling Information Source A" that says, "Aries' fortunes today are good for work, and their lucky color is blue," and from "Fortune-telling Information Source B" that says, "Aries' fortunes today are good for love, and their lucky item is a frog." These data are analyzed and summarized to generate harmonized fortune information such as, "Aries' fortunes today: good for work and love, their lucky color is blue, and their lucky item is a frog."

[0841] Based on this fortune information sent to the device, the device sends a prompt to the generation AI model. Specifically, the prompt uses the following: "Generate an image that includes a blue background and a frog, symbolizing good luck for an Aries based on their horoscope for today." The generated image is a good luck image with a blue background and a frog design. When User A confirms the image and selects "Yes," the smartphone wallpaper is changed to the generated good luck image.

[0842] In this way, the system of the present invention can provide harmonized fortune information from multiple divination sources, providing users with a means to incorporate a visual element of good fortune.

[0843] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0844] Step 1: Data collection

[0845] The server runs a Python script periodically at 6:00 AM every morning. The input is the URL or API endpoint of each fortune-telling information source. The script uses BeautifulSoup to crawl the web and collect data such as fortune information for each zodiac sign, lucky colors, lucky items, etc. The collected data is converted to JSON format and stored in a local MySQL database.

[0846] Step 2: Data analysis and summary

[0847] The server retrieves the latest fortunes from the database using an SQL query. The input is raw fortune data. The retrieved data is converted into a data frame using Python's Pandas library. Next, the data from each source is integrated, and duplicate information is filtered to generate unique fortunes. During this process, a weighted average is taken into account, taking into account the reliability score. The output is a data frame of harmonized fortunes.

[0848] Step 3: Send your fortune

[0849] The server converts the generated fortune information into JSON format and sends it to the user's device via an HTTP POST request. The input is a data frame of harmonized fortune information, and the output is the JSON data sent to the user's device. This process requires the user's registration information (star sign, device ID).

[0850] Step 4: Data reception and analysis

[0851] The device receives fortune information in JSON format sent from the server. The input is the JSON data received from the server. The client application parses this data and stores it in an internal data structure. It checks the data content and verifies that the fortune information is correctly included. The output is the parsed fortune information.

[0852] Step 5: Image generation

[0853] The device launches a generative AI model based on the analyzed fortune information. The input is the analyzed fortune information. A specific prompt is sent to the generative AI model. For example, the prompt might be, "Generate an image that includes a blue background and a frog, symbolizing good luck for an Aries based on their horoscope for today." The device receives image data output from the generative AI model (for example, Stable Diffusion or DALL-E) and saves it in internal storage. The output is the generated image data.

[0854] Step 6: Provide images and set wallpaper

[0855] The device displays the generated image through the app's interface to provide it to the user. The input is the generated image data. The user is given the option to set it as wallpaper. If the user selects "Yes," the image is set as wallpaper using the OS API. The output is the image set as wallpaper on the user's device.

[0856] Step 7: Check the image and set it as wallpaper

[0857] The user checks the generated image presented by the device and is prompted with the message, "This image reflects your fortune for the day. Would you like to set it as your wallpaper?" The input is the generated image presented by the device. If the user selects "Yes," the device immediately sets the image as wallpaper. If the user selects "No," the image is saved and retained within the app so that the user can set it later. The output is the image set as wallpaper or the saved image.

[0858] Through the above processing steps, the user can enjoy a fresh and visually appealing fortune-telling experience.

[0859] (Application example 1)

[0860] 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."

[0861] In conventional fortune-telling information systems, the fortune information provided to users is limited to simple text and images, making it difficult to directly influence the user's specific lifestyle and behavior. Furthermore, product recommendations based on fortune information are not commonly made, resulting in a lack of mechanisms to stimulate users' purchasing motivation based on their daily fortunes. Furthermore, there is a need for a means to improve users' purchasing experience by not only visually enjoying fortune-telling information but also receiving product recommendations based on the day's fortune.

[0862] 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.

[0863] In this invention, the server includes means for collecting data from multiple fortune-telling information sources, means for analyzing the collected data and summarizing the information, means for generating images based on the summarized information, means for providing the generated images to the user's terminal, and means for proposing products based on the summarized information and customizing the product images using a generative AI model. This allows users to not only enjoy visual information based on their daily fortunes, but also receive product suggestions customized to match the fortune information, thereby increasing their desire to purchase.

[0864] "Fortune-telling information sources" refer to fortune-telling data provided by multiple reliable fortune-tellers, fortune-telling sites, applications, etc.

[0865] "Means of collecting data" refers to the methods and techniques of web crawling and API calls to obtain fortune-telling information from fortune-telling sources.

[0866] "Means for analyzing data and summarizing information" refers to the technology and systems that integrate collected fortune-telling data and harmonize and summarize information such as fortunes for each zodiac sign, lucky colors, lucky items, etc.

[0867] "Means for generating images" refers to methods and techniques that use a generative AI model based on summarized fortune information to generate images that include visual elements.

[0868] "Means for providing generated images to a user's device" refers to the methods and technologies for transmitting and displaying generated images on a user's device, such as a smartphone or PC.

[0869] "Means for suggesting products and customizing product images using a generative AI model" refers to methods and technologies for selecting recommended products based on summarized fortune information and customizing product images using a generative AI model.

[0870] "Lucky images" refers to visual content that reflects the user's lucky colors, lucky items, etc. based on their fortune information.

[0871] "Means for providing images in a format that can be set as wallpaper on a user's device" refers to methods and technologies for providing generated images in a format that can be easily set as wallpaper on devices such as smartphones and PCs.

[0872] "Fortune information" refers to information on fortunes for each zodiac sign, predicted events, and fortune categories obtained from fortune-telling information sources.

[0873] A "lucky color" refers to a specific color that is said to bring good fortune on that day.

[0874] A "lucky item" refers to a specific object or symbol that is said to bring good fortune for the day.

[0875] The present invention relates to a system that provides a new fortune-telling experience using generative AI. This system analyzes and summarizes fortune information collected from multiple fortune-telling sources, and generates and provides images that bring good luck based on the results. It also has the function of suggesting recommended products based on the user's fortune information and customizing the product images using a generative AI model. Specific embodiments of the present invention are described below.

[0876] Server Operation

[0877] 1. Data Collection

[0878] The server accesses multiple reliable fortune-telling sources based on a schedule every morning to collect fortune-telling information, using web crawling and APIs to obtain information such as today's fortune, lucky colors, lucky items, etc. for each zodiac sign.

[0879] 2. Data Analysis and Summary

[0880] The server analyzes the collected fortune information, integrates and summarizes the data from each source, and unifies overlapping information such as fortune items (e.g., career fortune, love fortune, health fortune), lucky colors, lucky items, etc. to generate harmonized fortune information.

[0881] 3. Sending fortune information

[0882] The server sends the summarized fortune information to the user's device, which serves as the basis for the user to generate good luck images and product images on their device.

[0883] Device behavior

[0884] 4. Data Analysis

[0885] The device receives and analyzes the fortune information sent from the server, and verifies that the received data includes specific suggestions for fortune (lucky colors, lucky items, products).

[0886] 5. Image Generation

[0887] The device then runs a generative AI model (e.g., OpenAI's DALLE-2) based on the analyzed fortune information to generate a lucky image that reflects specific lucky colors and items. The generative AI model also uses the summarized information to recommend products and customize the product images. An example prompt might be, "Create an image featuring a frog in blue."

[0888] 6. Image provision and wallpaper setting

[0889] The device provides the generated good luck image and customized product image to the user and displays them in a format that can be set as wallpaper on a PC or smartphone. By setting this image as wallpaper, the user can visually enjoy their daily fortune and can also view and purchase the presented products.

[0890] User operations

[0891] 7. Check the image and set it as wallpaper

[0892] The user can check the generated image provided by the device and set it as wallpaper if necessary. This allows the user to visually incorporate lucky items based on their daily fortune. The user can also check the suggested products and purchase any that interest them.

[0893] Specific examples

[0894] For example, if User A is an Aries, the server collects data from "Fortune-telling Source A" that reads, "Aries' fortunes today are good for work, and their lucky color is blue," and from "Fortune-telling Source B" that reads, "Aries' fortunes today are on the rise in love, and their lucky item is a frog." This data is analyzed and summarized to generate harmonized fortune information: "Aries' fortunes today: good for work and love, their lucky color is blue, and their lucky item is a frog." Based on this fortune information sent to the device, the device generates a lucky image with a blue base and a frog design. At the same time, the AI ​​model also customizes the image of the recommended product for that day (e.g., merchandise with a blue frog design). User A confirms this image and selects "Yes," which changes the smartphone wallpaper to the generated lucky image and gives the user the option to purchase the presented product.

[0895] In this way, the system of the present invention provides harmonized fortune information from multiple divination sources, provides users with a means to incorporate visual fortune elements, and provides product recommendations based on the fortune of the day.

[0896] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0897] Step 1:

[0898] Data collection

[0899] Input: URL or API endpoint of fortune-telling source

[0900] How it works: Every morning, the server accesses multiple fortune-telling information sources based on a schedule using web crawling techniques and API calls to collect fortune-telling information (today's fortune for each zodiac sign, lucky colors, lucky items, etc.).

[0901] Output: A dataset of collected fortune information

[0902] Step 2:

[0903] Data analysis and summary

[0904] Input: A dataset of collected fortune information

[0905] How it works: The server analyzes the collected data, integrates and summarizes the data from each source, and unifies overlapping information such as fortune items (e.g., career fortune, love fortune, health fortune), lucky colors, lucky items, etc., to generate harmonious fortune information.

[0906] Output: Summary fortune information

[0907] Step 3:

[0908] Sending fortune information

[0909] Input: Summary fortune information

[0910] How it works: The server sends summarized fortune information to the user's device. This information serves as the basis for the user to generate good luck images and product images on their device.

