system

Abstract

Provide a system. [Solution] a means for inputting the user's dietary goals, preferences, allergy information, and diet method; A means for validating and analyzing the entered information; A way to find the perfect recipe based on your dietary goals, preferences, allergy information, and diet method. A means for listing the ingredients and cooking equipment needed based on the recipe retrieved; a means for generating links to purchase the listed ingredients and cooking equipment; and a means for presenting recipe information, a list of ingredients and cooking equipment, and a purchase link to a user.

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] Conventional recipe suggestion systems have difficulty providing recipes that fully consider a user's individual dietary goals, preferences, allergy information, and diet methods. Furthermore, they lack a convenient way to purchase the ingredients and cooking utensils required for the suggested recipes, making them difficult for users to use. The present invention aims to solve these problems and provide a system that provides users with personalized recipes and the necessary items. [Means for solving the problem]

[0005] The present invention is a system that includes means for inputting a user's dietary goals, preferences, allergy information, and diet method, means for validating and analyzing the input information, means for searching for optimal recipes based on the dietary goals, preferences, allergy information, and diet method, means for listing necessary ingredients and cooking utensils based on the searched recipe, means for generating links for purchasing the listed ingredients and cooking utensils, and means for presenting the recipe information, list of ingredients and cooking utensils, and purchase links to the user. This allows users to easily obtain recipes that meet their needs and quickly purchase the necessary items.

[0006] "User" refers to a person who uses the system to input their dietary goals, preferences, allergy information, and diet method, and receives suggestions for optimal recipes.

[0007] "Dietary goal" refers to a health or physical condition that a user wishes to achieve, such as losing weight, gaining muscle, or maintaining good health.

[0008] "Preferences" refers to information about the foods a user likes and dislikes, and is a factor that influences recipe suggestions.

[0009] "Allergy information" refers to information that a user has an allergy to a particular ingredient, which should be reflected in recipe suggestions to avoid allergic reactions.

[0010] "Diet" refers to the dietary guidelines or plans followed by a user, including specific diet styles such as ketogenic, paleo, or Mediterranean.

[0011] "Input means" refers to an interface or device that allows a user to input dietary goals, preferences, allergy information, and diet methods into the system.

[0012] "Validation measures" refers to functions that check that the information entered by the user is accurate and complete.

[0013] "Analysis means" refers to the algorithms or programs used to analyze the input information and select the best recipe for the user.

[0014] "Search method" refers to the function that searches the recipe database based on the user's dietary goals, preferences, allergy information, and diet method to find appropriate recipes.

[0015] "Listing means" refers to a function that displays a list of ingredients and cooking utensils required based on a selected recipe.

[0016] "Purchase link generation means" refers to a function that generates links for purchasing the listed ingredients and cooking utensils online.

[0017] "Presentation mechanism" refers to the functionality that displays recipe information, a list of ingredients and utensils, and a purchase link to the user. [Brief explanation of the drawings]

[0018] [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

[0019] 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.

[0020] First, the terms used in the following description will be explained.

[0021] 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).

[0022] 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.

[0023] 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.

[0024] 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.

[0025] 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."

[0026] [First embodiment]

[0027] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0028] 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.

[0029] 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).

[0030] 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.

[0031] 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.

[0032] 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.

[0033] 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.

[0034] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0035] 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.

[0036] 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.

[0037] 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.

[0038] 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."

[0039] The present invention is a system that proposes optimal recipes based on a user's individual dietary goals, preferences, allergy information, and diet method, and allows the user to easily purchase the ingredients and cooking utensils required for those recipes. The processing of the system's program is explained below in natural language.

[0040] 1. User Input Processing

[0041] Device:

[0042] When a user launches the application, an interface appears, allowing the user to enter their dietary goals, food preferences, allergy information, and diet method. After the user enters this information, the device validates the input data to ensure there are no missing or incorrect information. Correctly entered data is sent to the server.

[0043] 2. Sending and Receiving Data

[0044] server:

[0045] The server receives user data sent from the device. The server analyzes the received data and searches a recipe database based on the user's dietary goals, preferences, allergy information, and diet method. The server uses an algorithm to select the optimal recipe. The server lists the ingredients and cooking utensils required for the selected recipe and generates a link to purchase them. The generated recipe information, ingredient list, and purchase link are sent to the device.

[0046] 3. Recipe suggestions and presentation to users

[0047] Device:

[0048] The server sends recipe information, an ingredient list, and a purchase link to the user, allowing the user to review the suggested recipe and purchase the necessary ingredients and cooking equipment within the application.

[0049] user:

[0050] Users can find recipes that are best suited to their dietary goals, preferences, allergies, and dietary needs, then cook the meal according to the recipe and click links to purchase the ingredients and cooking equipment they need, completing the online purchase process.

[0051] Specific examples

[0052] User "A" is looking for recipes based on the Mediterranean diet in order to stay healthy. He has a nut allergy, likes fish dishes, and dislikes cheese. User A launches the application and enters this information (staying healthy, likes fish dishes, nut allergy, dislikes cheese, Mediterranean diet). The device sends this data to the server. The server analyzes the received data and filters recipes that match the criteria from an external recipe database. The server then selects the recipe "Grilled Salmon with Lemon Herb Sauce." Since this recipe requires salmon, lemon, herbs, a grill, and a skillet, the server generates a list of these ingredients and cooking utensils, along with links to purchase them, and sends them to the device. The device presents this information to User A, who can then purchase the necessary ingredients and cooking utensils after checking the recipe.

[0053] Effect of the invention

[0054] This system allows users to easily find recipes that best suit their dietary goals, preferences, allergies, and diet methods, and also allows them to purchase the ingredients and cooking equipment they need in one go within the app, greatly improving user convenience.

[0055] The processing flow will be explained below.

[0056] Program processing details

[0057] 1. User Input Processing

[0058] Step 1:

[0059] The user starts a terminal and starts an application, which displays an input form.

[0060] Step 2:

[0061] The user enters their dietary goals (e.g., maintaining good health), preferences (e.g., likes fish dishes, dislikes cheese), allergy information (e.g., nut allergy), and diet method (e.g., Mediterranean diet).

[0062] Step 3:

[0063] The device validates the input data to ensure all required fields are entered correctly, for example, checking that dietary goals and allergy information are included.

[0064] Step 4:

[0065] If the validation is successful, the terminal transmits the entered data to the server.

[0066] 2. Sending and Receiving Data

[0067] Step 5:

[0068] The server receives the data sent from the terminal and begins analyzing it.

[0069] Step 6:

[0070] Based on the data analyzed by the server, the recipe database is searched to select the most suitable recipe, taking into consideration dietary goals, preferences, allergy information, and diet methods.

[0071] Step 7:

[0072] The server filters the search results to find multiple recipes that match the criteria, and an algorithm selects the recipe that best suits the user's criteria.

[0073] 3. Recipe suggestions and presentation to users

[0074] Step 8:

[0075] The server lists the ingredients (e.g., salmon, lemon, herbs) and cooking equipment (e.g., grill, skillet) required for the selected recipe and generates a purchase link based on the list.

[0076] Step 9:

[0077] The server sends the generated recipe information, ingredient list, and purchase link to the terminal.

[0078] Step 10:

[0079] The device displays the recipe information, ingredients list, and purchase link to the user.

[0080] 4. Check the recipe and purchase

[0081] Step 11:

[0082] The user reviews the displayed recipe (e.g., Grilled Salmon with Lemon Herb Sauce).

[0083] Step 12:

[0084] The user clicks on the purchase link provided to purchase the ingredients and cooking equipment they need.

[0085] Specific examples

[0086] User "A" is looking for recipes based on the Mediterranean diet in order to maintain good health. He has a nut allergy, likes fish dishes, and dislikes cheese. User A starts the application and enters information about maintaining good health, liking fish dishes, allergy to nuts, dislikes cheese, and the Mediterranean diet. The device validates this data and sends it to the server. The server analyzes the received data and selects the optimal recipe. The server selects the recipe "Grilled salmon with lemon herb sauce," generates a list of the necessary ingredients and utensils, and a purchase link, and sends them to the device. The device presents the recipe information to User A, who then checks the recipe and purchases the necessary items.

[0087] This process allows users to easily find recipes that fit their needs and quickly purchase the ingredients and cooking equipment they need.

[0088] Example 1

[0089] 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."

[0090] To address today's diverse dietary habits and individual health needs, systems that suggest optimal recipes based on users' dietary goals, preferences, allergy information, and diet methods are needed. However, many such systems struggle to provide personalized suggestions based on detailed user information. Furthermore, there is a lack of systems that allow users to easily purchase the ingredients and cooking equipment needed for the suggested recipes, preventing consistent user convenience.

[0091] 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.

[0092] In this invention, the server includes means for inputting a user's dietary goals, preferences, allergy information, and diet method, means for validating and analyzing the input information, means for transmitting the input information to the server, means for searching for and selecting an optimal recipe based on the user's dietary goals, preferences, allergy information, and diet method on the server, means for listing necessary ingredients and cooking utensils based on the searched and selected recipe, means for generating links for purchasing the listed ingredients and cooking utensils, and means for presenting the generated recipe information, list of ingredients and cooking utensils, and purchase links to the user. This enables users to easily find recipes that meet their specific dietary needs and purchase the ingredients and cooking utensils required for those recipes all at once.

[0093] A "user" is an individual or organization that uses the system and inputs information such as dietary goals, preferences, allergy information, and diet methods.

[0094] A "dietary goal" is a dietary goal that a user wants to achieve, such as losing weight or staying healthy.

[0095] "Preferences" refers to information about individual preferences, such as the types of ingredients and dishes that a user likes, or the types of ingredients and dishes that a user does not like to eat.

[0096] "Allergy Information" is information about foods to which the user has an allergic reaction, and is a list of foods that should be avoided to protect the user's health.

[0097] "Diet Method" refers to the specific dietary restrictions or eating habits adopted by the user, such as a keto diet or Mediterranean diet.

[0098] "Input means" refers to an interface and device that allows a user to input information such as dietary goals, preferences, allergy information, and diet methods into the system.

[0099] "Validation" is the process of ensuring that the data entered by the user is accurate and complete.

[0100] "Means of analysis" refers to algorithms or software that analyze users' conditions and needs based on input information.

[0101] "Means of transmission" refers to the communication protocols and functions for sending user input data from the terminal to the server.

[0102] "Search and selection means" refers to algorithms or systems that search for and select the best recipes from a database that meet the user's requirements.

[0103] The "listing means" is a function or device that creates a list of necessary ingredients and cooking utensils based on the selected recipe.

[0104] "Links to Purchase" are the URLs or hyperlinks necessary to purchase the listed ingredients or cooking equipment online.

[0105] The "presentation means" refers to an interface or device that displays the generated recipe information, list of ingredients and cooking utensils, and purchase links in an easy-to-view format for the user.

[0106] A "generative AI model" is an artificial intelligence algorithm or learning model used to suggest optimal recipes based on a user's preferences and conditions.

[0107] This invention is a system that suggests optimal recipes based on a user's individual dietary goals, preferences, allergy information, and diet methods, and allows the user to easily purchase the ingredients and cooking utensils required for those recipes.

[0108] 1. User Input Processing

[0109] Device:

[0110] When a user launches the application, an interface appears, allowing them to enter their dietary goals, preferences, allergy information, and diet method. The device validates the entered information to ensure there are no missing or incorrect information. Specifically, validation includes front-end validation using JavaScript (registered trademark), for example. Correctly entered data is sent to the server.

[0111] 2. Data transmission

[0112] Device:

[0113] The device uses a secure protocol (e.g., HTTPS) to transmit the validated data to the server, where the transmitted data is user profile information such as dietary goals, preferences, allergy information, and diet methods.