[0911] Output: Fortune information sent to the user's device

[0912] Step 4:

[0913] Data analysis

[0914] Input: Fortune information sent from the server

[0915] Operation: The device analyzes the received fortune information and verifies that it contains specific suggestions (lucky colors, lucky items, products). The analyzed data forms the basis for image generation and product suggestions.

[0916] Output: Detailed fortune data for image generation and product recommendations

[0917] Step 5:

[0918] Image generation

[0919] Input: Detailed fortune data

[0920] How it works: The device launches a generative AI model (e.g., OpenAI's DALLE-2) based on the analyzed fortune information to generate a lucky image that reflects lucky colors and lucky items. It also suggests recommended products based on the summarized information and customizes the product images using the generative AI model. An example prompt is "Create an image featuring a frog in blue."

[0921] Output: Generated lucky images and customized product images

[0922] Step 6:

[0923] Image provided and wallpaper setting

[0924] Input: Generated lucky image and customized product image

[0925] Operation: The device provides the generated image to the user and displays it in a format that can be set as wallpaper on a PC or smartphone. By setting this image as wallpaper, the user can enjoy the visual of their daily fortune and can also browse and purchase the products presented.

[0926] Output: Image displayed on the user's device and wallpaper setting options

[0927] Step 7:

[0928] Check image and set wallpaper

[0929] Input: Generated images and product suggestions provided by the device

[0930] How it works: The user checks the generated image provided by the device and sets it as wallpaper if desired. This allows the user to visually incorporate lucky items based on their daily fortune. The user is also given the option to purchase the suggested items.

[0931] Output: Wallpaper image and purchasable product information

[0932] 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.

[0933] This invention relates to a system that provides a new fortune-telling experience by combining generative AI and an emotion engine. This system analyzes and summarizes fortune information collected from multiple fortune-telling information sources, and generates and provides images that bring good fortune based on the results in response to the user's emotions. Specific embodiments of the invention are described below.

[0934] Server Operation

[0935] 1. Data Collection

[0936] The server accesses multiple reliable fortune-telling sources based on a schedule every morning to collect fortune-telling information, using web crawling and APIs to obtain information such as today's fortune, lucky colors, lucky items, etc. for each zodiac sign.

[0937] 2. Data Analysis and Summary

[0938] The server analyzes the collected fortune information, integrates and summarizes the data from each source, and unifies overlapping information such as fortune items (e.g., career fortune, love fortune, health fortune), lucky colors, lucky items, etc. to generate harmonized fortune information.

[0939] 3. Sending fortune information

[0940] The server sends the summarized fortune information to the user's device, which serves as the basis for the user to generate good luck images on their device.

[0941] Device behavior

[0942] 4. Operation of the Emotion Engine

[0943] The device is equipped with an emotion engine for recognizing the user's emotions by analyzing the user's voice, facial expressions, and input data.

[0944] 5. Data Analysis and Customization

[0945] The device receives and analyzes the fortune information sent from the server, and dynamically adjusts the content of the fortune information display and the content of the generated image based on the user's emotions.

[0946] 6. Image Generation

[0947] The device then activates a generative AI model based on the analyzed fortune information and the user's emotions to generate a new image, which includes colors and designs that reflect the user's emotions.

[0948] 7. Image provision and wallpaper setting

[0949] The device provides the generated image of good fortune to the user and displays it in a format that can be set as wallpaper on a PC or smartphone. By setting this image as wallpaper, users can enjoy the visual of their daily fortune and start their day in a way that is in tune with their emotions.

[0950] User operations

[0951] 8. Check the image and set it as wallpaper

[0952] The user can check the generated image provided by the device and set it as wallpaper if necessary. This allows the user to visually incorporate lucky items based on their daily fortune while receiving support tailored to their individual emotions.

[0953] Specific examples

[0954] For example, if User B is an Aries and the emotion engine recognizes that his current emotion is "feeling stressed," the server collects data from "Fortune-telling Information Source A" that reads, "Aries' fortunes today are good for work, and their lucky color is blue," and from "Fortune-telling Information Source B" that reads, "Aries' fortunes today are good for love, and their lucky item is a frog." These data are analyzed and summarized to generate harmonized fortune information such as, "Aries' fortunes today: good for work and love, their lucky color is blue, and their lucky item is a frog."

[0955] The device uses its emotion engine to obtain information that "the user is feeling stressed," and combines this with the fortune information to generate a lucky image with a blue frog design that incorporates soothing elements. When User B confirms this image and selects "yes," the smartphone wallpaper is changed to the generated soothing lucky image.

[0956] As a result, the system of the present invention provides fortune information harmonized from multiple fortune-telling information sources, and further generates and provides images that bring good fortune customized based on the user's emotions, thereby providing support that is in tune with the user's emotions and helping them start their day off right.

[0957] The processing flow will be explained below.

[0958] Step 1:

[0959] Every morning, the server accesses multiple reliable fortune-telling sources based on a schedule, using web crawling and APIs to send requests to obtain information such as today's horoscope, lucky colors, and lucky items for each zodiac sign.

[0960] Step 2:

[0961] The server receives data collected from each fortune-telling information source. This data contains multiple elements, such as "Today's horoscope for Aries: Good luck in work, lucky color is blue" from "Fortune-telling information source A" and "Today's horoscope for Aries: Good luck in love, lucky item is frog" from "Fortune-telling information source B."

[0962] Step 3:

[0963] The server analyzes the received data and integrates each element of fortune (e.g., career luck, love luck, health luck), lucky color, lucky item, etc. Specifically, it compares and evaluates data from multiple sources and unifies overlapping or different content.

[0964] Step 4:

[0965] The server generates a summary result as unified fortune information: "Today's fortune for Aries: Good luck in work and love. Lucky color is blue. Lucky item is frog."

[0966] Step 5:

[0967] The server then sends the generated summary to the user's device using a communication protocol and data format (e.g., JSON or XML) for remotely connecting to the user's device and transmitting data.

[0968] Step 6:

[0969] The device receives the fortune information sent from the server, analyzes this information within the device, and identifies each element of fortune, lucky color, lucky item, etc.

[0970] Step 7:

[0971] The device activates an emotion engine to recognize the user's emotions. The emotion engine analyzes the user's voice, facial expressions, and input data in real time to identify the user's current emotional state. For example, it may use a camera or microphone to analyze the user's facial expressions and voice to determine that they are "feeling stressed."

[0972] Step 8:

[0973] The device integrates the analyzed fortune information with the recognized emotional data. Specifically, if the user is feeling stressed, it will select colors and designs that have a soothing effect.

[0974] Step 9:

[0975] The device activates the generative AI model and generates a new image based on the integrated fortune information and emotional data. For example, input parameters such as "lucky color: blue," "lucky item: frog," and "current emotion: feeling stressed" into the AI ​​model and obtain the generated image.

[0976] Step 10:

[0977] The device displays the generated image to the user and pops up a dialog box asking, "Do you want to set this image as wallpaper?" This allows the user to easily check and set the image.

[0978] Step 11:

[0979] The user checks the generated image and, if necessary, selects whether to set it as wallpaper.

[0980] Step 12:

[0981] If the user selects "Yes," the device calls the wallpaper setting API and sets the generated image as the device's wallpaper.

[0982] These processing steps enable the server, terminal, and user to work together to provide harmonious fortune information and generate and provide images that bring good fortune and are customized based on the user's emotions.

[0983] Example 2

[0984] 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."

[0985] Conventional fortune-telling systems simply provide information such as fortunes, lucky colors, lucky items, etc., and are unable to provide a more personalized experience that reflects the user's emotions. In addition, the means for visually expressing the generated information are limited, making it difficult for users to find new value in their everyday fortune-telling experience.

[0986] 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 collecting data from multiple fortune-telling information sources, means for analyzing the collected data and summarizing the information, means for recognizing the user's emotions, means for generating a prompt sentence based on the summarized information and the recognized emotion, means for generating an image using a generative AI model based on the generated prompt sentence, and means for providing the generated image to the user's terminal. This makes it possible to generate an image that brings good fortune in line with the user's emotions and provide a more personalized fortune-telling experience.

[0987] "Fortune Telling Sources" are external data sources used to provide fortune telling information, including, for example, fortune telling websites and APIs.

[0988] "Means of collecting data" means the technical means used to obtain the required fortune information, lucky colors, and lucky items from external fortune-telling sources, including web crawling and API requests.

[0989] "Means of analyzing data and summarizing information" means the technological means used to unify collected data, eliminate redundancies and inconsistencies, and convert it into a meaningful form, including natural language processing and data mining techniques.

[0990] "Means for recognizing a user's emotions" refers to technical means used to identify a user's emotions by analyzing the user's voice, facial expression, input data, etc., and includes voice recognition and facial recognition technology.

[0991] "Means for generating prompt text" means technical means for creating text to input into a generative AI model based on the summarized information and the recognized sentiment.

[0992] "Means for generating images using a generative AI model" refers to AI technology that receives generated prompt text as input and uses it to create images based on the content of the generated prompt text, including, for example, generative adversarial networks and AI tools dedicated to image generation.

[0993] "Means for providing images to the user's device" means the technical means used to transfer the generated images to the user's device and provide the ability to display, save or set them as wallpaper.

[0994] This invention is a system that provides a new fortune-telling experience by combining generative AI and an emotion engine. This system analyzes and summarizes fortune information collected from multiple fortune-telling information sources, and generates and provides images that bring good fortune based on the results in response to the user's emotions. Specific embodiments are described below.

[0995] Server Operation

[0996] 1. Data Collection

[0997] The server uses an automatic scheduler to collect fortune-telling information from multiple reliable fortune-telling sources at a fixed time every morning. Specifically, it obtains information such as fortunes for each zodiac sign, lucky colors, lucky items, etc. through the fortune-telling website's API. For example, it performs web crawling and API requests using the Python https library.

[0998] 2. Data Analysis and Summary

[0999] The server analyzes the collected fortune information using Python's pandas library, integrates and summarizes the data from each source, and in the process, uses natural language processing technology to eliminate data duplication and inconsistencies and generate harmonized fortune information.