[0114] 3. Data Receipt and Analysis

[0115] server:

[0116] The server receives user data sent from the device, stores it in a database system (e.g., MySQL or PostgreSQL), and runs algorithms to analyze the user's dietary goals, preferences, allergy information, and diet methods. This analysis involves data analysis techniques using languages ​​such as Python and R.

[0117] 4. Selection of the optimal recipe

[0118] server:

[0119] Based on the analysis results, a recipe database (such as MongoDB or Firebase) is searched. Candidate recipes that meet the user's criteria are listed, and the optimal recipe is selected using weighting and scoring of multiple criteria. A generative AI model can then be used to make personalized recipe suggestions based on the user's preferences and criteria.

[0120] 5. Generating recipe information and links

[0121] server:

[0122] The system extracts the details of the selected recipe and generates a list of the ingredients and utensils required. This process processes the data retrieved from the recipe database and formats it into a user-friendly format. It also generates links to purchase the listed ingredients and utensils and sends the data to the device.

[0123] 6. Receiving and displaying recipe information

[0124] Device:

[0125] Receive the recipe information, ingredients list, and purchase link sent from the server. Display this information in the application interface, presenting it in a user-friendly format. For example, this can be achieved using a modern front-end framework such as React or Vue.js.

[0126] 7. User Actions

[0127] user:

[0128] The user reviews the displayed recipe information, ingredient list, and purchase links. If necessary, they click on links to purchase ingredients and cooking equipment and complete the online checkout process. This completes the process and the user can begin cooking according to the suggested recipe.

[0129] Specific examples

[0130] User "A" is looking for recipes based on the Mediterranean diet in order to stay healthy. He has a nut allergy, likes fish dishes, and dislikes cheese. User A launches the application and enters this information (staying healthy, likes fish dishes, nut allergy, dislikes cheese, Mediterranean diet). The device correctly validates this data and sends it to the server. The server analyzes the received data and selects an appropriate recipe. In this case, the recipe "Grilled Salmon with Lemon Herb Sauce" is selected. The server generates a list of ingredients (salmon, lemon, herbs) and cooking equipment (grill pan) required for this recipe and sends a link to purchase them to the device. The device presents this information to User A, who can then purchase the necessary ingredients and cooking equipment and cook the dish according to the suggested recipe.

[0131] Prompt Sentence Examples

[0132] "Please suggest some Mediterranean recipes aimed at maintaining good health that are suitable for people with nut allergies."

[0133] "We're looking for recipes that are perfect for people who love fish but don't like cheese."

[0134] This way, users can easily find the perfect recipe that meets their specific dietary needs and purchase the ingredients and cooking equipment needed for that recipe all in one place.

[0135] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0136] Step 1: Process User Input

[0137] Device:

[0138] When a user launches the application, an interface is displayed for entering dietary goals, preferences, allergy information, and diet methods. The user enters this information into a form. The form incorporates mandatory field checks and input format checks to validate that there are no missing or error information. If the input data passes validation, it is sent to the server.

[0139] Input: User's dietary goals, preferences, allergy information, diet method

[0140] Output: Data that has passed validation (dietary goals, preferences, allergy information, diet methods)

[0141] Step 2: Sending data

[0142] Device:

[0143] Once the user data has passed validation, it is sent to the server using a secure protocol (e.g. HTTPS), where the data is encrypted to ensure that it is transmitted securely.

[0144] Input: Validated user data

[0145] Output: User data sent to the server

[0146] Step 3: Receiving and storing data

[0147] server:

[0148] Receives user data sent from the device. The received data is stored in a database system (e.g., MySQL or PostgreSQL). The stored data is used for subsequent analysis processing.

[0149] Input: User data sent from the device

[0150] Output: User data stored in the database

[0151] Step 4: Data analysis

[0152] server:

[0153] The stored user data is analyzed using Python and R, and algorithms are applied to extract suitable recipe candidates based on the user's dietary goals, preferences, allergies, and diet methods. The criteria are weighted and scored to select the recipe that best matches the user's criteria.

[0154] Input: User data stored in the database

[0155] Output: A list of suitable recipe candidates

[0156] Step 5: Selecting the optimal recipe

[0157] server:

[0158] Using a generative AI model based on the analysis results, the system selects recipes that best fit the user's preferences and conditions. The model is trained based on past data and feedback from other users, enabling highly accurate recipe suggestions. The selected recipes include information on the necessary ingredients and cooking utensils.

[0159] Input: Recipe candidate list

[0160] Output: Optimized recipe and information on ingredients and cooking equipment required

[0161] Step 6: Generate a purchase link

[0162] server:

[0163] Based on the selected recipe, a link to purchase the necessary ingredients and cooking equipment is generated. The link is generated using the API of the online shopping site and is set up to directly access the purchase page for each item.

[0164] Input: Your best recipe and the ingredients and equipment you need

[0165] Output: A list of ingredients and cooking equipment with purchase links

[0166] Step 7: Receiving and displaying recipe information

[0167] Device:

[0168] The system receives the best recipe information, ingredient list, and purchase link sent from the server, and displays the received information in a user interface so that users can easily check it. Modern front-end frameworks such as React and Vue.js are used for display.

[0169] Input: Recipe information, ingredients list, and purchase link sent from the server

[0170] Output: Information displayed in the user interface

[0171] Step 8: User Actions

[0172] user:

[0173] The user reviews the recipe information, ingredients list, and purchase link displayed, and if necessary, clicks the link to complete the online purchase. After completing the purchase, the user begins cooking according to the suggested recipe.

[0174] Input: Information displayed in the user interface

[0175] Output: Checkout online and start cooking

[0176] (Application example 1)

[0177] 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."

[0178] Today's consumers are becoming increasingly health-conscious, and are increasingly seeking dietary management, diet options, and meals that meet their allergies and preferences. However, many food delivery services are unable to fully address these individual needs. As a result, consumers have to take the trouble of managing their own meals, which is a major challenge, especially for those who are short on time. It also increases the hassle of having to purchase ingredients and cooking equipment separately.

[0179] 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.

[0180] In this invention, the server includes means for inputting a user's dietary goals, preferences, allergy information, and diet method, means for validating and analyzing the input information, means for searching for optimal recipes based on the dietary goals, preferences, allergy information, and diet method, means for listing ingredients and cooking utensils based on the searched recipe, means for generating links for purchasing the listed ingredients and cooking utensils, means for presenting the recipe information, the list of ingredients and cooking utensils, and the purchase links to the user, means for enabling ordering of food based on the recipe information, and means for suggesting optimal recipes to the user using a generative AI model. This enables users to easily find optimal meals that fit their lifestyle and health goals, purchase the necessary ingredients and utensils, and even directly order the food.

[0181] "User" refers to a person who uses the system to input dietary goals, preferences, allergy information, diet methods, etc.

[0182] "Dietary Goal" means a specific dietary goal that a User wishes to achieve (e.g., weight loss, muscle building, health maintenance, etc.).

[0183] "Preferences" refers to the types of ingredients and dishes that a user prefers.

[0184] "Allergy Information" refers to information about food allergies that a User has.

[0185] "Diet" refers to a particular diet or nutritional regimen (e.g., ketogenic, Mediterranean, etc.) adopted by a User.

[0186] "Validation" refers to the process of ensuring that entered data is accurate and complete.

[0187] "Analysis" refers to the process of using input data to make suggestions and choices that best suit the user's needs.

[0188] "Optimal recipes" refer to recipes selected based on the user's dietary goals, preferences, allergy information, and diet method.

[0189] "Listing" refers to making a list of the ingredients and cooking utensils needed based on the selected recipe.

[0190] "Purchase Link" means a link that enables a User to purchase the listed ingredients and cooking equipment online.

[0191] "Recipe information" refers to detailed information about the specific cooking method and the ingredients and equipment required.

[0192] "Ordering food" refers to the act of a user actually ordering food through a delivery service based on a suggested recipe.

[0193] "Generative AI model" refers to a machine learning model used to analyze user input data and suggest optimal recipes.

[0194] In order to implement the present invention, it is necessary to construct the following system.

[0195] Hardware Configuration

[0196] User device: A device on which users input their dietary goals, preferences, allergy information, and diet methods. This includes smartphones, tablets, and PCs.

[0197] Server: A centralized device that analyzes input user information and selects the optimal recipe. It connects to a database and processes data in real time.

[0198] Food delivery platform: A system for ordering and delivering actual food based on suggested recipes.

[0199] Software Configuration

[0200] 1. User information validation and submission processing:

[0201] Front-end: Create input forms using modern JavaScript frameworks such as React or Vue.js.

[0202] Backend: Use a web framework such as Flask or Django to implement validation logic and information submission functionality.

[0203] 2. Data analysis and recipe selection:

[0204] Analysis Engine: A Python-based analysis engine that uses generative AI models (e.g., GPT-3 (registered trademark)) to analyze data.

[0205] Recipe database: Use a SQL or NoSQL database (e.g., MySQL, MongoDB) to store multiple recipes.

[0206] 3. Proposal and order link generation:

[0207] Link Generation System: Contains the logic to generate links that allow users to easily purchase ingredients and cooking equipment.

[0208] 4. User Interface:

[0209] Application UI: Provides an interface for users to browse suitable recipes, purchase ingredients and cooking equipment, and order meals.

[0210] Specific system processing example

[0211] 1. User input processing:

[0212] The user launches the application and enters their dietary goals (e.g., weight loss), preferences (e.g., preference for fish dishes), allergy information (e.g., nut allergy), and diet method (e.g., Mediterranean diet) into the interface.

[0213] Example: "I'm looking for Mediterranean recipes to help me stay healthy. I have a nut allergy, I like fish dishes, and I don't like cheese."

[0214] 2. Data transmission and analysis:

[0215] The server analyzes the received user information and searches the recipe database to select the optimal recipe. The analysis is performed using a generative AI model (e.g., OpenAI (registered trademark) GPT-3).

[0216] Example sentence: "Dietary goal: Maintain good health, Preferences: Likes fish dishes, Allergy information: Allergy to nuts, Diet method: Please suggest the best recipes based on the Mediterranean diet."

[0217] 3. Recipe suggestions and purchase link generation:

[0218] The server sends the selected recipe information to the user's device, and the user can view the suggested recipes in the interface, and is provided with links to purchase the necessary ingredients and cooking equipment.

[0219] Example: "The perfect recipe for you is Grilled Salmon with Lemon and Herb Sauce. Ingredients: Salmon, lemon, and herbs. Equipment: Grill, skillet."

[0220] 4. Food Ordering:

[0221] A means is provided for users to order food based on suggested recipes.

[0222] Example: "To order this dish, click on this link."

[0223] This allows users to easily find, shop and order the best meals that fit their lifestyle and health goals.

[0224] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0225] Step 1:

[0226] The user uses the device to input their dietary goals, preferences, allergy information, and diet method.

[0227] Input: dietary goals, preferences, allergy information, diet method

[0228] Data processing: Validating the entered information

[0229] Output: Validated user information

[0230] Step 2:

[0231] The device sends the validated user information to the server.

[0232] Input: Validated user information

[0233] Data calculation: information transmission processing

[0234] Output: User information received by the server

[0235] Step 3:

[0236] The server analyzes user information and uses a generative AI model (e.g., GPT-3) to find the best recipe.

[0237] Input: User information

[0238] Data Computing: Analysis and Recipe Search Using Generative AI Models

[0239] Output: Optimal recipe information

[0240] Step 4:

[0241] The server lists the ingredients and cooking equipment needed for the best recipe and generates links to purchase them.

[0242] Input: Optimal recipe information

[0243] Data calculation: Listing ingredients and cooking utensils, generating purchase links

[0244] Output: Ingredient list, cooking utensil list, purchase link

[0245] Step 5:

[0246] The server sends the generated recipe information, ingredient list, cooking utensil list, and purchase link to the terminal and presents them to the user.

[0247] Input: Recipe information, ingredients list, cooking equipment list, purchase link

[0248] Data calculation: information transmission processing

[0249] Output: Information to present to the user

[0250] Step 6:

[0251] Users can check the optimal recipes presented on their device and purchase the necessary ingredients and cooking equipment within the application.

[0252] Input: Recipe information, ingredients list, cooking equipment list, purchase link

[0253] Data processing: User verification and purchase processing

[0254] Output: Purchased ingredients and cooking equipment

[0255] Step 7:

[0256] Users order food based on suggested recipes.

[0257] Input: Recipe information, food ordering link

[0258] Data processing: food order processing

[0259] Output: Ordered food

[0260] 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.

[0261] Program processing details

[0262] 1. User Input Processing

[0263] The user starts the device and launches the application. The interface is displayed, and the user enters their dietary goals, food preferences, allergy information, and diet method. The device then validates the input data to ensure there are no omissions or errors. Correctly entered data is then sent to the server.

[0264] 2. Emotion Engine Processing

[0265] The device has an emotion engine that recognizes emotions from the user's facial expressions, tone of voice, text input, etc. The emotion engine analyzes the user's real-time emotional state and determines whether it is joy, stress, anxiety, etc.

[0266] 3. Sending and Receiving Data

[0267] The server receives the data sent from the device and begins analysis. It also receives emotional data from the emotion engine. Using this data, the server searches the recipe database based on the user's dietary goals, preferences, allergy information, diet method, and emotional state. The server uses an algorithm to select the optimal recipe, list the necessary ingredients and cooking utensils, and generate a purchase link based on the list. The generated recipe information, ingredient list, and purchase link are sent to the device.

[0268] 4. Recipe suggestions and presentation to users

[0269] The device will display the recipe information, ingredients list, and purchase link to the user, who can then review the suggested recipe and purchase the necessary ingredients and utensils within the app.

[0270] 5. Check the recipe and purchase

[0271] The user reviews the displayed recipe (e.g., Grilled Salmon with Lemon Herb Sauce). The user clicks on the displayed purchase link to purchase the necessary ingredients and cooking equipment.

[0272] Specific examples

[0273] User "B" is looking for recipes based on the Mediterranean diet to stay healthy. User B is feeling stressed and wants to eat something that will help him relax. He has a nut allergy, likes fish dishes, and dislikes cheese. User B launches the application and enters information about staying healthy, liking fish dishes, allergy to nuts, dislikes cheese, and the Mediterranean diet. The emotion engine then analyzes User B's emotional state and detects stress. The device sends this data to the server. The server analyzes the received data and selects the optimal recipe. For example, a recipe called "Grilled Salmon with Lemon Herb Sauce" is selected. This recipe requires salmon, lemon, herbs, a grill, and a skillet. The server generates a list of the ingredients and cooking utensils, along with a purchase link, and sends this to the device. The device presents the recipe information to User B, who then checks the recipe and purchases the necessary items.

[0274] This process allows users to easily retrieve recipes that fit their emotional state and dietary needs, and quickly purchase the necessary ingredients and cooking equipment.

[0275] The processing flow will be explained below.

[0276] Program processing details

[0277] 1. User Input Processing

[0278] Step 1:

[0279] The user starts a terminal and starts an application, which displays an input form.

[0280] Step 2:

[0281] The user enters their dietary goals (e.g., maintaining good health), preferences (e.g., likes fish dishes, dislikes cheese), allergy information (e.g., nut allergy), and diet method (e.g., Mediterranean diet).

[0282] Step 3:

[0283] The device validates the input data to ensure all required fields are entered correctly, for example, checking that dietary goals and allergy information are included.

[0284] Step 4:

[0285] If the validation is successful, the terminal transmits the entered data to the server.

[0286] 2. Emotion Engine Processing

[0287] Step 5:

[0288] The device activates an emotion engine that recognizes emotions from the user's facial expressions, tone of voice, text input, etc.

[0289] Step 6:

[0290] The emotion engine analyzes the user's emotional state and determines whether it is joy, stress, anxiety, etc.

[0291] Step 7:

[0292] The emotion engine sends the analysis results to the terminal, and the terminal then sends the data to the server.

[0293] 3. Sending and Receiving Data

[0294] Step 8:

[0295] The server receives the data (dietary goals, preferences, allergy information, diet methods, and emotional data) sent from the terminal.

[0296] Step 9:

[0297] The server analyzes the received data and searches a recipe database based on dietary goals, preferences, allergy information, dietary methods, and emotional state.

[0298] Step 10:

[0299] The server filters the search results to find multiple recipes that match the criteria, and an algorithm selects the recipe that best suits the user's criteria.

[0300] 4. Recipe suggestions and presentation to users

[0301] Step 11:

[0302] The server lists the ingredients (e.g., salmon, lemon, herbs) and cooking equipment (e.g., grill, skillet) required for the selected recipe and generates a purchase link based on the list.

[0303] Step 12:

[0304] The server sends the generated recipe information, ingredient list, and purchase link to the terminal.

[0305] Step 13:

[0306] The device displays the recipe information, ingredients list, and purchase link to the user.

[0307] 5. Check the recipe and purchase

[0308] Step 14:

[0309] The user reviews the displayed recipe (e.g., Grilled Salmon with Lemon Herb Sauce).

[0310] Step 15:

[0311] The user clicks on the purchase link provided to purchase the ingredients and cooking equipment they need.

[0312] Specific examples

[0313] User "B" is looking for Mediterranean-based recipes to stay healthy. He is stressed and wants to find a relaxing dish. He has a nut allergy, likes fish dishes, and dislikes cheese.

[0314] Step 1:

[0315] User B launches the application and enters information about staying healthy, liking fish dishes, having a nut allergy, disliking cheese, and following a Mediterranean diet.

[0316] Step 2:

[0317] The terminal validates the input data and sends it to the server.

[0318] Step 3:

[0319] The device activates an emotion engine and analyzes User B's stress level from his / her facial expressions and tone of voice.

[0320] Step 4:

[0321] The emotion engine transmits the emotion data to the terminal, and the terminal transmits the data to the server.

[0322] Step 5:

[0323] The server receives the data, analyzes it, and selects the optimal recipe (e.g., grilled salmon with lemon herb sauce).

[0324] Step 6:

[0325] The server generates a list of the necessary ingredients and cooking equipment along with a purchase link and sends it to the device.

[0326] Step 7:

[0327] The device presents User B with recipe information and a purchase link.

[0328] Step 8:

[0329] User B checks the recipe and purchases the necessary items.

[0330] This process allows User B to obtain recipes that fit their emotional state and dietary needs, and quickly purchase the necessary ingredients and cooking equipment.

[0331] Example 2

[0332] 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."

[0333] Conventional recipe suggestion systems typically provide recipes based on the user's dietary goals, preferences, allergy information, and diet methods, but do not consider the user's emotional state. This makes it difficult to select recipes that reflect the user's emotions, making it difficult to provide an optimal dining experience. Furthermore, selecting recipes without considering the user's emotional state can cause stress and anxiety, resulting in reduced satisfaction.

[0334] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for inputting the user's dietary goals, preferences, allergy information, and diet method, means for validating and analyzing the input information, means including an emotion engine for recognizing and analyzing the user's emotions, and means for searching for optimal recipes based on the user's dietary goals, preferences, allergy information, diet method, and emotional state. This makes it possible to suggest recipes taking into consideration the user's real-time emotional state in addition to their dietary goals, preferences, allergy information, and diet method.

[0335] A "user" is an entity that uses this system to input their dietary goals, preferences, allergy information, and diet methods, and receives recipe suggestions.

[0336] "Terminal" means a device used to provide user input and display recipe information and other related information.

[0337] The "server" is the part of the system that receives the data sent from the device and searches for the best recipe based on dietary goals, preferences, allergy information, dietary methods and emotional state.

[0338] "Dietary goal" refers to a dietary goal that a user wishes to achieve, such as maintaining good health or losing weight.

[0339] "Preferences" refers to the type or style of food a user prefers.

[0340] "Allergy information" refers to information about a user's allergies to specific ingredients.

[0341] "Diet Method" means a particular diet method or plan that a User is following or intends to follow.

[0342] "Validation" is the process of checking whether the data entered by the user is correct and whether there are any omissions or errors.

[0343] The "Emotion Engine" is a function that analyzes a user's emotional state in real time based on facial expressions, tone of voice, text input, etc.

[0344] "Emotional state" refers to the psychological state a user is feeling, such as joy, stress, or anxiety.

[0345] A "recipe" is information that includes instructions and a list of ingredients needed to prepare a particular dish.

[0346] "Listing" is the act of listing the ingredients and cooking utensils needed based on specific conditions.

[0347] "Link" means a URL that a user can click to go to a specific web page or purchasing site.

[0348] "Search" is the process of identifying the best recipe from the database based on the user's input information and emotional state.

[0349] "Presenting" is the act of displaying information (recipe information, ingredient list, purchase link, etc.) to the user.

[0350] This invention is a system that provides optimal recipes based on a user's dietary goals, preferences, allergy information, diet method, and emotional state. The system consists of a terminal and a server, and operates by combining a user interface, an emotion recognition engine, a recipe database, and algorithms.

[0351] First, the user starts the device and launches a dedicated application. The device then displays an interface that prompts the user to enter various information. The user enters their dietary goals, preferences, allergy information, and diet method. For example, they can enter information such as "maintaining good health," "likes fish dishes," "nut allergy," and "Mediterranean diet." The entered data is validated on the device to ensure there are no omissions or errors. Data that has been entered correctly is then sent to the server.

[0352] The device then activates an emotion engine to analyze the user's facial expressions and tone of voice. The emotion engine uses technologies such as OpenFace and Microsoft® Azure® emotion recognition APIs to analyze the user's real-time emotional state, capturing emotions such as stress, anxiety, and joy, and sends the data to a server.

[0353] The server receives the user's dietary goals, preferences, allergy information, diet methods, and emotional data from the device. Using this data, the server uses algorithms written in Python and R to search a recipe database stored in a MySQL database. For example, based on keywords such as "Mediterranean diet," "stress reduction," and "fish dishes," the server selects the optimal recipe, such as "grilled salmon with lemon herb sauce."

[0354] Based on the selected recipe, the server generates a list of ingredients and cooking equipment needed. The ingredients include salmon, lemon, herbs, etc., and cooking equipment includes a grill and skillet. The server uses Amazon's API to generate purchase links for the ingredients and cooking equipment. The generated recipe information, ingredient list, and purchase links are sent to the device.

[0355] The device displays the recipe information, ingredient list, and purchase link to the user. The user can review this information and, if necessary, purchase ingredients and cooking equipment within the app. This allows users to easily obtain recipes that suit their emotional state and dietary needs, and quickly purchase the necessary ingredients and tools.

[0356] Specific examples

[0357] For example, user "B" is looking for recipes based on the Mediterranean diet to stay healthy. User B is feeling stressed and wants to eat something that will help him relax. He has a nut allergy, likes fish dishes, and dislikes cheese. User B launches the application and enters information about staying healthy, liking fish dishes, allergy to nuts, dislikes cheese, and the Mediterranean diet. The emotion engine also analyzes User B's emotional state and detects stress. The device sends this data to the server. The server analyzes the data and selects the optimal recipe. For example, a recipe called "Grilled Salmon with Lemon Herb Sauce" is selected. This recipe includes salmon, lemon, herbs, etc., and requires a grill and skillet. The server generates a list of ingredients and cooking utensils along with a purchase link and sends them to the device. The device presents the recipe information to User B, who can then purchase the necessary items after checking the recipe.