[1000] 3. Sending fortune information

[1001] The server sends the summarized fortune information in JSON format to the user's device using an HTTP POST request.

[1002] Device behavior

[1003] 4. Operation of the Emotion Engine

[1004] The device is equipped with an emotion engine that analyzes voice, facial expressions, and input data to recognize the user's emotions. This emotion engine utilizes technologies such as Microsoft Azure's Cognitive Services.

[1005] 5. Data Analysis and Customization

[1006] The device analyzes the fortune information received from the server and customizes the fortune information and generated images based on the user's emotions. For example, if the user is feeling stressed, the device generates an image that includes elements that have a relaxing effect.

[1007] 6. Image Generation

[1008] The device launches a generative AI model (e.g., OpenAI's DALL-E) and generates an image by inputting a prompt based on the analyzed fortune information and the user's emotions. An example of a prompt is, "Based on today's fortune, please generate a soothing wallpaper with a blue base that will relieve stress."

[1009] 7. Image provision and wallpaper setting

[1010] The device provides the user with the generated image that brings good fortune, and displays it in a format that can be set as wallpaper on a PC or smartphone. By checking the generated image provided by the device and setting it as wallpaper, users can enjoy the visual of their daily fortune and start their day happily in a way that is in line with their emotions.

[1011] User operations

[1012] Users can check the generated images provided by their device and set them as wallpaper if necessary. This allows them to visually incorporate lucky items based on their daily fortunes while receiving support tailored to their emotions.

[1013] As described above, the system of the present invention integrates fortune-telling information and the user's emotions to provide a personalized fortune-telling experience. By combining a generative AI model and an emotion engine, it is possible to provide new value to users and support a richer daily life.

[1014] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1015] Step 1:

[1016] Data collection

[1017] The server accesses multiple fortune-telling sources every morning at 6:00 AM using an automatic scheduler to collect fortune-telling information. The input includes the API endpoint URLs of the fortune-telling sources. When these APIs are queried using the Python https library, the returned output is JSON data of the fortune, lucky color, and lucky item for each zodiac sign.

[1018] Step 2:

[1019] Data analysis and summary

[1020] The server parses the collected JSON formatted fortune information and converts it into a data frame using the Python pandas library. It uses the collected fortune information as input and summarizes this data using NLP techniques to eliminate duplicates and inconsistencies and summarize it into harmonized fortune information. As output, a unified data frame of fortune information is generated.

[1021] Step 3:

[1022] Sending fortune information

[1023] The server sends the summarized fortune information to the user's device using an HTTP POST request, with the data being the summarized fortune information in JSON format. The input contains the summarized fortune information, and the output is a response confirming the transmission to the user's device.

[1024] Step 4:

[1025] Emotion Engine Operation

[1026] The device recognizes emotions by analyzing the user's voice, facial expressions, and input data. The emotion engine uses Microsoft Azure's Cognitive Services and inputs include the user's image data and voice input data. The output is information about the user's emotional state (e.g., stress, joy, etc.).

[1027] Step 5:

[1028] Data Analysis and Customization

[1029] The device receives as input fortune information sent from the server and the user's emotional data recognized by the emotion engine. Based on this data, it generates prompts and customizes their content. For example, if the user is feeling stressed, a prompt with soothing content is generated. The customized prompt is generated as output.

[1030] Step 6:

[1031] Image generation

[1032] The device launches a generative AI model, receives a customized prompt as input, and generates an image. Here, a generative AI model (e.g., OpenAI's DALL-E) is used. The customized prompt is used as input, and the URL or binary data of the generated good luck image is obtained as output.

[1033] Step 7:

[1034] Image provided and wallpaper setting

[1035] The device displays the generated image to the user and offers the option to set it as wallpaper. The input contains the URL or binary data of the generated image. The output is the image provided to the user, who can choose whether to set it as wallpaper.

[1036] Step 8:

[1037] Check image and set wallpaper

[1038] The user can check the generated image provided and set it as wallpaper if necessary. The input is the provided image, and the output is the device with the image set as wallpaper.

[1039] (Application example 2)

[1040] 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."

[1041] Conventional fortune-telling services provide fixed fortune-telling information and lucky items, but they are unable to provide information that is appropriately customized to the user's emotions or mood of the day. Furthermore, while image generation is included as a way to visually enjoy fortune-telling results, it is not something that users can use in their daily lives, such as for fitness plans or product suggestions. Therefore, there is a demand for more personalized fortune-telling information and emotional support.

[1042] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for collecting data from multiple fortune-telling information sources, means for analyzing the collected data and summarizing the information, means for generating an image based on the summarized information, means for providing the generated image to the user's terminal, means for recognizing the user's emotion, and means for dynamically customizing the image based on the recognized emotion. This makes it possible to provide fortune information, fitness plans, and product suggestions customized according to the user's emotion.

[1043] "Multiple fortune-telling information sources" refers to information providers that provide multiple different fortune-telling-related data.

[1044] "Means of collecting data" refers to the devices and methods used to obtain the necessary data from fortune-telling information sources using web crawling or APIs.

[1045] "Methods of analyzing collected data and summarizing information" refers to the process of integrating acquired data, removing redundancies and unnecessary parts, and converting them into concise and meaningful information.

[1046] The "means for generating an image based on summarized information" refers to a technique or algorithm for creating a visually meaningful image based on summarized fortune-telling information.

[1047] "Means for providing generated images to a user's device" refers to a system for transmitting and displaying generated image data on a user's digital device such as a smartphone or computer.

[1048] "Means for recognizing user emotions" refers to a system or algorithm that analyzes a user's facial expressions, voice, or input data to determine their emotional state.

[1049] "Means for dynamically customizing images based on recognized emotions" refers to a technique for changing the content and design of an image in a way that corresponds to the user's current emotional state.

[1050] "Lucky images" are images that are intended to visually improve the user's fortunes based on fortune-telling information, lucky colors, and lucky items.

[1051] "A format that can be set as wallpaper on a user's device" means that the generated image is in a file format that can be set as the standby screen of a digital device such as a smartphone or computer.

[1052] The "navigation means for suggesting fitness plans and products" is a system that guides and recommends appropriate fitness activities and products to users based on their emotional state and fortune information.

[1053] "Generative AI model" refers to algorithms or software for image and document generation using artificial intelligence.

[1054] A "prompt sentence" is input text that causes a generative AI model to generate output.

[1055] DETAILED DESCRIPTION OF THE INVENTION The following describes an embodiment of the present invention.

[1056] The server first collects data from multiple fortune-telling information sources. Specifically, it uses web crawlers and APIs to obtain data such as fortunes, lucky colors, and lucky items from fortune-telling-related sites and services. This collection process uses common web crawling tools such as Beautiful Soup and Scrapy.

[1057] The server then analyzes the collected data and summarizes the information. Using pandas, a Python data analysis library, it removes duplicate data, consolidates information, and summarizes the daily fortune information concisely. As a result, the fortune information obtained from each fortune-telling source is integrated and harmonized data is generated for delivery to users.

[1058] The server generates an image based on the summarized fortune information. In this process, a generative AI model is used to generate an image that matches the user's fortune, lucky color, and lucky item. OpenAI's GPT-3 and DALL-E are used as generative AI models. The generated image data is then sent to the user's device.

[1059] The device is equipped with an emotion engine that recognizes the user's emotions. The emotion engine uses Microsoft Azure Cognitive Services. This engine analyzes the user's facial expressions and voice data to determine the user's current emotional state.

[1060] Based on the emotional data recognized by the emotion engine, the device dynamically customizes the generated fortune information and images. For example, if the user is feeling stressed, the device will adjust the color and design of the generated image to provide an image with soothing elements that is tailored to the user. This provides visual support that is tailored to the user's emotional state.

[1061] The device also has a function to provide the generated image in a format that can be set as wallpaper on the user's device. With a simple operation, the user can set this image as wallpaper on their smartphone or computer.

[1062] The device also has a navigation function that suggests fitness plans and products based on the user's emotional state and fortune-telling information. Based on the fortune-telling information and emotional data sent from the server, the device guides users to appropriate fitness activities and product sections. This allows users to incorporate fortune-telling information into their real-life action plans.

[1063] Specific examples

[1064] For example, if the user is an Aries and the emotion engine recognizes that the user is feeling "stressed," the server collects data from "Fortune-telling information source A" that reads, "Aries' fortunes today are good for work, and their lucky color is blue," and from "Fortune-telling information source B" that reads, "Aries' fortunes today are rising in love, and their lucky item is a frog." The server analyzes and summarizes this data to generate harmonized fortune information such as, "Aries' fortunes today: good for work and love, their lucky color is blue, and their lucky item is a frog."

[1065] Based on this summary, a generative AI model is used to generate a blue-based frog design with soothing elements, which is then sent to the user's smart glasses or device.

[1066] The device will also suggest relaxation fitness plans based on the user's emotional data, such as the level of stress they are feeling.

[1067] Examples of prompts for generative AI models include:

[1068] The user is an Aries and is feeling stressed. This is a good day for work and love. The lucky color is blue, and the lucky item is a frog. Use this information to generate a fitness plan and an attractive image.

[1069] This improves the user experience by providing personalized fortune-telling and fitness plans that are tailored to the user's emotional state.

[1070] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1071] Step 1: Data collection

[1072] The server collects data from multiple fortune-telling information sources. Specifically, the server uses a web crawling tool (e.g., Beautiful Soup or Scrapy) or an API to obtain data on fortunes, lucky colors, and lucky items from each fortune-telling information source. This allows the server to access each fortune-telling information source, collect data, and store it in a local database.

[1073] Input: Fortune-telling source URL or API key

[1074] Output: Collected raw data (fortune information, lucky color, lucky item)

[1075] Step 2: Data analysis and summary

[1076] The server analyzes the collected data and summarizes the information. Specifically, it uses Python data analysis libraries (e.g., pandas) to remove duplicate data, consolidate information, and remove unnecessary data. Finally, it summarizes the daily fortune information concisely.