[0358] Prompt Sentence Examples

[0359] Below are some example prompts to input to the generative AI model:

[0360] I'm looking for Mediterranean recipes to help me stay healthy. I have a nut allergy, I love fish, but I hate cheese. I'm also stressed, so I'd like some relaxing food.

[0361] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0362] Step 1: The user boots up the device and starts the application.

[0363] Specifically, a user turns on their smartphone or tablet and taps the app icon on the home screen, which launches the application and displays the login screen and home screen.

[0364] Input: None

[0365] Output: Initial screen of the application

[0366] Step 2: The terminal displays the interface and the user enters data.

[0367] The terminal displays an interface with input fields for dietary goals, preferences, allergy information, diet methods, etc. The user enters data into these fields and presses the submit button.

[0368] Input: User's dietary goals, preferences, allergy information, diet method

[0369] Output: Collecting user input data

[0370] Step 3: The device validates the data and sends it to the server.

[0371] The terminal performs a validation process to check whether the data entered by the user is correct and whether there are any missing or incorrect information. If the validation is successful, the terminal sends the data to the server.

[0372] Input: User-entered data

[0373] Output: Send validated data to the server

[0374] Step 4: The device starts the emotion engine and generates emotion data.

[0375] The device activates the emotion engine, which uses the camera and microphone to capture the user's facial expressions and tone of voice. The emotion engine analyzes this information and determines the user's emotional state (e.g., stress, anxiety, joy), and sends the determined emotion data to the server.

[0376] Input: User facial expressions and tone of voice

[0377] Output: Send emotion data to the server

[0378] Step 5: The server analyzes the received data and selects the optimal recipe.

[0379] The server receives information about dietary goals, preferences, allergies, diet methods, and emotional data sent from the device, and uses this information to search a MySQL database using algorithms written in Python and R to select the optimal recipe.

[0380] Input: dietary goals, preferences, allergy information, diet methods, emotional data

[0381] Output: Selection of optimal recipe

[0382] Step 6: The server generates a list of ingredients and a purchase link and sends it to the device.

[0383] The server generates a list of ingredients and cooking utensils required based on the selected recipe, and then uses Amazon's API to generate purchase links for these ingredients and cooking utensils. The generated information is then sent to the device.

[0384] Input: Selected recipe

[0385] Output: Ingredient list, cooking utensil list, purchase link

[0386] Step 7: The device displays the recipe information and the user confirms it.

[0387] The device displays the recipe information, ingredient list, and purchase link received from the server to the user, who can then confirm the recipe details.

[0388] Input: Recipe information received from the server, ingredient list, purchase link

[0389] Output: Display recipe information

[0390] Step 8: The user clicks on the link to purchase the ingredients and cooking equipment.

[0391] When users click on the purchase link displayed on their device, a browser opens and they are taken to the purchasing site, where they can complete the process of purchasing the ingredients and cooking equipment they want.

[0392] Input: Purchase Link

[0393] Output: Access to purchase site

[0394] The entire system works in this way, suggesting optimal recipes based on the user's input and allowing them to easily purchase the ingredients and cooking equipment needed for those recipes.

[0395] (Application example 2)

[0396] 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."

[0397] The present invention aims to provide optimal recipes by simultaneously considering multiple factors related to a user's diet (dietary goals, preferences, allergy information, diet methods) and their real-time emotional state. Conventional meal recommendation systems do not suggest recipes that take the user's emotional state into account, making it difficult to suggest meals that are appropriate for the user's psychological state. It is also difficult to smoothly order ingredients and cooking utensils based on the suggested recipe and use immediate delivery. There is a need to solve these problems and provide users with more personalized meal suggestions and fast purchasing and delivery services.

[0398] 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 inputting the user's dietary goals, preferences, allergy information, and diet method; means for validating and analyzing the input information; means for searching for optimal recipes based on the dietary goals, preferences, allergy information, and diet method; emotion recognition means for analyzing the user's emotional state in real time; means for utilizing the analyzed emotion data in recipe selection; means for listing the necessary ingredients and cooking utensils based on the searched recipe; means for generating links for purchasing the listed ingredients and cooking utensils; and means for presenting the user with recipe information, the list of ingredients and cooking utensils, and the purchase links. This enables optimal recipes tailored to the user's emotional state and dietary needs to be suggested, enabling the user to quickly purchase the necessary ingredients and cooking utensils and use delivery services.

[0399] "Dietary goal" refers to a specific dietary goal that a user wishes to achieve.

[0400] "Preferences" refers to a user's likes and dislikes and personal preferences regarding food and drink.

[0401] "Allergy Information" refers to information about specific ingredients or substances to which a User has an allergic reaction.

[0402] "Diet Method" refers to a particular dietary restriction or eating strategy or plan adopted by a User.

[0403] "Validation" refers to the process of ensuring that entered information is accurate and complete.

[0404] "Means for analysis" refers to the mechanism for analyzing the input data in detail and extracting meaningful information.

[0405] The "optimal recipe" refers to the cooking method that best suits the user's individual requirements and emotional state.

[0406] "Emotion recognition means" refers to technology or devices for analyzing a user's real-time emotional state.

[0407] "Means for utilizing in recipe selection" refers to a mechanism for utilizing analyzed emotional data in recipe search and selection.

[0408] "Means for listing ingredients and utensils required" refers to the process of creating a list of ingredients and utensils required based on the selected recipe.

[0409] "Link Generation Means" refers to a mechanism that generates online links to enable users to easily purchase the ingredients or cooking equipment they need.

[0410] "Recipe information" refers to detailed data about how to prepare a dish and the ingredients needed.

[0411] "Presentation means" refers to a method or device that visually or physically presents information to a user.

[0412] This system provides optimal recipes by simultaneously considering a user's dietary information and real-time emotional state, and promotes the purchase and delivery of ingredients and cooking utensils. The system consists of a user's device, an emotion recognition engine, a server, and a delivery management system.

[0413] System Configuration

[0414] 1. User Input Processing

[0415] Users use the terminal to input their dietary goals, preferences, allergy information, and diet methods. The terminal validates this input information to check for omissions and errors, and then sends highly accurate data to the server.

[0416] 2. Emotion Engine Processing

[0417] The user device is equipped with an emotion recognition engine that analyzes the user's facial expressions and tone of voice to recognize their real-time emotional state. The technology used can be an existing emotion recognition engine such as "Amazon Rekognition."

[0418] 3. Sending and Receiving Data

[0419] The server receives the dietary information and emotional data sent from the device, analyzes this data, and searches a database for the optimal recipe that matches the user's dietary goals, preferences, allergy information, diet method, and emotional state.

[0420] 4. Recipe suggestions and detailed display

[0421] The server sends the selected recipe information to the terminal and presents it to the user, including a detailed list of the ingredients and cooking utensils required.

[0422] 5. Generate purchase links and delivery options

[0423] Based on the selected recipe, the server generates links to purchase the necessary ingredients and cooking equipment, and uses a delivery management system (such as the Uber Eats API) to check whether the suggested recipe is available for delivery and present delivery options to the user.

[0424] Specific examples

[0425] Consider a scenario where user "B" launches an application and searches for Mediterranean recipes aimed at maintaining health. User "B" has a nut allergy, dislikes cheese, and likes fish dishes. User "B" is also currently feeling stressed and would like a relaxing meal. The emotion engine analyzes User "B's" emotional state and detects stress. The device sends this information to the server, which then selects the most suitable recipe. For example, a recipe called "Grilled Salmon with Lemon Herb Sauce" is selected. This recipe requires salmon, lemon, herbs, a grill, and a skillet. The server generates a list of ingredients and cooking utensils and sends a purchase link and delivery options to the device. The device presents this information to User "B," allowing User "B" to quickly purchase and have the food delivered.

[0426] Examples of prompt statements

[0427] "I'm on a diet and have a nut allergy. I'm feeling stressed right now, so can you recommend some recipes that will help me reduce stress?"

[0428] The system allows users to receive personalized recipe suggestions that match their emotional state and dietary needs, conveniently purchase the necessary ingredients and cooking equipment, and use delivery services.

[0429] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0430] Step 1:

[0431] The user starts the terminal and starts the application. The user inputs their dietary goals, preferences, allergy information, and diet method. The terminal validates this input data and checks for omissions and errors. At this time, the terminal sends the correctly entered data to the server. The input is information about dietary goals, preferences, allergy information, and diet method, and the output is the validated information.

[0432] Step 2:

[0433] The emotion recognition engine installed on the device analyzes the user's facial expressions and tone of voice to recognize their real-time emotional state. The emotion recognition engine uses, for example, Amazon Rekognition. The input is the user's facial image and voice data, and the output is their emotional state (e.g., joy, stress, anxiety, etc.). The device sends this emotional data to a server.

[0434] Step 3:

[0435] The server receives the user's dietary goals, preferences, allergy information, diet methods, and emotional data sent from the device and analyzes this data. The input is user information and emotional data, and the output is the analysis results. The server searches the recipe database based on these analysis results and selects the optimal recipe.

[0436] Step 4:

[0437] The server creates a list of ingredients and utensils required based on the selected recipe. The input is the selected recipe information, and the output is the list of ingredients and utensils. The server also generates links to purchase the listed ingredients and utensils.

[0438] Step 5:

[0439] The server sends the generated recipe information, a list of ingredients and cooking utensils, and a purchase link to the terminal. The input is the list and link generation results, and the output is data for the user to confirm.

[0440] Step 6:

[0441] The device displays the submitted recipe information, a list of ingredients and utensils, and a purchase link to the user. The input is data from the server, and the output is the display information for the user to review. The user reviews the suggested recipe and purchases the necessary ingredients and utensils within the application.

[0442] Step 7:

[0443] The user clicks on the displayed purchase link to purchase the necessary ingredients and cooking equipment. The input is the purchase link, and the output is confirmation of purchase completion. A delivery management system (e.g., Uber Eats API) is used to check whether the selected meal is available for delivery and provide delivery options.

[0444] Each step processes the entire system, suggesting recipes that best suit the user's emotional state and dietary needs, allowing them to conveniently purchase ingredients and cooking equipment, and enjoy fast delivery services.

[0445] 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.

[0446] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (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.

[0447] 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.

[0448] [Second embodiment]

[0449] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0450] 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.

[0451] 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).

[0452] 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.

[0453] 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.

[0454] 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).

[0455] 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.

[0456] 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.

[0457] 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.

[0458] 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.

[0459] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0460] 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."

[0461] The present invention is a system that proposes optimal recipes based on a user's individual dietary goals, preferences, allergy information, and diet method, and allows the user to easily purchase the ingredients and cooking utensils required for those recipes. The processing of the system's program is explained below in natural language.

[0462] 1. User Input Processing

[0463] Device:

[0464] When a user launches the application, an interface appears, allowing the user to enter their dietary goals, food preferences, allergy information, and diet method. After the user enters this information, the device validates the input data to ensure there are no missing or incorrect information. Correctly entered data is sent to the server.

[0465] 2. Sending and Receiving Data

[0466] server:

[0467] The server receives user data sent from the device. The server analyzes the received data and searches a recipe database based on the user's dietary goals, preferences, allergy information, and diet method. The server uses an algorithm to select the optimal recipe. The server lists the ingredients and cooking utensils required for the selected recipe and generates a link to purchase them. The generated recipe information, ingredient list, and purchase link are sent to the device.

[0468] 3. Recipe suggestions and presentation to users

[0469] Device:

[0470] The server sends recipe information, an ingredient list, and a purchase link to the user, allowing the user to review the suggested recipe and purchase the necessary ingredients and cooking equipment within the application.

[0471] user:

[0472] Users can find recipes that are best suited to their dietary goals, preferences, allergies, and dietary needs, then cook the meal according to the recipe and click links to purchase the ingredients and cooking equipment they need, completing the online purchase process.

[0473] Specific examples

[0474] User "A" is looking for recipes based on the Mediterranean diet in order to stay healthy. He has a nut allergy, likes fish dishes, and dislikes cheese. User A launches the application and enters this information (staying healthy, likes fish dishes, nut allergy, dislikes cheese, Mediterranean diet). The device sends this data to the server. The server analyzes the received data and filters recipes that match the criteria from an external recipe database. The server then selects the recipe "Grilled Salmon with Lemon Herb Sauce." Since this recipe requires salmon, lemon, herbs, a grill, and a skillet, the server generates a list of these ingredients and cooking utensils, along with links to purchase them, and sends them to the device. The device presents this information to User A, who can then purchase the necessary ingredients and cooking utensils after checking the recipe.

[0475] Effect of the invention

[0476] This system allows users to easily find recipes that best suit their dietary goals, preferences, allergies, and diet methods, and also allows them to purchase the ingredients and cooking equipment they need in one go within the app, greatly improving user convenience.

[0477] The processing flow will be explained below.

[0478] Program processing details

[0479] 1. User Input Processing

[0480] Step 1:

[0481] The user starts a terminal and starts an application, which displays an input form.

[0482] Step 2:

[0483] The user enters their dietary goals (e.g., maintaining good health), preferences (e.g., likes fish dishes, dislikes cheese), allergy information (e.g., nut allergy), and diet method (e.g., Mediterranean diet).

[0484] Step 3:

[0485] The device validates the input data to ensure all required fields are entered correctly, for example, checking that dietary goals and allergy information are included.

[0486] Step 4:

[0487] If the validation is successful, the terminal transmits the entered data to the server.

[0488] 2. Sending and Receiving Data

[0489] Step 5:

[0490] The server receives the data sent from the terminal and begins analyzing it.

[0491] Step 6:

[0492] Based on the data analyzed by the server, the recipe database is searched to select the most suitable recipe, taking into consideration dietary goals, preferences, allergy information, and diet methods.

[0493] Step 7:

[0494] The server filters the search results to find multiple recipes that match the criteria, and an algorithm selects the recipe that best suits the user's criteria.

[0495] 3. Recipe suggestions and presentation to users

[0496] Step 8:

[0497] The server lists the ingredients (e.g., salmon, lemon, herbs) and cooking equipment (e.g., grill, skillet) required for the selected recipe and generates a purchase link based on the list.

[0498] Step 9:

[0499] The server sends the generated recipe information, ingredient list, and purchase link to the terminal.

[0500] Step 10:

[0501] The device displays the recipe information, ingredients list, and purchase link to the user.

[0502] 4. Check the recipe and purchase

[0503] Step 11:

[0504] The user reviews the displayed recipe (e.g., Grilled Salmon with Lemon Herb Sauce).

[0505] Step 12:

[0506] The user clicks on the purchase link provided to purchase the ingredients and cooking equipment they need.

[0507] Specific examples

[0508] User "A" is looking for recipes based on the Mediterranean diet in order to maintain good health. He has a nut allergy, likes fish dishes, and dislikes cheese. User A starts the application and enters information about maintaining good health, liking fish dishes, allergy to nuts, dislikes cheese, and the Mediterranean diet. The device validates this data and sends it to the server. The server analyzes the received data and selects the optimal recipe. The server selects the recipe "Grilled salmon with lemon herb sauce," generates a list of the necessary ingredients and utensils, and a purchase link, and sends them to the device. The device presents the recipe information to User A, who then checks the recipe and purchases the necessary items.

[0509] This process allows users to easily find recipes that fit their needs and quickly purchase the ingredients and cooking equipment they need.

[0510] Example 1

[0511] 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."

[0512] To address today's diverse dietary habits and individual health needs, systems that suggest optimal recipes based on users' dietary goals, preferences, allergy information, and diet methods are needed. However, many such systems struggle to provide personalized suggestions based on detailed user information. Furthermore, there is a lack of systems that allow users to easily purchase the ingredients and cooking equipment needed for the suggested recipes, preventing consistent user convenience.

[0513] 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.

[0514] In this invention, the server includes means for inputting a user's dietary goals, preferences, allergy information, and diet method, means for validating and analyzing the input information, means for transmitting the input information to the server, means for searching for and selecting an optimal recipe based on the user's dietary goals, preferences, allergy information, and diet method on the server, means for listing necessary ingredients and cooking utensils based on the searched and selected recipe, means for generating links for purchasing the listed ingredients and cooking utensils, and means for presenting the generated recipe information, list of ingredients and cooking utensils, and purchase links to the user. This enables users to easily find recipes that meet their specific dietary needs and purchase the ingredients and cooking utensils required for those recipes all at once.

[0515] A "user" is an individual or organization that uses the system and inputs information such as dietary goals, preferences, allergy information, and diet methods.

[0516] A "dietary goal" is a dietary goal that a user wants to achieve, such as losing weight or staying healthy.

[0517] "Preferences" refers to information about individual preferences, such as the types of ingredients and dishes that a user likes, or the types of ingredients and dishes that a user does not like to eat.

[0518] "Allergy Information" is information about foods to which the user has an allergic reaction, and is a list of foods that should be avoided to protect the user's health.

[0519] "Diet Method" refers to the specific dietary restrictions or eating habits adopted by the user, such as a keto diet or Mediterranean diet.

[0520] "Input means" refers to an interface and device that allows a user to input information such as dietary goals, preferences, allergy information, and diet methods into the system.

[0521] "Validation" is the process of ensuring that the data entered by the user is accurate and complete.

[0522] "Means of analysis" refers to algorithms or software that analyze users' conditions and needs based on input information.

[0523] "Means of transmission" refers to the communication protocols and functions for sending user input data from the terminal to the server.

[0524] "Search and selection means" refers to algorithms or systems that search for and select the best recipes from a database that meet the user's requirements.

[0525] The "listing means" is a function or device that creates a list of necessary ingredients and cooking utensils based on the selected recipe.

[0526] "Links to Purchase" are the URLs or hyperlinks necessary to purchase the listed ingredients or cooking equipment online.

[0527] The "presentation means" refers to an interface or device that displays the generated recipe information, list of ingredients and cooking utensils, and purchase links in an easy-to-view format for the user.

[0528] A "generative AI model" is an artificial intelligence algorithm or learning model used to suggest optimal recipes based on a user's preferences and conditions.

[0529] This invention is a system that suggests optimal recipes based on a user's individual dietary goals, preferences, allergy information, and diet methods, and allows the user to easily purchase the ingredients and cooking utensils required for those recipes.

[0530] 1. User Input Processing

[0531] Device:

[0532] When a user launches the application, an interface appears where they can enter their dietary goals, preferences, allergy information, and diet method. The device validates the entered information to ensure there are no missing or incorrect information. Specifically, validation includes front-end validation using JavaScript, for example. Correctly entered data is sent to the server.

[0533] 2. Data transmission

[0534] Device:

[0535] The device uses a secure protocol (e.g., HTTPS) to transmit the validated data to the server, where the transmitted data is user profile information such as dietary goals, preferences, allergy information, and diet methods.

[0536] 3. Data Receipt and Analysis

[0537] server:

[0538] The server receives user data sent from the device, stores it in a database system (e.g., MySQL or PostgreSQL), and runs algorithms to analyze the user's dietary goals, preferences, allergy information, and diet methods. This analysis involves data analysis techniques using languages ​​such as Python and R.

[0539] 4. Selection of the optimal recipe

[0540] server:

[0541] Based on the analysis results, a recipe database (such as MongoDB or Firebase) is searched. Candidate recipes that meet the user's criteria are listed, and the optimal recipe is selected using weighting and scoring of multiple criteria. A generative AI model can then be used to make personalized recipe suggestions based on the user's preferences and criteria.

[0542] 5. Generating recipe information and links

[0543] server:

[0544] The system extracts the details of the selected recipe and generates a list of the ingredients and utensils required. This process processes the data retrieved from the recipe database and formats it into a user-friendly format. It also generates links to purchase the listed ingredients and utensils and sends the data to the device.

[0545] 6. Receiving and displaying recipe information

[0546] Device:

[0547] Receive the recipe information, ingredients list, and purchase link sent from the server. Display this information in the application interface, presenting it in a user-friendly format. For example, this can be achieved using a modern front-end framework such as React or Vue.js.

[0548] 7. User Actions

[0549] user:

[0550] The user reviews the displayed recipe information, ingredient list, and purchase links. If necessary, they click on links to purchase ingredients and cooking equipment and complete the online checkout process. This completes the process and the user can begin cooking according to the suggested recipe.

[0551] Specific examples

[0552] User "A" is looking for recipes based on the Mediterranean diet in order to stay healthy. He has a nut allergy, likes fish dishes, and dislikes cheese. User A launches the application and enters this information (staying healthy, likes fish dishes, nut allergy, dislikes cheese, Mediterranean diet). The device correctly validates this data and sends it to the server. The server analyzes the received data and selects an appropriate recipe. In this case, the recipe "Grilled Salmon with Lemon Herb Sauce" is selected. The server generates a list of ingredients (salmon, lemon, herbs) and cooking equipment (grill pan) required for this recipe and sends a link to purchase them to the device. The device presents this information to User A, who can then purchase the necessary ingredients and cooking equipment and cook the dish according to the suggested recipe.

[0553] Prompt Sentence Examples

[0554] "Please suggest some Mediterranean recipes aimed at maintaining good health that are suitable for people with nut allergies."

[0555] "We're looking for recipes that are perfect for people who love fish but don't like cheese."

[0556] This way, users can easily find the perfect recipe that meets their specific dietary needs and purchase the ingredients and cooking equipment needed for that recipe all in one place.

[0557] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0558] Step 1: Process User Input

[0559] Device:

[0560] When a user launches the application, an interface is displayed for entering dietary goals, preferences, allergy information, and diet methods. The user enters this information into a form. The form incorporates mandatory field checks and input format checks to validate that there are no missing or error information. If the input data passes validation, it is sent to the server.

[0561] Input: User's dietary goals, preferences, allergy information, diet method

[0562] Output: Data that has passed validation (dietary goals, preferences, allergy information, diet methods)

[0563] Step 2: Sending data

[0564] Device:

[0565] Once the user data has passed validation, it is sent to the server using a secure protocol (e.g. HTTPS), where the data is encrypted to ensure that it is transmitted securely.

[0566] Input: Validated user data

[0567] Output: User data sent to the server

[0568] Step 3: Receiving and storing data

[0569] server:

[0570] Receives user data sent from the device. The received data is stored in a database system (e.g., MySQL or PostgreSQL). The stored data is used for subsequent analysis processing.

[0571] Input: User data sent from the device

[0572] Output: User data stored in the database

[0573] Step 4: Data analysis

[0574] server:

[0575] The stored user data is analyzed using Python and R, and algorithms are applied to extract suitable recipe candidates based on the user's dietary goals, preferences, allergies, and diet methods. The criteria are weighted and scored to select the recipe that best matches the user's criteria.

[0576] Input: User data stored in the database

[0577] Output: A list of suitable recipe candidates

[0578] Step 5: Selecting the optimal recipe

[0579] server:

[0580] Using a generative AI model based on the analysis results, the system selects recipes that best fit the user's preferences and conditions. The model is trained based on past data and feedback from other users, enabling highly accurate recipe suggestions. The selected recipes include information on the necessary ingredients and cooking utensils.

[0581] Input: Recipe candidate list

[0582] Output: Optimized recipe and information on ingredients and cooking equipment required

[0583] Step 6: Generate a purchase link

[0584] server:

[0585] Based on the selected recipe, a link to purchase the necessary ingredients and cooking equipment is generated. The link is generated using the API of the online shopping site and is set up to directly access the purchase page for each item.