[1077] Input: Raw data collected

[1078] Output: Summary of fortune information (fortune items, lucky colors, lucky items)

[1079] Step 3: Send your fortune

[1080] The server sends the summarized fortune information to the user's device using protocols that transmit data in real time over the Internet (e.g., HTTP, WebSocket, etc.).

[1081] Input: Summary fortune information

[1082] Output: Data sent to the user's device

[1083] Step 4: Emotion Recognition

[1084] The device uses Microsoft Azure Cognitive Services to recognize the user's emotions. It collects facial expressions and voice data through the user's camera and microphone, and inputs that data into an emotion engine, which then analyzes the data and determines the user's current emotional state.

[1085] Input: User's facial expression data and voice data

[1086] Output: Perceived emotional state (e.g., stress, happiness, sadness, etc.)

[1087] Step 5: Data Analysis and Customization

[1088] The device integrates and analyzes the recognized emotion data and the fortune information sent from the server, allowing the fortune information to be customized according to the user's emotional state. The data is analyzed using Python libraries (e.g., NumPy, SciPy).

[1089] Input: Recognized emotional state, transmitted fortune information

[1090] Output: Customized fortune information

[1091] Step 6: Image generation

[1092] The device generates images using a generative AI model (e.g., GPT-3, DALL-E) based on the recognized emotional state and customized fortune information, and instructs the generative AI model to generate images using specific prompts.

[1093] Input: customized fortune information, perceived emotional state

[1094] Output: The generated image

[1095] Step 7: Provide images and set wallpaper

[1096] The device provides the generated image to the user and displays it in a format that can be set as wallpaper on the device (e.g., JPEG, PNG), allowing the user to visually check the image and set it as wallpaper.

[1097] Input: Generated image

[1098] Output: Image set as wallpaper

[1099] Step 8: Navigate fitness plans and product recommendations

[1100] The device provides a navigation function that suggests appropriate fitness plans and products based on the user's emotional state and fortune information. The navigation system guides the user to specific fitness areas and product sections.

[1101] Input: Recognized emotional state, customized fortune information

[1102] Output: User's fitness plan and product recommendations navigation

[1103] 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.

[1104] 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.

[1105] 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.

[1106] [Fourth embodiment]

[1107] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1108] 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.

[1109] 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).

[1110] 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.

[1111] 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.

[1112] 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).

[1113] 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.

[1114] 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.

[1115] 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.

[1116] 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.

[1117] 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.

[1118] 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.

[1119] 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."

[1120] The present invention relates to a system that provides a new fortune-telling experience using generative AI. This system analyzes and summarizes fortune information collected from multiple fortune-telling sources, and generates and provides images that bring good luck based on the results. Specific embodiments of the present invention are described below.

[1121] Server Operation

[1122] 1. Data Collection

[1123] The server accesses multiple reliable fortune-telling sources based on a schedule every morning to collect fortune-telling information, using web crawling and APIs to obtain information such as today's fortune, lucky colors, lucky items, etc. for each zodiac sign.

[1124] 2. Data Analysis and Summary

[1125] The server analyzes the collected fortune information, integrates and summarizes the data from each source, and unifies overlapping information such as fortune items (e.g., career fortune, love fortune, health fortune), lucky colors, lucky items, etc. to generate harmonized fortune information.

[1126] 3. Sending fortune information

[1127] The server sends the summarized fortune information to the user's device, which serves as the basis for the user to generate good luck images on their device.

[1128] Device behavior

[1129] 4. Data Analysis

[1130] The device receives and analyzes the fortune information sent from the server, and verifies that the received data includes specific suggestions for fortune (lucky colors, lucky items).

[1131] 5. Image Generation

[1132] Based on the analyzed fortune information, the device activates a generative AI model to generate images that bring good fortune, reflecting specific lucky colors and lucky items, with designs that enhance the interactive experience with the user.

[1133] 6. Image provision and wallpaper setting

[1134] The device provides the generated image of good fortune to the user and displays it in a format that can be set as wallpaper on a PC or smartphone. By setting this image as wallpaper, users can start their day happily while visually enjoying their daily fortune.

[1135] User operations

[1136] 7. Check the image and set it as wallpaper

[1137] The user can check the generated image provided by the device and set it as wallpaper if necessary, allowing the user to visually incorporate lucky items based on their daily fortune.

[1138] Specific examples

[1139] For example, if User A is an Aries, the server collects data from "Fortune-telling Information Source A" that says, "Aries' fortunes today are good for work, and their lucky color is blue," and from "Fortune-telling Information Source B" that says, "Aries' fortunes today are good for love, and their lucky item is a frog." These data are analyzed and summarized to generate harmonized fortune information such as, "Aries' fortunes today: good for work and love, their lucky color is blue, and their lucky item is a frog."

[1140] Based on this fortune information sent to the device, the device generates a lucky image with a blue base and a frog design. User A checks this image and selects "Yes," and the smartphone wallpaper is changed to the generated lucky image.

[1141] In this way, the system of the present invention can provide harmonized fortune information from multiple divination sources, providing users with a means to incorporate a visual element of good fortune.

[1142] The processing flow will be explained below.

[1143] Step 1:

[1144] Every morning, the server accesses multiple reliable fortune-telling sources based on a schedule, using web crawling and APIs to send requests to obtain information such as today's horoscope, lucky colors, and lucky items for each zodiac sign.

[1145] Step 2:

[1146] The server receives data collected from each fortune-telling information source. This data contains multiple elements, such as "Today's horoscope for Aries: Good luck in work, lucky color is blue" from "Fortune-telling information source A" and "Today's horoscope for Aries: Good luck in love, lucky item is frog" from "Fortune-telling information source B."

[1147] Step 3:

[1148] The server analyzes the received data and integrates each element of fortune (e.g., career luck, love luck, health luck), lucky color, lucky item, etc. Specifically, it compares and evaluates data from multiple sources and unifies overlapping or different content.

[1149] Step 4:

[1150] The server generates a summary result as unified fortune information: "Today's fortune for Aries: Good luck in work and love. Lucky color is blue. Lucky item is frog."

[1151] Step 5:

[1152] The server then sends the generated summary to the user's device using a communication protocol and data format (e.g., JSON or XML) for remotely connecting to the user's device and transmitting data.

[1153] Step 6:

[1154] The device receives the fortune information sent from the server, analyzes this information within the device, and identifies each element of fortune, lucky color, lucky item, etc.

[1155] Step 7:

[1156] The device activates the generative AI model based on the received information and generates a new image. Specifically, parameters such as "lucky color: blue" and "lucky item: frog" are input into the AI ​​model, and the generated image is obtained.

[1157] Step 8:

[1158] The device displays the generated image to the user and pops up a dialog box asking, "Do you want to set this image as wallpaper?" This allows the user to easily check and set the image.

[1159] Step 9:

[1160] The user checks the generated image and, if necessary, selects whether to set it as wallpaper.

[1161] Step 10:

[1162] If the user selects "Yes," the device calls the wallpaper setting API and sets the generated image as the device's wallpaper.

[1163] These specific steps will enable the server, terminal, and user to work together to provide harmonious fortune-telling information and generate and provide images that bring good fortune.

[1164] Example 1

[1165] 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."

[1166] Conventional fortune-telling systems rely on fortune-telling information from a single source, often resulting in a lack of reliability. Furthermore, there are limited ways for users to visually enjoy fortune-telling results and use them on a daily basis, creating a need for a more engaging fortune-telling experience. Furthermore, the process of individually collecting and analyzing fortune-telling information and providing it in a format tailored to each user is time-consuming, making it challenging to provide an efficient, high-quality service.

[1167] 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.

[1168] In this invention, the server includes means for collecting data from multiple reliable fortune-telling information sources, means for analyzing the collected data, integrating and summarizing the data from each source, and means for transmitting the summarized fortune information to the user's terminal, thereby providing fortune information harmonized from multiple fortune-telling information sources, providing the user with a means for incorporating a visual element of fortune, and realizing a more reliable fortune-telling experience.

[1169] A "reliable fortune-telling information source" is a source that provides fortune-telling data that has been highly accurate and reliable for a long period of time and is supported by many users.

[1170] "Means of collecting data" refers to the function of automatically obtaining the necessary data from fortune-telling information sources on the Internet using web crawling, API access, etc.

[1171] "Data analysis and integration methods" refers to the process of mechanically processing collected data and arranging the information into a single format based on specific rules, including eliminating duplicate information and prioritizing the information.

[1172] "Fortune information" refers to information about individual fortunes provided based on zodiac signs, birthdays, etc. This information includes career luck, love luck, health luck, etc.

[1173] "User's terminal" refers to an information processing device that a user uses on a daily basis, such as a smartphone, PC, or tablet.

[1174] A "generative AI model" is an algorithm that uses artificial intelligence to automatically generate the image a user desires from a given prompt. Typical examples include Stable Diffusion and DALL-E.

[1175] A "prompt sentence" refers to a text-based input sentence that provides specific instructions to a generative AI model and is used to specify the content and characteristics of the image to be generated.

[1176] "Means for generating images" refers to the process of automatically creating images with specific characteristics using a generative AI model based on the user's fortune information.

[1177] "Means for providing an image" refers to a function for displaying or saving the generated image on the user's terminal.

[1178] "A format that can be set as wallpaper" refers to a state in which image data has been converted into a resolution and file format that can be used on the user's device.

[1179] "Lucky images" refer to images that are created based on the user's fortune information and are expected to visually improve a sense of happiness and fortune.

[1180] This invention relates to a system that uses a generative AI model to provide a new fortune-telling experience. This system collects fortune information from multiple reliable fortune-telling sources, analyzes and summarizes it, and then provides the fortune information to the user's device. Based on this data, the user device activates a generative AI model to generate and provide images that bring good fortune.