[0586] Input: Your best recipe and the ingredients and equipment you need

[0587] Output: A list of ingredients and cooking equipment with purchase links

[0588] Step 7: Receiving and displaying recipe information

[0589] Device:

[0590] The system receives the best recipe information, ingredient list, and purchase link sent from the server, and displays the received information in a user interface so that users can easily check it. Modern front-end frameworks such as React and Vue.js are used for display.

[0591] Input: Recipe information, ingredients list, and purchase link sent from the server

[0592] Output: Information displayed in the user interface

[0593] Step 8: User Actions

[0594] user:

[0595] The user reviews the recipe information, ingredients list, and purchase link displayed, and if necessary, clicks the link to complete the online purchase. After completing the purchase, the user begins cooking according to the suggested recipe.

[0596] Input: Information displayed in the user interface

[0597] Output: Checkout online and start cooking

[0598] (Application example 1)

[0599] 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."

[0600] Today's consumers are becoming increasingly health-conscious, and are increasingly seeking dietary management, diet options, and meals that meet their allergies and preferences. However, many food delivery services are unable to fully address these individual needs. As a result, consumers have to take the trouble of managing their own meals, which is a major challenge, especially for those who are short on time. It also increases the hassle of having to purchase ingredients and cooking equipment separately.

[0601] 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.

[0602] In this invention, the server includes means for inputting a user's dietary goals, preferences, allergy information, and diet method, means for validating and analyzing the input information, means for searching for optimal recipes based on the dietary goals, preferences, allergy information, and diet method, means for listing ingredients and cooking utensils based on the searched recipe, means for generating links for purchasing the listed ingredients and cooking utensils, means for presenting the recipe information, the list of ingredients and cooking utensils, and the purchase links to the user, means for enabling ordering of food based on the recipe information, and means for suggesting optimal recipes to the user using a generative AI model. This enables users to easily find optimal meals that fit their lifestyle and health goals, purchase the necessary ingredients and utensils, and even directly order the food.

[0603] "User" refers to a person who uses the system to input dietary goals, preferences, allergy information, diet methods, etc.

[0604] "Dietary Goal" means a specific dietary goal that a User wishes to achieve (e.g., weight loss, muscle building, health maintenance, etc.).

[0605] "Preferences" refers to the types of ingredients and dishes that a user prefers.

[0606] "Allergy Information" refers to information about food allergies that a User has.

[0607] "Diet" refers to a particular diet or nutritional regimen (e.g., ketogenic, Mediterranean, etc.) adopted by a User.

[0608] "Validation" refers to the process of ensuring that entered data is accurate and complete.

[0609] "Analysis" refers to the process of using input data to make suggestions and choices that best suit the user's needs.

[0610] "Optimal recipes" refer to recipes selected based on the user's dietary goals, preferences, allergy information, and diet method.

[0611] "Listing" refers to making a list of the ingredients and cooking utensils needed based on the selected recipe.

[0612] "Purchase Link" means a link that enables a User to purchase the listed ingredients and cooking equipment online.

[0613] "Recipe information" refers to detailed information about the specific cooking method and the ingredients and equipment required.

[0614] "Ordering food" refers to the act of a user actually ordering food through a delivery service based on a suggested recipe.

[0615] "Generative AI model" refers to a machine learning model used to analyze user input data and suggest optimal recipes.

[0616] In order to implement the present invention, it is necessary to construct the following system.

[0617] Hardware Configuration

[0618] User device: A device on which users input their dietary goals, preferences, allergy information, and diet methods. This includes smartphones, tablets, and PCs.

[0619] Server: A centralized device that analyzes input user information and selects the optimal recipe. It connects to a database and processes data in real time.

[0620] Food delivery platform: A system for ordering and delivering actual food based on suggested recipes.

[0621] Software Configuration

[0622] 1. User information validation and submission processing:

[0623] Front-end: Create input forms using modern JavaScript frameworks such as React or Vue.js.

[0624] Backend: Use a web framework such as Flask or Django to implement validation logic and information submission functionality.

[0625] 2. Data analysis and recipe selection:

[0626] Analytics engine: A Python-based analytics engine that leverages generative AI models (e.g., GPT-3) to analyze data.

[0627] Recipe database: Use a SQL or NoSQL database (e.g., MySQL, MongoDB) to store multiple recipes.

[0628] 3. Proposal and order link generation:

[0629] Link Generation System: Contains the logic to generate links that allow users to easily purchase ingredients and cooking equipment.

[0630] 4. User Interface:

[0631] Application UI: Provides an interface for users to browse suitable recipes, purchase ingredients and cooking equipment, and order meals.

[0632] Specific system processing example

[0633] 1. User input processing:

[0634] The user launches the application and enters their dietary goals (e.g., weight loss), preferences (e.g., preference for fish dishes), allergy information (e.g., nut allergy), and diet method (e.g., Mediterranean diet) into the interface.

[0635] Example: "I'm looking for Mediterranean recipes to help me stay healthy. I have a nut allergy, I like fish dishes, and I don't like cheese."

[0636] 2. Data transmission and analysis:

[0637] The server analyzes the received user information, searches the recipe database, and selects the optimal recipe. The analysis is performed using a generative AI model (e.g., OpenAI GPT-3).

[0638] Example sentence: "Dietary goal: Maintain good health, Preferences: Likes fish dishes, Allergy information: Allergy to nuts, Diet method: Please suggest the best recipes based on the Mediterranean diet."

[0639] 3. Recipe suggestions and purchase link generation:

[0640] The server sends the selected recipe information to the user's device, and the user can view the suggested recipes in the interface, and is provided with links to purchase the necessary ingredients and cooking equipment.

[0641] Example: "The perfect recipe for you is Grilled Salmon with Lemon and Herb Sauce. Ingredients: Salmon, lemon, and herbs. Equipment: Grill, skillet."

[0642] 4. Food Ordering:

[0643] A means is provided for users to order food based on suggested recipes.

[0644] Example: "To order this dish, click on this link."

[0645] This allows users to easily find, shop and order the best meals that fit their lifestyle and health goals.

[0646] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0647] Step 1:

[0648] The user uses the device to input their dietary goals, preferences, allergy information, and diet method.

[0649] Input: dietary goals, preferences, allergy information, diet method

[0650] Data processing: Validating the entered information

[0651] Output: Validated user information

[0652] Step 2:

[0653] The device sends the validated user information to the server.

[0654] Input: Validated user information

[0655] Data calculation: information transmission processing

[0656] Output: User information received by the server

[0657] Step 3:

[0658] The server analyzes user information and uses a generative AI model (e.g., GPT-3) to find the best recipe.

[0659] Input: User information

[0660] Data Computing: Analysis and Recipe Search Using Generative AI Models

[0661] Output: Optimal recipe information

[0662] Step 4:

[0663] The server lists the ingredients and cooking equipment needed for the best recipe and generates links to purchase them.

[0664] Input: Optimal recipe information

[0665] Data calculation: Listing ingredients and cooking utensils, generating purchase links

[0666] Output: Ingredient list, cooking utensil list, purchase link

[0667] Step 5:

[0668] The server sends the generated recipe information, ingredient list, cooking utensil list, and purchase link to the terminal and presents them to the user.

[0669] Input: Recipe information, ingredients list, cooking equipment list, purchase link

[0670] Data calculation: information transmission processing

[0671] Output: Information to present to the user

[0672] Step 6:

[0673] Users can check the optimal recipes presented on their device and purchase the necessary ingredients and cooking equipment within the application.

[0674] Input: Recipe information, ingredients list, cooking equipment list, purchase link

[0675] Data processing: User verification and purchase processing

[0676] Output: Purchased ingredients and cooking equipment

[0677] Step 7:

[0678] Users order food based on suggested recipes.

[0679] Input: Recipe information, food ordering link

[0680] Data processing: food order processing

[0681] Output: Ordered food

[0682] 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.

[0683] Program processing details

[0684] 1. User Input Processing

[0685] The user starts the device and launches the application. The interface is displayed, and the user enters their dietary goals, food preferences, allergy information, and diet method. The device then validates the input data to ensure there are no omissions or errors. Correctly entered data is then sent to the server.

[0686] 2. Emotion Engine Processing

[0687] The device has an emotion engine that recognizes emotions from the user's facial expressions, tone of voice, text input, etc. The emotion engine analyzes the user's real-time emotional state and determines whether it is joy, stress, anxiety, etc.

[0688] 3. Sending and Receiving Data

[0689] The server receives the data sent from the device and begins analysis. It also receives emotional data from the emotion engine. Using this data, the server searches the recipe database based on the user's dietary goals, preferences, allergy information, diet method, and emotional state. The server uses an algorithm to select the optimal recipe, list the necessary ingredients and cooking utensils, and generate a purchase link based on the list. The generated recipe information, ingredient list, and purchase link are sent to the device.

[0690] 4. Recipe suggestions and presentation to users

[0691] The device will display the recipe information, ingredients list, and purchase link to the user, who can then review the suggested recipe and purchase the necessary ingredients and utensils within the app.

[0692] 5. Check the recipe and purchase

[0693] The user reviews the displayed recipe (e.g., Grilled Salmon with Lemon Herb Sauce). The user clicks on the displayed purchase link to purchase the necessary ingredients and cooking equipment.

[0694] Specific examples

[0695] User "B" is looking for recipes based on the Mediterranean diet to stay healthy. User B is feeling stressed and wants to eat something that will help him relax. He has a nut allergy, likes fish dishes, and dislikes cheese. User B launches the application and enters information about staying healthy, liking fish dishes, allergy to nuts, dislikes cheese, and the Mediterranean diet. The emotion engine then analyzes User B's emotional state and detects stress. The device sends this data to the server. The server analyzes the received data and selects the optimal recipe. For example, a recipe called "Grilled Salmon with Lemon Herb Sauce" is selected. This recipe requires salmon, lemon, herbs, a grill, and a skillet. The server generates a list of the ingredients and cooking utensils, along with a purchase link, and sends this to the device. The device presents the recipe information to User B, who then checks the recipe and purchases the necessary items.

[0696] This process allows users to easily retrieve recipes that fit their emotional state and dietary needs, and quickly purchase the necessary ingredients and cooking equipment.

[0697] The processing flow will be explained below.

[0698] Program processing details

[0699] 1. User Input Processing

[0700] Step 1:

[0701] The user starts a terminal and starts an application, which displays an input form.

[0702] Step 2:

[0703] The user enters their dietary goals (e.g., maintaining good health), preferences (e.g., likes fish dishes, dislikes cheese), allergy information (e.g., nut allergy), and diet method (e.g., Mediterranean diet).

[0704] Step 3:

[0705] The device validates the input data to ensure all required fields are entered correctly, for example, checking that dietary goals and allergy information are included.

[0706] Step 4:

[0707] If the validation is successful, the terminal transmits the entered data to the server.

[0708] 2. Emotion Engine Processing

[0709] Step 5:

[0710] The device activates an emotion engine that recognizes emotions from the user's facial expressions, tone of voice, text input, etc.

[0711] Step 6:

[0712] The emotion engine analyzes the user's emotional state and determines whether it is joy, stress, anxiety, etc.

[0713] Step 7:

[0714] The emotion engine sends the analysis results to the terminal, and the terminal then sends the data to the server.

[0715] 3. Sending and Receiving Data

[0716] Step 8:

[0717] The server receives the data (dietary goals, preferences, allergy information, diet methods, and emotional data) sent from the terminal.

[0718] Step 9:

[0719] The server analyzes the received data and searches a recipe database based on dietary goals, preferences, allergy information, dietary methods, and emotional state.

[0720] Step 10:

[0721] The server filters the search results to find multiple recipes that match the criteria, and an algorithm selects the recipe that best suits the user's criteria.

[0722] 4. Recipe suggestions and presentation to users

[0723] Step 11:

[0724] The server lists the ingredients (e.g., salmon, lemon, herbs) and cooking equipment (e.g., grill, skillet) required for the selected recipe and generates a purchase link based on the list.

[0725] Step 12:

[0726] The server sends the generated recipe information, ingredient list, and purchase link to the terminal.

[0727] Step 13:

[0728] The device displays the recipe information, ingredients list, and purchase link to the user.

[0729] 5. Check the recipe and purchase

[0730] Step 14:

[0731] The user reviews the displayed recipe (e.g., Grilled Salmon with Lemon Herb Sauce).

[0732] Step 15:

[0733] The user clicks on the purchase link provided to purchase the ingredients and cooking equipment they need.

[0734] Specific examples

[0735] User "B" is looking for Mediterranean-based recipes to stay healthy. He is stressed and wants to find a relaxing dish. He has a nut allergy, likes fish dishes, and dislikes cheese.

[0736] Step 1:

[0737] User B launches the application and enters information about staying healthy, liking fish dishes, having a nut allergy, disliking cheese, and following a Mediterranean diet.

[0738] Step 2:

[0739] The terminal validates the input data and sends it to the server.

[0740] Step 3:

[0741] The device activates an emotion engine and analyzes User B's stress level from his / her facial expressions and tone of voice.

[0742] Step 4:

[0743] The emotion engine transmits the emotion data to the terminal, and the terminal transmits the data to the server.

[0744] Step 5:

[0745] The server receives the data, analyzes it, and selects the optimal recipe (e.g., grilled salmon with lemon herb sauce).

[0746] Step 6:

[0747] The server generates a list of the necessary ingredients and cooking equipment along with a purchase link and sends it to the device.

[0748] Step 7:

[0749] The device presents User B with recipe information and a purchase link.

[0750] Step 8:

[0751] User B checks the recipe and purchases the necessary items.

[0752] This process allows User B to obtain recipes that fit their emotional state and dietary needs, and quickly purchase the necessary ingredients and cooking equipment.

[0753] Example 2

[0754] 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."

[0755] Conventional recipe suggestion systems typically provide recipes based on the user's dietary goals, preferences, allergy information, and diet methods, but do not consider the user's emotional state. This makes it difficult to select recipes that reflect the user's emotions, making it difficult to provide an optimal dining experience. Furthermore, selecting recipes without considering the user's emotional state can cause stress and anxiety, resulting in reduced satisfaction.

[0756] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for inputting the user's dietary goals, preferences, allergy information, and diet method, means for validating and analyzing the input information, means including an emotion engine for recognizing and analyzing the user's emotions, and means for searching for optimal recipes based on the user's dietary goals, preferences, allergy information, diet method, and emotional state. This makes it possible to suggest recipes taking into consideration the user's real-time emotional state in addition to their dietary goals, preferences, allergy information, and diet method.

[0757] A "user" is an entity that uses this system to input their dietary goals, preferences, allergy information, and diet methods, and receives recipe suggestions.

[0758] "Terminal" means a device used to provide user input and display recipe information and other related information.

[0759] The "server" is the part of the system that receives the data sent from the device and searches for the best recipe based on dietary goals, preferences, allergy information, dietary methods and emotional state.

[0760] "Dietary goal" refers to a dietary goal that a user wishes to achieve, such as maintaining good health or losing weight.

[0761] "Preferences" refers to the type or style of food a user prefers.

[0762] "Allergy information" refers to information about a user's allergies to specific ingredients.

[0763] "Diet Method" means a particular diet method or plan that a User is following or intends to follow.

[0764] "Validation" is the process of checking whether the data entered by the user is correct and whether there are any omissions or errors.

[0765] The "Emotion Engine" is a function that analyzes a user's emotional state in real time based on facial expressions, tone of voice, text input, etc.

[0766] "Emotional state" refers to the psychological state a user is feeling, such as joy, stress, or anxiety.

[0767] A "recipe" is information that includes instructions and a list of ingredients needed to prepare a particular dish.

[0768] "Listing" is the act of listing the ingredients and cooking utensils needed based on specific conditions.

[0769] "Link" means a URL that a user can click to go to a specific web page or purchasing site.

[0770] "Search" is the process of identifying the best recipe from the database based on the user's input information and emotional state.

[0771] "Presenting" is the act of displaying information (recipe information, ingredient list, purchase link, etc.) to the user.

[0772] This invention is a system that provides optimal recipes based on a user's dietary goals, preferences, allergy information, diet method, and emotional state. The system consists of a terminal and a server, and operates by combining a user interface, an emotion recognition engine, a recipe database, and algorithms.

[0773] First, the user starts the device and launches a dedicated application. The device then displays an interface that prompts the user to enter various information. The user enters their dietary goals, preferences, allergy information, and diet method. For example, they can enter information such as "maintaining good health," "likes fish dishes," "nut allergy," and "Mediterranean diet." The entered data is validated on the device to ensure there are no omissions or errors. Data that has been entered correctly is then sent to the server.

[0774] The device then activates an emotion engine to analyze the user's facial expressions and tone of voice. The emotion engine uses technologies such as OpenFace and Microsoft Azure's emotion recognition API to analyze the user's real-time emotional state, capturing emotions such as stress, anxiety, and joy, and sends the data to a server.

[0775] The server receives the user's dietary goals, preferences, allergy information, diet methods, and emotional data from the device. Using this data, the server uses algorithms written in Python and R to search a recipe database stored in a MySQL database. For example, based on keywords such as "Mediterranean diet," "stress reduction," and "fish dishes," the server selects the optimal recipe, such as "grilled salmon with lemon herb sauce."

[0776] Based on the selected recipe, the server generates a list of ingredients and cooking equipment needed. The ingredients include salmon, lemon, herbs, etc., and cooking equipment includes a grill and skillet. The server uses Amazon's API to generate purchase links for the ingredients and cooking equipment. The generated recipe information, ingredient list, and purchase links are sent to the device.

[0777] The device displays the recipe information, ingredient list, and purchase link to the user. The user can review this information and, if necessary, purchase ingredients and cooking equipment within the app. This allows users to easily obtain recipes that suit their emotional state and dietary needs, and quickly purchase the necessary ingredients and tools.

[0778] Specific examples

[0779] For example, user "B" is looking for recipes based on the Mediterranean diet to stay healthy. User B is feeling stressed and wants to eat something that will help him relax. He has a nut allergy, likes fish dishes, and dislikes cheese. User B launches the application and enters information about staying healthy, liking fish dishes, allergy to nuts, dislikes cheese, and the Mediterranean diet. The emotion engine also analyzes User B's emotional state and detects stress. The device sends this data to the server. The server analyzes the data and selects the optimal recipe. For example, a recipe called "Grilled Salmon with Lemon Herb Sauce" is selected. This recipe includes salmon, lemon, herbs, etc., and requires a grill and skillet. The server generates a list of ingredients and cooking utensils along with a purchase link and sends them to the device. The device presents the recipe information to User B, who can then purchase the necessary items after checking the recipe.

[0780] Prompt Sentence Examples

[0781] Below are some example prompts to input to the generative AI model:

[0782] I'm looking for Mediterranean recipes to help me stay healthy. I have a nut allergy, I love fish, but I hate cheese. I'm also stressed, so I'd like some relaxing food.

[0783] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0784] Step 1: The user boots up the device and starts the application.

[0785] Specifically, a user turns on their smartphone or tablet and taps the app icon on the home screen, which launches the application and displays the login screen and home screen.

[0786] Input: None

[0787] Output: Initial screen of the application

[0788] Step 2: The terminal displays the interface and the user enters data.

[0789] The terminal displays an interface with input fields for dietary goals, preferences, allergy information, diet methods, etc. The user enters data into these fields and presses the submit button.

[0790] Input: User's dietary goals, preferences, allergy information, diet method

[0791] Output: Collecting user input data

[0792] Step 3: The device validates the data and sends it to the server.

[0793] The terminal performs a validation process to check whether the data entered by the user is correct and whether there are any missing or incorrect information. If the validation is successful, the terminal sends the data to the server.

[0794] Input: User-entered data

[0795] Output: Send validated data to the server

[0796] Step 4: The device starts the emotion engine and generates emotion data.

[0797] The device activates the emotion engine, which uses the camera and microphone to capture the user's facial expressions and tone of voice. The emotion engine analyzes this information and determines the user's emotional state (e.g., stress, anxiety, joy), and sends the determined emotion data to the server.

[0798] Input: User facial expressions and tone of voice

[0799] Output: Send emotion data to the server

[0800] Step 5: The server analyzes the received data and selects the optimal recipe.

[0801] The server receives information about dietary goals, preferences, allergies, diet methods, and emotional data sent from the device, and uses this information to search a MySQL database using algorithms written in Python and R to select the optimal recipe.

[0802] Input: dietary goals, preferences, allergy information, diet methods, emotional data

[0803] Output: Selection of optimal recipe

[0804] Step 6: The server generates a list of ingredients and a purchase link and sends it to the device.

[0805] The server generates a list of ingredients and cooking utensils required based on the selected recipe, and then uses Amazon's API to generate purchase links for these ingredients and cooking utensils. The generated information is then sent to the device.

[0806] Input: Selected recipe

[0807] Output: Ingredient list, cooking utensil list, purchase link

[0808] Step 7: The device displays the recipe information and the user confirms it.

[0809] The device displays the recipe information, ingredient list, and purchase link received from the server to the user, who can then confirm the recipe details.

[0810] Input: Recipe information received from the server, ingredient list, purchase link

[0811] Output: Display recipe information

[0812] Step 8: The user clicks on the link to purchase the ingredients and cooking equipment.

[0813] When users click on the purchase link displayed on their device, a browser opens and they are taken to the purchasing site, where they can complete the process of purchasing the ingredients and cooking equipment they want.

[0814] Input: Purchase Link

[0815] Output: Access to purchase site

[0816] The entire system works in this way, suggesting optimal recipes based on the user's input and allowing them to easily purchase the ingredients and cooking equipment needed for those recipes.

[0817] (Application example 2)

[0818] 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."

[0819] The present invention aims to provide optimal recipes by simultaneously considering multiple factors related to a user's diet (dietary goals, preferences, allergy information, diet methods) and their real-time emotional state. Conventional meal recommendation systems do not suggest recipes that take the user's emotional state into account, making it difficult to suggest meals that are appropriate for the user's psychological state. It is also difficult to smoothly order ingredients and cooking utensils based on the suggested recipe and use immediate delivery. There is a need to solve these problems and provide users with more personalized meal suggestions and fast purchasing and delivery services.

[0820] 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 inputting the user's dietary goals, preferences, allergy information, and diet method; means for validating and analyzing the input information; means for searching for optimal recipes based on the dietary goals, preferences, allergy information, and diet method; emotion recognition means for analyzing the user's emotional state in real time; means for utilizing the analyzed emotion data in recipe selection; means for listing the necessary ingredients and cooking utensils based on the searched recipe; means for generating links for purchasing the listed ingredients and cooking utensils; and means for presenting the user with recipe information, the list of ingredients and cooking utensils, and the purchase links. This enables optimal recipes tailored to the user's emotional state and dietary needs to be suggested, enabling the user to quickly purchase the necessary ingredients and cooking utensils and use delivery services.

[0821] "Dietary goal" refers to a specific dietary goal that a user wishes to achieve.

[0822] "Preferences" refers to a user's likes and dislikes and personal preferences regarding food and drink.

[0823] "Allergy Information" refers to information about specific ingredients or substances to which a User has an allergic reaction.

[0824] "Diet Method" refers to a particular dietary restriction or eating strategy or plan adopted by a User.

[0825] "Validation" refers to the process of ensuring that entered information is accurate and complete.