[1181] Server Operation

[1182] 1. Data Collection

[1183] The server runs a script that runs periodically every morning to collect fortune-telling information from multiple fortune-telling sources using web crawling and API access. Specifically, it uses Python's BeautifulSoup library to scrape data from websites and retrieves data from fortune-telling sources using APIs.

[1184] 2. Data Analysis and Summary

[1185] The server parses the collected data and converts it into a data frame using the Pandas library. It then aggregates and summarizes the data from each fortune-telling source. Duplicate information is filtered out, and a weighted average is taken, taking into account the reliability score, to generate a unique fortune.

[1186] 3. Sending fortune information

[1187] The server converts the summarized fortune information into JSON format and sends it to the user's device via an HTTP POST request to the API endpoint of the client app installed on the user's device.

[1188] Device behavior

[1189] 4. Data Reception and Analysis

[1190] The device receives the JSON formatted fortune information sent from the server, parses it using the client app, and stores it in an internal data structure. The data contents are checked to ensure that the fortune information is included correctly.

[1191] 5. Image Generation

[1192] The device activates a generative AI model based on the analyzed fortune information and generates an image by sending a specific prompt message, such as "Generate an image that includes a blue background and a frog, symbolizing good luck for an Aries based on their horoscope for today."

[1193] The device receives images output from a generative AI model (e.g., Stable Diffusion or DALL-E) and stores them in its internal storage.

[1194] 6. Image provision and wallpaper setting

[1195] The terminal provides the generated image to the user and provides an option to set it as wallpaper. The terminal displays the image through a user interface, allowing the user to select whether to set it as wallpaper.

[1196] When a user selects the wallpaper setting, the device automatically sets the image as wallpaper using the OS API, saving the user time.

[1197] User operations

[1198] 7. Check the image and set it as wallpaper

[1199] The user checks the generated image presented by the device and is prompted with the message, "This image reflects your fortune for the day. Would you like to set it as your wallpaper?"

[1200] The user selects "Yes" or "No." If they select "Yes," the device immediately sets the image as wallpaper. If they select "No," the image is saved and kept within the app for the user to set later.

[1201] Specific examples

[1202] For example, if User A is an Aries, the server collects data from "Fortune-telling Information Source A" that says, "Aries' fortunes today are good for work, and their lucky color is blue," and from "Fortune-telling Information Source B" that says, "Aries' fortunes today are good for love, and their lucky item is a frog." These data are analyzed and summarized to generate harmonized fortune information such as, "Aries' fortunes today: good for work and love, their lucky color is blue, and their lucky item is a frog."

[1203] Based on this fortune information sent to the device, the device sends a prompt to the generation AI model. Specifically, the prompt uses the following: "Generate an image that includes a blue background and a frog, symbolizing good luck for an Aries based on their horoscope for today." The generated image is a good luck image with a blue background and a frog design. When User A confirms the image and selects "Yes," the smartphone wallpaper is changed to the generated good luck image.

[1204] In this way, the system of the present invention can provide harmonized fortune information from multiple divination sources, providing users with a means to incorporate a visual element of good fortune.

[1205] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1206] Step 1: Data collection

[1207] The server runs a Python script periodically at 6:00 AM every morning. The input is the URL or API endpoint of each fortune-telling information source. The script uses BeautifulSoup to crawl the web and collect data such as fortune information for each zodiac sign, lucky colors, lucky items, etc. The collected data is converted to JSON format and stored in a local MySQL database.

[1208] Step 2: Data analysis and summary

[1209] The server retrieves the latest fortunes from the database using an SQL query. The input is raw fortune data. The retrieved data is converted into a data frame using Python's Pandas library. Next, the data from each source is integrated, and duplicate information is filtered to generate unique fortunes. During this process, a weighted average is taken into account, taking into account the reliability score. The output is a data frame of harmonized fortunes.

[1210] Step 3: Send your fortune

[1211] The server converts the generated fortune information into JSON format and sends it to the user's device via an HTTP POST request. The input is a data frame of harmonized fortune information, and the output is the JSON data sent to the user's device. This process requires the user's registration information (zodiac sign, device ID).

[1212] Step 4: Data reception and analysis

[1213] The device receives fortune information in JSON format sent from the server. The input is the JSON data received from the server. The client application parses this data and stores it in an internal data structure. It checks the data content and verifies that the fortune information is correctly included. The output is the parsed fortune information.

[1214] Step 5: Image generation

[1215] The device launches a generative AI model based on the analyzed fortune information. The input is the analyzed fortune information. A specific prompt is sent to the generative AI model. For example, the prompt might be, "Generate an image that includes a blue background and a frog, symbolizing good luck for an Aries based on their horoscope for today." The device receives image data output from the generative AI model (for example, Stable Diffusion or DALL-E) and saves it in internal storage. The output is the generated image data.

[1216] Step 6: Provide images and set wallpaper

[1217] The device displays the generated image through the app's interface to provide it to the user. The input is the generated image data. The user is given the option to set it as wallpaper. If the user selects "Yes," the image is set as wallpaper using the OS API. The output is the image set as wallpaper on the user's device.

[1218] Step 7: Check the image and set it as wallpaper

[1219] The user checks the generated image presented by the device and is prompted with the message, "This image reflects your fortune for the day. Would you like to set it as your wallpaper?" The input is the generated image presented by the device. If the user selects "Yes," the device immediately sets the image as wallpaper. If the user selects "No," the image is saved and retained within the app so that the user can set it later. The output is the image set as wallpaper or the saved image.

[1220] Through the above processing steps, the user can enjoy a fresh and visually appealing fortune-telling experience.

[1221] (Application example 1)

[1222] 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."

[1223] In conventional fortune-telling information systems, the fortune information provided to users is limited to simple text and images, making it difficult to directly influence the user's specific lifestyle and behavior. Furthermore, product recommendations based on fortune information are not commonly made, resulting in a lack of mechanisms to stimulate users' purchasing motivation based on their daily fortunes. Furthermore, there is a need for a means to improve users' purchasing experience by not only visually enjoying fortune-telling information but also receiving product recommendations based on the day's fortune.

[1224] 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.

[1225] In this invention, the server includes means for collecting data from multiple fortune-telling information sources, means for analyzing the collected data and summarizing the information, means for generating images based on the summarized information, means for providing the generated images to the user's terminal, and means for proposing products based on the summarized information and customizing the product images using a generative AI model. This allows users to not only enjoy visual information based on their daily fortunes, but also receive product suggestions customized to match the fortune information, thereby increasing their desire to purchase.

[1226] "Fortune-telling information sources" refer to fortune-telling data provided by multiple reliable fortune-tellers, fortune-telling sites, applications, etc.

[1227] "Means of collecting data" refers to the methods and techniques of web crawling and API calls to obtain fortune-telling information from fortune-telling sources.

[1228] "Means for analyzing data and summarizing information" refers to the technology and systems that integrate collected fortune-telling data and harmonize and summarize information such as fortunes for each zodiac sign, lucky colors, lucky items, etc.

[1229] "Means for generating images" refers to methods and techniques that use a generative AI model based on summarized fortune information to generate images that include visual elements.

[1230] "Means for providing generated images to a user's device" refers to the methods and technologies for transmitting and displaying generated images on a user's device, such as a smartphone or PC.

[1231] "Means for suggesting products and customizing product images using a generative AI model" refers to methods and technologies for selecting recommended products based on summarized fortune information and customizing product images using a generative AI model.

[1232] "Lucky images" refers to visual content that reflects the user's lucky colors, lucky items, etc. based on their fortune information.

[1233] "Means for providing images in a format that can be set as wallpaper on a user's device" refers to methods and technologies for providing generated images in a format that can be easily set as wallpaper on devices such as smartphones and PCs.

[1234] "Fortune information" refers to information on fortunes for each zodiac sign, predicted events, and fortune categories obtained from fortune-telling information sources.

[1235] A "lucky color" refers to a specific color that is said to bring good fortune on that day.

[1236] A "lucky item" refers to a specific object or symbol that is said to bring good fortune for the day.

[1237] The present invention relates to a system that provides a new fortune-telling experience using generative AI. This system analyzes and summarizes fortune information collected from multiple fortune-telling sources, and generates and provides images that bring good luck based on the results. It also has the function of suggesting recommended products based on the user's fortune information and customizing the product images using a generative AI model. Specific embodiments of the present invention are described below.

[1238] Server Operation

[1239] 1. Data Collection

[1240] The server accesses multiple reliable fortune-telling sources based on a schedule every morning to collect fortune-telling information, using web crawling and APIs to obtain information such as today's fortune, lucky colors, lucky items, etc. for each zodiac sign.

[1241] 2. Data Analysis and Summary

[1242] The server analyzes the collected fortune information, integrates and summarizes the data from each source, and unifies overlapping information such as fortune items (e.g., career fortune, love fortune, health fortune), lucky colors, lucky items, etc. to generate harmonized fortune information.

[1243] 3. Sending fortune information

[1244] The server sends the summarized fortune information to the user's device, which serves as the basis for the user to generate good luck images and product images on their device.

[1245] Device behavior

[1246] 4. Data Analysis

[1247] The device receives and analyzes the fortune information sent from the server, and verifies that the received data includes specific suggestions for fortune (lucky colors, lucky items, products).

[1248] 5. Image Generation

[1249] The device then runs a generative AI model (e.g., OpenAI's DALLE-2) based on the analyzed fortune information to generate a lucky image that reflects specific lucky colors and items. The generative AI model also uses the summarized information to recommend products and customize the product images. An example prompt might be, "Create an image featuring a frog in blue."

[1250] 6. Image provision and wallpaper setting

[1251] The device provides the generated good luck image and customized product image to the user and displays them in a format that can be set as wallpaper on a PC or smartphone. By setting this image as wallpaper, the user can visually enjoy their daily fortune and can also view and purchase the presented products.

[1252] User operations

[1253] 7. Check the image and set it as wallpaper

[1254] The user can check the generated image provided by the device and set it as wallpaper if necessary. This allows the user to visually incorporate lucky items based on their daily fortune. The user can also check the suggested products and purchase any that interest them.

[1255] Specific examples

[1256] For example, if User A is an Aries, the server collects data from "Fortune-telling Source A" that reads, "Aries' fortunes today are good for work, and their lucky color is blue," and from "Fortune-telling Source B" that reads, "Aries' fortunes today are on the rise in love, and their lucky item is a frog." This data is analyzed and summarized to generate harmonized fortune information: "Aries' fortunes today: good for work and love, their lucky color is blue, and their lucky item is a frog." Based on this fortune information sent to the device, the device generates a lucky image with a blue base and a frog design. At the same time, the AI ​​model also customizes the image of the recommended product for that day (e.g., merchandise with a blue frog design). User A confirms this image and selects "Yes," which changes the smartphone wallpaper to the generated lucky image and gives the user the option to purchase the presented product.

[1257] In this way, the system of the present invention provides harmonized fortune information from multiple divination sources, provides users with a means to incorporate visual fortune elements, and provides product recommendations based on the fortune of the day.

[1258] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1259] Step 1:

[1260] Data collection

[1261] Input: URL or API endpoint of fortune-telling source

[1262] How it works: Every morning, the server accesses multiple fortune-telling information sources based on a schedule using web crawling techniques and API calls to collect fortune-telling information (today's fortune for each zodiac sign, lucky colors, lucky items, etc.).

[1263] Output: A dataset of collected fortune information

[1264] Step 2:

[1265] Data analysis and summary

[1266] Input: A dataset of collected fortune information

[1267] How it works: The server analyzes the collected data, integrates and summarizes the data from each source, and unifies overlapping information such as fortune items (e.g., career fortune, love fortune, health fortune), lucky colors, lucky items, etc., to generate harmonious fortune information.

[1268] Output: Summary fortune information

[1269] Step 3:

[1270] Sending fortune information

[1271] Input: Summary fortune information

[1272] How it works: The server sends summarized fortune information to the user's device. This information serves as the basis for the user to generate good luck images and product images on their device.

[1273] Output: Fortune information sent to the user's device

[1274] Step 4:

[1275] Data analysis

[1276] Input: Fortune information sent from the server

[1277] Operation: The device analyzes the received fortune information and verifies that it contains specific suggestions (lucky colors, lucky items, products). The analyzed data forms the basis for image generation and product suggestions.

[1278] Output: Detailed fortune data for image generation and product recommendations

[1279] Step 5:

[1280] Image generation

[1281] Input: Detailed fortune data

[1282] How it works: The device launches a generative AI model (e.g., OpenAI's DALLE-2) based on the analyzed fortune information to generate a lucky image that reflects lucky colors and lucky items. It also suggests recommended products based on the summarized information and customizes the product images using the generative AI model. An example prompt is "Create an image featuring a frog in blue."

[1283] Output: Generated lucky images and customized product images

[1284] Step 6:

[1285] Image provided and wallpaper setting

[1286] Input: Generated lucky image and customized product image

[1287] Operation: The device provides the generated image to the user and displays it in a format that can be set as wallpaper on a PC or smartphone. By setting this image as wallpaper, the user can visually enjoy their daily fortune and can also browse and purchase the products presented.

[1288] Output: Image displayed on the user's device and wallpaper setting options

[1289] Step 7:

[1290] Check image and set wallpaper

[1291] Input: Generated images and product suggestions provided by the device

[1292] How it works: The user checks the generated image provided by the device and sets it as wallpaper if desired. This allows the user to visually incorporate lucky items based on their daily fortune. The user is also given the option to purchase the suggested items.

[1293] Output: Wallpaper image and purchasable product information

[1294] 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.

[1295] This invention relates to a system that provides a new fortune-telling experience by combining generative AI and an emotion engine. This system analyzes and summarizes fortune information collected from multiple fortune-telling information sources, and generates and provides images that bring good fortune based on the results in response to the user's emotions. Specific embodiments of the invention are described below.

[1296] Server Operation

[1297] 1. Data Collection

[1298] The server accesses multiple reliable fortune-telling sources based on a schedule every morning to collect fortune-telling information, using web crawling and APIs to obtain information such as today's fortune, lucky colors, lucky items, etc. for each zodiac sign.

[1299] 2. Data Analysis and Summary

[1300] The server analyzes the collected fortune information, integrates and summarizes the data from each source, and unifies overlapping information such as fortune items (e.g., career fortune, love fortune, health fortune), lucky colors, lucky items, etc. to generate harmonized fortune information.

[1301] 3. Sending fortune information

[1302] The server sends the summarized fortune information to the user's device, which serves as the basis for the user to generate good luck images on their device.

[1303] Device behavior

[1304] 4. Operation of the Emotion Engine

[1305] The device is equipped with an emotion engine for recognizing the user's emotions by analyzing the user's voice, facial expressions, and input data.

[1306] 5. Data Analysis and Customization

[1307] The device receives and analyzes the fortune information sent from the server, and dynamically adjusts the content of the fortune information display and the content of the generated image based on the user's emotions.

[1308] 6. Image Generation

[1309] The device then activates a generative AI model based on the analyzed fortune information and the user's emotions to generate a new image, which includes colors and designs that reflect the user's emotions.

[1310] 7. Image provision and wallpaper setting

[1311] The device provides the generated image of good fortune to the user and displays it in a format that can be set as wallpaper on a PC or smartphone. By setting this image as wallpaper, users can enjoy the visual of their daily fortune and start their day in a way that is in tune with their emotions.

[1312] User operations

[1313] 8. Check the image and set it as wallpaper

[1314] The user can check the generated image provided by the device and set it as wallpaper if necessary. This allows the user to visually incorporate lucky items based on their daily fortune while receiving support tailored to their individual emotions.

[1315] Specific examples

[1316] For example, if User B is an Aries and the emotion engine recognizes that his current emotion is "feeling stressed," the server collects data from "Fortune-telling Information Source A" that reads, "Aries' fortunes today are good for work, and their lucky color is blue," and from "Fortune-telling Information Source B" that reads, "Aries' fortunes today are good for love, and their lucky item is a frog." These data are analyzed and summarized to generate harmonized fortune information such as, "Aries' fortunes today: good for work and love, their lucky color is blue, and their lucky item is a frog."

[1317] The device uses its emotion engine to obtain information that "the user is feeling stressed," and combines this with the fortune information to generate a lucky image with a blue frog design that incorporates soothing elements. When User B confirms this image and selects "yes," the smartphone wallpaper is changed to the generated soothing lucky image.

[1318] As a result, the system of the present invention provides fortune information harmonized from multiple fortune-telling information sources, and further generates and provides images that bring good fortune customized based on the user's emotions, thereby providing support that is in tune with the user's emotions and helping them start their day off right.

[1319] The processing flow will be explained below.

[1320] Step 1:

[1321] Every morning, the server accesses multiple reliable fortune-telling sources based on a schedule, using web crawling and APIs to send requests to obtain information such as today's horoscope, lucky colors, and lucky items for each zodiac sign.

[1322] Step 2:

[1323] The server receives data collected from each fortune-telling information source. This data contains multiple elements, such as "Today's horoscope for Aries: Good luck in work, lucky color is blue" from "Fortune-telling information source A" and "Today's horoscope for Aries: Good luck in love, lucky item is frog" from "Fortune-telling information source B."

[1324] Step 3:

[1325] The server analyzes the received data and integrates each element of fortune (e.g., career luck, love luck, health luck), lucky color, lucky item, etc. Specifically, it compares and evaluates data from multiple sources and unifies overlapping or different content.

[1326] Step 4:

[1327] The server generates a summary result as unified fortune information: "Today's fortune for Aries: Good luck in work and love. Lucky color is blue. Lucky item is frog."

[1328] Step 5:

[1329] The server then sends the generated summary to the user's device using a communication protocol and data format (e.g., JSON or XML) for remotely connecting to the user's device and transmitting data.

[1330] Step 6:

[1331] The device receives the fortune information sent from the server, analyzes this information within the device, and identifies each element of fortune, lucky color, lucky item, etc.

[1332] Step 7:

[1333] The device activates an emotion engine to recognize the user's emotions. The emotion engine analyzes the user's voice, facial expressions, and input data in real time to identify the user's current emotional state. For example, it may use a camera or microphone to analyze the user's facial expressions and voice to determine that they are "feeling stressed."

[1334] Step 8:

[1335] The device integrates the analyzed fortune information with the recognized emotional data. Specifically, if the user is feeling stressed, it will select colors and designs that have a soothing effect.

[1336] Step 9:

[1337] The device activates the generative AI model and generates a new image based on the integrated fortune information and emotional data. For example, input parameters such as "lucky color: blue," "lucky item: frog," and "current emotion: feeling stressed" into the AI ​​model and obtain the generated image.

[1338] Step 10:

[1339] The device displays the generated image to the user and pops up a dialog box asking, "Do you want to set this image as wallpaper?" This allows the user to easily check and set the image.

[1340] Step 11:

[1341] The user checks the generated image and, if necessary, selects whether to set it as wallpaper.

[1342] Step 12:

[1343] If the user selects "Yes," the device calls the wallpaper setting API and sets the generated image as the device's wallpaper.

[1344] These processing steps enable the server, terminal, and user to work together to provide harmonious fortune information and generate and provide images that bring good fortune and are customized based on the user's emotions.

[1345] Example 2

[1346] 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."

[1347] Conventional fortune-telling systems simply provide information such as fortunes, lucky colors, lucky items, etc., and are unable to provide a more personalized experience that reflects the user's emotions. In addition, the means for visually expressing the generated information are limited, making it difficult for users to find new value in their everyday fortune-telling experience.

[1348] 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 collecting data from multiple fortune-telling information sources, means for analyzing the collected data and summarizing the information, means for recognizing the user's emotions, means for generating a prompt sentence based on the summarized information and the recognized emotion, means for generating an image using a generative AI model based on the generated prompt sentence, and means for providing the generated image to the user's terminal. This makes it possible to generate an image that brings good fortune in line with the user's emotions and provide a more personalized fortune-telling experience.

[1349] "Fortune Telling Sources" are external data sources used to provide fortune telling information, including, for example, fortune telling websites and APIs.

[1350] "Means of collecting data" means the technical means used to obtain the required fortune information, lucky colors, and lucky items from external fortune-telling sources, including web crawling and API requests.

[1351] "Means of analyzing data and summarizing information" means the technological means used to unify collected data, eliminate redundancies and inconsistencies, and convert it into a meaningful form, including natural language processing and data mining techniques.

[1352] "Means for recognizing a user's emotions" refers to technical means used to identify a user's emotions by analyzing the user's voice, facial expression, input data, etc., and includes voice recognition and facial recognition technology.

[1353] "Means for generating prompt text" means technical means for creating text to input into a generative AI model based on the summarized information and the recognized sentiment.

[1354] "Means for generating images using a generative AI model" refers to AI technology that receives generated prompt text as input and uses it to create images based on the content of the generated prompt text, including, for example, generative adversarial networks and AI tools dedicated to image generation.

[1355] "Means for providing images to the user's device" means the technical means used to transfer the generated images to the user's device and provide the ability to display, save or set them as wallpaper.

[1356] This invention is a system that provides a new fortune-telling experience by combining generative AI and an emotion engine. This system analyzes and summarizes fortune information collected from multiple fortune-telling information sources, and generates and provides images that bring good fortune based on the results in response to the user's emotions. Specific embodiments are described below.

[1357] Server Operation

[1358] 1. Data Collection

[1359] The server uses an automatic scheduler to collect fortune-telling information from multiple reliable fortune-telling sources at a fixed time every morning. Specifically, it obtains information such as fortunes for each zodiac sign, lucky colors, lucky items, etc. through the fortune-telling website's API. For example, it performs web crawling and API requests using the Python https library.

[1360] 2. Data Analysis and Summary

[1361] The server analyzes the collected fortune information using Python's pandas library, integrates and summarizes the data from each source, and in the process, uses natural language processing technology to eliminate data duplication and inconsistencies and generate harmonized fortune information.

[1362] 3. Sending fortune information

[1363] The server sends the summarized fortune information in JSON format to the user's device using an HTTP POST request.

[1364] Device behavior

[1365] 4. Operation of the Emotion Engine

[1366] The device is equipped with an emotion engine that analyzes voice, facial expressions, and input data to recognize the user's emotions. This emotion engine utilizes technologies such as Microsoft Azure's Cognitive Services.

[1367] 5. Data Analysis and Customization

[1368] The device analyzes the fortune information received from the server and customizes the fortune information and generated images based on the user's emotions. For example, if the user is feeling stressed, the device generates an image that includes elements that have a relaxing effect.

[1369] 6. Image Generation

[1370] The device launches a generative AI model (e.g., OpenAI's DALL-E) and generates an image by inputting a prompt based on the analyzed fortune information and the user's emotions. An example of a prompt is, "Based on today's fortune, please generate a soothing wallpaper with a blue base that will relieve stress."

[1371] 7. Image provision and wallpaper setting

[1372] The device provides the user with the generated image that brings good fortune, and displays it in a format that can be set as wallpaper on a PC or smartphone. By checking the generated image provided by the device and setting it as wallpaper, users can enjoy the visual of their daily fortune and start their day happily in a way that is in line with their emotions.

[1373] User operations

[1374] Users can check the generated images provided by their device and set them as wallpaper if necessary. This allows them to visually incorporate lucky items based on their daily fortunes while receiving support tailored to their emotions.

[1375] As described above, the system of the present invention integrates fortune-telling information and the user's emotions to provide a personalized fortune-telling experience. By combining a generative AI model and an emotion engine, it is possible to provide new value to users and support a richer daily life.

[1376] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1377] Step 1:

[1378] Data collection

[1379] The server accesses multiple fortune-telling sources every morning at 6:00 AM using an automatic scheduler to collect fortune-telling information. The input includes the API endpoint URLs of the fortune-telling sources. When these APIs are queried using the Python https library, the returned output is JSON data of the fortune, lucky color, and lucky item for each zodiac sign.

[1380] Step 2:

[1381] Data analysis and summary

[1382] The server parses the collected JSON formatted fortune information and converts it into a data frame using the Python pandas library. It uses the collected fortune information as input and summarizes this data using NLP techniques to eliminate duplicates and inconsistencies and summarize it into harmonized fortune information. As output, a unified data frame of fortune information is generated.

[1383] Step 3:

[1384] Sending fortune information

[1385] The server sends the summarized fortune information to the user's device using an HTTP POST request, with the data being the summarized fortune information in JSON format. The input contains the summarized fortune information, and the output is a response confirming the transmission to the user's device.

[1386] Step 4:

[1387] Emotion Engine Operation

[1388] The device recognizes emotions by analyzing the user's voice, facial expressions, and input data. The emotion engine uses Microsoft Azure's Cognitive Services and inputs include the user's image data and voice input data. The output is information about the user's emotional state (e.g., stress, joy, etc.).

[1389] Step 5:

[1390] Data Analysis and Customization

[1391] The device receives as input fortune information sent from the server and the user's emotional data recognized by the emotion engine. Based on this data, it generates prompts and customizes their content. For example, if the user is feeling stressed, a prompt with soothing content is generated. The customized prompt is generated as output.

[1392] Step 6:

[1393] Image generation

[1394] The device launches a generative AI model, receives a customized prompt as input, and generates an image. Here, a generative AI model (e.g., OpenAI's DALL-E) is used. The customized prompt is used as input, and the URL or binary data of the generated good luck image is obtained as output.

[1395] Step 7:

[1396] Image provided and wallpaper setting

[1397] The device displays the generated image to the user and offers the option to set it as wallpaper. The input contains the URL or binary data of the generated image. The output is the image provided to the user, who can choose whether to set it as wallpaper.

[1398] Step 8:

[1399] Check image and set wallpaper

[1400] The user can check the generated image provided and set it as wallpaper if necessary. The input is the provided image, and the output is the device with the image set as wallpaper.

[1401] (Application example 2)

[1402] 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."

[1403] Conventional fortune-telling services provide fixed fortune-telling information and lucky items, but they are unable to provide information that is appropriately customized to the user's emotions or mood of the day. Furthermore, while image generation is included as a way to visually enjoy fortune-telling results, it is not something that users can use in their daily lives, such as for fitness plans or product suggestions. Therefore, there is a demand for more personalized fortune-telling information and emotional support.

[1404] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for collecting data from multiple fortune-telling information sources, means for analyzing the collected data and summarizing the information, means for generating an image based on the summarized information, means for providing the generated image to the user's terminal, means for recognizing the user's emotion, and means for dynamically customizing the image based on the recognized emotion. This makes it possible to provide fortune information, fitness plans, and product suggestions customized according to the user's emotion.

[1405] "Multiple fortune-telling information sources" refers to information providers that provide multiple different fortune-telling-related data.

[1406] "Means of collecting data" refers to the devices and methods used to obtain the necessary data from fortune-telling information sources using web crawling or APIs.

[1407] "Methods of analyzing collected data and summarizing information" refers to the process of integrating acquired data, removing redundancies and unnecessary parts, and converting them into concise and meaningful information.

[1408] The "means for generating an image based on summarized information" refers to a technique or algorithm for creating a visually meaningful image based on summarized fortune-telling information.

[1409] "Means for providing generated images to a user's device" refers to a system for transmitting and displaying generated image data on a user's digital device such as a smartphone or computer.

[1410] "Means for recognizing user emotions" refers to a system or algorithm that analyzes a user's facial expressions, voice, or input data to determine their emotional state.

[1411] "Means for dynamically customizing images based on recognized emotions" refers to a technique for changing the content and design of an image in a way that corresponds to the user's current emotional state.

[1412] "Lucky images" are images that are intended to visually improve the user's fortunes based on fortune-telling information, lucky colors, and lucky items.

[1413] "A format that can be set as wallpaper on a user's device" means that the generated image is in a file format that can be set as the standby screen of a digital device such as a smartphone or computer.

[1414] The "navigation means for suggesting fitness plans and products" is a system that guides and recommends appropriate fitness activities and products to users based on their emotional state and fortune information.

[1415] "Generative AI model" refers to algorithms or software for image and document generation using artificial intelligence.

[1416] A "prompt sentence" is an input text that causes a generative AI model to generate output.

[1417] DETAILED DESCRIPTION OF THE INVENTION The following describes an embodiment of the present invention.

[1418] The server first collects data from multiple fortune-telling information sources. Specifically, it uses web crawlers and APIs to obtain data such as fortunes, lucky colors, and lucky items from fortune-telling-related sites and services. This collection process uses common web crawling tools such as Beautiful Soup and Scrapy.

[1419] The server then analyzes the collected data and summarizes the information. Using pandas, a Python data analysis library, it removes duplicate data, consolidates information, and summarizes the daily fortune information concisely. As a result, the fortune information obtained from each fortune-telling source is integrated and harmonized data is generated for delivery to users.

[1420] The server generates an image based on the summarized fortune information. In this process, a generative AI model is used to generate an image that matches the user's fortune, lucky color, and lucky item. OpenAI's GPT-3 and DALL-E are used as generative AI models. The generated image data is then sent to the user's device.

[1421] The device is equipped with an emotion engine that recognizes the user's emotions. The emotion engine uses Microsoft Azure Cognitive Services. The engine analyzes the user's facial expressions and voice data to determine the user's current emotional state.

[1422] Based on the emotional data recognized by the emotion engine, the device dynamically customizes the generated fortune information and images. For example, if the user is feeling stressed, the device will adjust the color and design of the generated image to provide an image with soothing elements that is tailored to the user. This provides visual support that is tailored to the user's emotional state.

[1423] The device also has a function to provide the generated image in a format that can be set as wallpaper on the user's device. With a simple operation, the user can set this image as wallpaper on their smartphone or computer.

[1424] The device also has a navigation function that suggests fitness plans and products based on the user's emotional state and fortune-telling information. Based on the fortune-telling information and emotional data sent from the server, the device guides users to appropriate fitness activities and product sections. This allows users to incorporate fortune-telling information into their real-life action plans.

[1425] Specific examples

[1426] For example, if the user is an Aries and the emotion engine recognizes that the user is feeling "stressed," the server collects data from "Fortune-telling information source A" that reads, "Aries' fortunes today are good for work, and their lucky color is blue," and from "Fortune-telling information source B" that reads, "Aries' fortunes today are rising in love, and their lucky item is a frog." The server analyzes and summarizes this data to generate harmonized fortune information such as, "Aries' fortunes today: good for work and love, their lucky color is blue, and their lucky item is a frog."

[1427] Based on this summary, a generative AI model is used to generate a blue-based frog design with soothing elements, which is then sent to the user's smart glasses or device.

[1428] The device will also suggest relaxation fitness plans based on the user's emotional data, such as the level of stress they are feeling.

[1429] Examples of prompts for generative AI models include:

[1430] The user is an Aries and is feeling stressed. This is a good day for work and love. The lucky color is blue, and the lucky item is a frog. Use this information to generate a fitness plan and an attractive image.

[1431] This improves the user experience by providing personalized fortune-telling and fitness plans that are tailored to the user's emotional state.

[1432] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1433] Step 1: Data collection

[1434] The server collects data from multiple fortune-telling information sources. Specifically, the server uses a web crawling tool (e.g., Beautiful Soup or Scrapy) or an API to obtain data on fortunes, lucky colors, and lucky items from each fortune-telling information source. This allows the server to access each fortune-telling information source, collect data, and store it in a local database.

[1435] Input: Fortune-telling source URL or API key

[1436] Output: Collected raw data (fortune information, lucky color, lucky item)

[1437] Step 2: Data analysis and summary

[1438] The server analyzes the collected data and summarizes the information. Specifically, it uses Python data analysis libraries (e.g., pandas) to remove duplicate data, consolidate information, and remove unnecessary data. Finally, it summarizes the daily fortune information concisely.

[1439] Input: Raw data collected

[1440] Output: Summary of fortune information (fortune items, lucky colors, lucky items)

[1441] Step 3: Send your fortune

[1442] The server sends the summarized fortune information to the user's device using protocols that transmit data in real time over the Internet (e.g., HTTP, WebSocket, etc.).

[1443] Input: Summary fortune information

[1444] Output: Data sent to the user's device

[1445] Step 4: Emotion Recognition

[1446] The device uses Microsoft Azure Cognitive Services to recognize the user's emotions. It collects facial expressions and voice data through the user's camera and microphone, and inputs that data into an emotion engine, which then analyzes the data and determines the user's current emotional state.

[1447] Input: User's facial expression data and voice data

[1448] Output: Perceived emotional state (e.g., stress, happiness, sadness, etc.)

[1449] Step 5: Data Analysis and Customization

[1450] The device integrates and analyzes the recognized emotion data and the fortune information sent from the server, allowing the fortune information to be customized according to the user's emotional state. The data is analyzed using Python libraries (e.g., NumPy, SciPy).

[1451] Input: Recognized emotional state, transmitted fortune information

[1452] Output: Customized fortune information

[1453] Step 6: Image generation

[1454] The device generates images using a generative AI model (e.g., GPT-3, DALL-E) based on the recognized emotional state and customized fortune information, and instructs the generative AI model to generate images using specific prompts.

[1455] Input: customized fortune information, perceived emotional state

[1456] Output: The generated image

[1457] Step 7: Provide images and set wallpaper

[1458] The device provides the generated image to the user and displays it in a format that can be set as wallpaper on the device (e.g., JPEG, PNG), allowing the user to visually check the image and set it as wallpaper.

[1459] Input: Generated image

[1460] Output: Image set as wallpaper

[1461] Step 8: Navigate fitness plans and product recommendations

[1462] The device provides a navigation function that suggests appropriate fitness plans and products based on the user's emotional state and fortune information. The navigation system guides the user to specific fitness areas and product sections.

[1463] Input: Recognized emotional state, customized fortune information

[1464] Output: User's fitness plan and product recommendations navigation

[1465] 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.

[1466] 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.

[1467] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1468] 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.

[1469] FIG. 9 illustrates 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 behaviors 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.

[1470] 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.

[1471] 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).

[1472] 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.

[1473] 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."

[1474] 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.

[1475] 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).

[1476] 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.

[1477] 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.

[1478] 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.

[1479] 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.

[1480] 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.

[1481] 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.

[1482] 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.

[1483] 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.

[1484] 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.

[1485] 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.

[1486] The following is further disclosed regarding the above embodiment.

[1487] (Claim 1)

[1488] a means of collecting data from multiple divination sources;

[1489] A means of analyzing the collected data and summarizing the information;

[1490] means for generating an image based on the summarized information;

[1491] means for providing the generated image to a user terminal;

[1492] A system including:

[1493] (Claim 2)

[1494] A means for generating and providing an image that brings good luck to a user based on the summarized information;

[1495] means for providing the generated image in a format that can be set as wallpaper on a user's terminal;

[1496] The system of claim 1 further comprising:

[1497] (Claim 3)

[1498] The data collected is about fortune information, lucky colors, and lucky items,

[1499] The summarized information includes those elements,

[1500] 10. The system of claim 1.

[1501] "Example 1"

[1502] (Claim 1)

[1503] A means of collecting data from multiple reliable sources of divination;

[1504] A means of analyzing the collected data and synthesizing and summarizing the data from each source;

[1505] means for transmitting the summarized fortune information to a user terminal;

[1506] A means for analyzing fortune information on a user's device and activating a generative AI model to generate an image based on the fortune information;

[1507] means for providing the generated image to a user terminal;

[1508] A system including:

[1509] (Claim 2)

[1510] A means for generating and providing a good luck image by sending a prompt sentence to a generative AI model based on the summarized fortune information;

[1511] means for providing the generated image in a format that can be set as wallpaper on a user's terminal;

[1512] The system of claim 1 further comprising:

[1513] (Claim 3)

[1514] The data collected is about fortune information, lucky colors, and lucky items,

[1515] The summarized fortune information includes these elements,

[1516] 10. The system of claim 1.

[1517] "Application Example 1"

[1518] (Claim 1)

[1519] a means of collecting data from multiple divination sources;

[1520] A means of analyzing the collected data and summarizing the information;

[1521] means for generating an image based on the summarized information;

[1522] means for providing the generated image to a user terminal;

[1523] A means for suggesting products based on the summarized information and customizing the product images using a generative AI model;

[1524] A system including:

[1525] (Claim 2)

[1526] A means for generating and providing an image that brings good luck to a user based on the summarized information;

[1527] means for providing the generated image in a format that can be set as wallpaper on a user's terminal;

[1528] A means for suggesting recommended products based on the user's fortune information and providing customized product images;

[1529] The system of claim 1 further comprising:

[1530] (Claim 3)

[1531] The data collected is about fortune information, reports, and lucky items.

[1532] The summarized information includes those elements,

[1533] 2. The system according to claim 1, which suggests recommended products based on the user's fortune information.

[1534] "Example 2: Combining Emotion Engines"

[1535] (Claim 1)

[1536] a means of collecting data from multiple divination sources;

[1537] A means of analyzing the collected data and summarizing the information;

[1538] means for recognizing a user's emotion;

[1539] means for generating prompt sentences based on the summarized information and the recognized emotions;

[1540] A means for generating an image using a generative AI model based on the generated prompt sentence;

[1541] means for providing the generated image to a user terminal;

[1542] A system including:

[1543] (Claim 2)

[1544] A means for generating and providing an image that brings good luck to a user based on the summarized information;

[1545] A means for customizing the fortune information and the generated image based on the user's emotions;

[1546] means for providing the generated image in a format that can be set as wallpaper on a user's terminal;

[1547] The system of claim 1 further comprising:

[1548] (Claim 3)

[1549] The data collected is about fortune information, lucky colors, and lucky items,

[1550] The summarized information includes those elements,

[1551] 10. The system of claim 1.

[1552] "Application example 2 when combining emotion engines"

[1553] (Claim 1)

[1554] a means of collecting data from multiple divination sources;

[1555] A means of analyzing the collected data and summarizing the information;

[1556] means for generating an image based on the summarized information;

[1557] means for providing the generated image to a user terminal;

[1558] means for recognizing a user's emotion;

[1559] means for dynamically customizing images based on the recognized emotions;

[1560] A system including:

[1561] (Claim 2)

[1562] A means for generating an image that brings good luck to the user based on the summarized information, and adjusting and providing the image according to the recognized emotion;

[1563] means for providing the generated image in a format that can be set as wallpaper on a user's terminal;

[1564] A navigation method that recognizes the user's emotions and suggests corresponding fitness plans and products;

[1565] The system of claim 1 further comprising:

[1566] (Claim 3)

[1567] The data collected is about fortune information, lucky colors, and lucky items,

[1568] The summarized information includes those elements,

[1569] The system of claim 1 uses a generative AI model to generate images and guidance information based on prompt sentences. [Explanation of symbols]

[1570] 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. a means of collecting data from multiple divination sources; A means of analyzing the collected data and summarizing the information; means for generating an image based on the summarized information; means for providing the generated image to a user's terminal; A system including:

2. A means for generating and providing an image that brings good luck to a user based on the summarized information; means for providing the generated image in a format that can be set as wallpaper on a user's terminal; The system of claim 1 further comprising:

3. The data collected is about fortune information, lucky colors, and lucky items, The summarized information includes those elements, The system of claim 1 .

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