[0826] "Means for analysis" refers to the mechanism for analyzing the input data in detail and extracting meaningful information.

[0827] The "optimal recipe" refers to the cooking method that best suits the user's individual requirements and emotional state.

[0828] "Emotion recognition means" refers to technology or devices for analyzing a user's real-time emotional state.

[0829] "Means for utilizing in recipe selection" refers to a mechanism for utilizing analyzed emotional data in recipe search and selection.

[0830] "Means for listing ingredients and utensils required" refers to the process of creating a list of ingredients and utensils required based on the selected recipe.

[0831] "Link Generation Means" refers to a mechanism that generates online links to enable users to easily purchase the ingredients or cooking equipment they need.

[0832] "Recipe information" refers to detailed data about how to prepare a dish and the ingredients needed.

[0833] "Presentation means" refers to a method or device that visually or physically presents information to a user.

[0834] This system provides optimal recipes by simultaneously considering a user's dietary information and real-time emotional state, and promotes the purchase and delivery of ingredients and cooking utensils. The system consists of a user's device, an emotion recognition engine, a server, and a delivery management system.

[0835] System Configuration

[0836] 1. User Input Processing

[0837] Users use the terminal to input their dietary goals, preferences, allergy information, and diet methods. The terminal validates this input information to check for omissions and errors, and then sends highly accurate data to the server.

[0838] 2. Emotion Engine Processing

[0839] The user device is equipped with an emotion recognition engine that analyzes the user's facial expressions and tone of voice to recognize their real-time emotional state. The technology used can be an existing emotion recognition engine such as "Amazon Rekognition."

[0840] 3. Sending and Receiving Data

[0841] The server receives the dietary information and emotional data sent from the device, analyzes this data, and searches a database for the optimal recipe that matches the user's dietary goals, preferences, allergy information, diet method, and emotional state.

[0842] 4. Recipe suggestions and detailed display

[0843] The server sends the selected recipe information to the terminal and presents it to the user, including a detailed list of the ingredients and cooking utensils required.

[0844] 5. Generate purchase links and delivery options

[0845] Based on the selected recipe, the server generates links to purchase the necessary ingredients and cooking equipment, and uses a delivery management system (such as the Uber Eats API) to check whether the suggested recipe is available for delivery and present delivery options to the user.

[0846] Specific examples

[0847] Consider a scenario where user "B" launches an application and searches for Mediterranean recipes aimed at maintaining health. User "B" has a nut allergy, dislikes cheese, and likes fish dishes. User "B" is also currently feeling stressed and would like a relaxing meal. The emotion engine analyzes User "B's" emotional state and detects stress. The device sends this information to the server, which then selects the most suitable recipe. For example, a recipe called "Grilled Salmon with Lemon Herb Sauce" is selected. This recipe requires salmon, lemon, herbs, a grill, and a skillet. The server generates a list of ingredients and cooking utensils and sends a purchase link and delivery options to the device. The device presents this information to User "B," allowing User "B" to quickly purchase and have the food delivered.

[0848] Examples of prompt statements

[0849] "I'm on a diet and have a nut allergy. I'm feeling stressed right now, so can you recommend some recipes that will help me reduce stress?"

[0850] The system allows users to receive personalized recipe suggestions that match their emotional state and dietary needs, conveniently purchase the necessary ingredients and cooking equipment, and use delivery services.

[0851] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0852] Step 1:

[0853] The user starts the terminal and starts the application. The user inputs their dietary goals, preferences, allergy information, and diet method. The terminal validates this input data and checks for omissions and errors. At this time, the terminal sends the correctly entered data to the server. The input is information about dietary goals, preferences, allergy information, and diet method, and the output is the validated information.

[0854] Step 2:

[0855] The emotion recognition engine installed on the device analyzes the user's facial expressions and tone of voice to recognize their real-time emotional state. The emotion recognition engine uses, for example, Amazon Rekognition. The input is the user's facial image and voice data, and the output is their emotional state (e.g., joy, stress, anxiety, etc.). The device sends this emotional data to a server.

[0856] Step 3:

[0857] The server receives the user's dietary goals, preferences, allergy information, diet methods, and emotional data sent from the device and analyzes this data. The input is user information and emotional data, and the output is the analysis results. The server searches the recipe database based on these analysis results and selects the optimal recipe.

[0858] Step 4:

[0859] The server creates a list of ingredients and utensils required based on the selected recipe. The input is the selected recipe information, and the output is the list of ingredients and utensils. The server also generates links to purchase the listed ingredients and utensils.

[0860] Step 5:

[0861] The server sends the generated recipe information, a list of ingredients and cooking utensils, and a purchase link to the terminal. The input is the list and link generation results, and the output is data for the user to confirm.

[0862] Step 6:

[0863] The device displays the submitted recipe information, a list of ingredients and utensils, and a purchase link to the user. The input is data from the server, and the output is the display information for the user to review. The user reviews the suggested recipe and purchases the necessary ingredients and utensils within the application.

[0864] Step 7:

[0865] The user clicks on the displayed purchase link to purchase the necessary ingredients and cooking equipment. The input is the purchase link, and the output is confirmation of purchase completion. A delivery management system (e.g., Uber Eats API) is used to check whether the selected meal is available for delivery and provide delivery options.

[0866] Each step processes the entire system, suggesting recipes that best suit the user's emotional state and dietary needs, allowing them to conveniently purchase ingredients and cooking equipment, and enjoy fast delivery services.

[0867] 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.

[0868] 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.

[0869] 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.

[0870] [Third embodiment]

[0871] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0872] 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.

[0873] 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).

[0874] 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.

[0875] 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.

[0876] 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).

[0877] 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.

[0878] 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.

[0879] 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.

[0880] 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.

[0881] 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.

[0882] 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."

[0883] The present invention is a system that proposes optimal recipes based on a user's individual dietary goals, preferences, allergy information, and diet method, and allows the user to easily purchase the ingredients and cooking utensils required for those recipes. The processing of the system's program is explained below in natural language.

[0884] 1. User Input Processing

[0885] Device:

[0886] When a user launches the application, an interface appears, allowing the user to enter their dietary goals, food preferences, allergy information, and diet method. After the user enters this information, the device validates the input data to ensure there are no missing or incorrect information. Correctly entered data is sent to the server.

[0887] 2. Sending and Receiving Data

[0888] server:

[0889] The server receives user data sent from the device. The server analyzes the received data and searches a recipe database based on the user's dietary goals, preferences, allergy information, and diet method. The server uses an algorithm to select the optimal recipe. The server lists the ingredients and cooking utensils required for the selected recipe and generates a link to purchase them. The generated recipe information, ingredient list, and purchase link are sent to the device.

[0890] 3. Recipe suggestions and presentation to users

[0891] Device:

[0892] The server sends recipe information, an ingredient list, and a purchase link to the user, allowing the user to review the suggested recipe and purchase the necessary ingredients and cooking equipment within the application.

[0893] user:

[0894] Users can find recipes that are best suited to their dietary goals, preferences, allergies, and dietary needs, then cook the meal according to the recipe and click links to purchase the ingredients and cooking equipment they need, completing the online purchase process.

[0895] Specific examples

[0896] User "A" is looking for recipes based on the Mediterranean diet in order to stay healthy. He has a nut allergy, likes fish dishes, and dislikes cheese. User A launches the application and enters this information (staying healthy, likes fish dishes, nut allergy, dislikes cheese, Mediterranean diet). The device sends this data to the server. The server analyzes the received data and filters recipes that match the criteria from an external recipe database. The server then selects the recipe "Grilled Salmon with Lemon Herb Sauce." Since this recipe requires salmon, lemon, herbs, a grill, and a skillet, the server generates a list of these ingredients and cooking utensils, along with links to purchase them, and sends them to the device. The device presents this information to User A, who can then purchase the necessary ingredients and cooking utensils after checking the recipe.

[0897] Effect of the invention

[0898] This system allows users to easily find recipes that best suit their dietary goals, preferences, allergies, and diet methods, and also allows them to purchase the ingredients and cooking equipment they need in one go within the app, greatly improving user convenience.

[0899] The processing flow will be explained below.

[0900] Program processing details

[0901] 1. User Input Processing

[0902] Step 1:

[0903] The user starts a terminal and starts an application, which displays an input form.

[0904] Step 2:

[0905] The user enters their dietary goals (e.g., maintaining good health), preferences (e.g., likes fish dishes, dislikes cheese), allergy information (e.g., nut allergy), and diet method (e.g., Mediterranean diet).

[0906] Step 3:

[0907] The device validates the input data to ensure all required fields are entered correctly, for example, checking that dietary goals and allergy information are included.

[0908] Step 4:

[0909] If the validation is successful, the terminal transmits the entered data to the server.

[0910] 2. Sending and Receiving Data

[0911] Step 5:

[0912] The server receives the data sent from the terminal and begins analyzing it.

[0913] Step 6:

[0914] Based on the data analyzed by the server, the recipe database is searched to select the most suitable recipe, taking into consideration dietary goals, preferences, allergy information, and diet methods.

[0915] Step 7:

[0916] The server filters the search results to find multiple recipes that match the criteria, and an algorithm selects the recipe that best suits the user's criteria.

[0917] 3. Recipe suggestions and presentation to users

[0918] Step 8:

[0919] The server lists the ingredients (e.g., salmon, lemon, herbs) and cooking equipment (e.g., grill, skillet) required for the selected recipe and generates a purchase link based on the list.

[0920] Step 9:

[0921] The server sends the generated recipe information, ingredient list, and purchase link to the terminal.

[0922] Step 10:

[0923] The device displays the recipe information, ingredients list, and purchase link to the user.

[0924] 4. Check the recipe and purchase

[0925] Step 11:

[0926] The user reviews the displayed recipe (e.g., Grilled Salmon with Lemon Herb Sauce).

[0927] Step 12:

[0928] The user clicks on the purchase link provided to purchase the ingredients and cooking equipment they need.

[0929] Specific examples

[0930] User "A" is looking for recipes based on the Mediterranean diet in order to maintain good health. He has a nut allergy, likes fish dishes, and dislikes cheese. User A starts the application and enters information about maintaining good health, liking fish dishes, allergy to nuts, dislikes cheese, and the Mediterranean diet. The device validates this data and sends it to the server. The server analyzes the received data and selects the optimal recipe. The server selects the recipe "Grilled salmon with lemon herb sauce," generates a list of the necessary ingredients and utensils, and a purchase link, and sends them to the device. The device presents the recipe information to User A, who then checks the recipe and purchases the necessary items.

[0931] This process allows users to easily find recipes that fit their needs and quickly purchase the ingredients and cooking equipment they need.

[0932] Example 1

[0933] 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."

[0934] To address today's diverse dietary habits and individual health needs, systems that suggest optimal recipes based on users' dietary goals, preferences, allergy information, and diet methods are needed. However, many such systems struggle to provide personalized suggestions based on detailed user information. Furthermore, there is a lack of systems that allow users to easily purchase the ingredients and cooking equipment needed for the suggested recipes, preventing consistent user convenience.

[0935] 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.

[0936] In this invention, the server includes means for inputting a user's dietary goals, preferences, allergy information, and diet method, means for validating and analyzing the input information, means for transmitting the input information to the server, means for searching for and selecting an optimal recipe based on the user's dietary goals, preferences, allergy information, and diet method on the server, means for listing necessary ingredients and cooking utensils based on the searched and selected recipe, means for generating links for purchasing the listed ingredients and cooking utensils, and means for presenting the generated recipe information, list of ingredients and cooking utensils, and purchase links to the user. This enables users to easily find recipes that meet their specific dietary needs and purchase the ingredients and cooking utensils required for those recipes all at once.

[0937] A "user" is an individual or organization that uses the system and inputs information such as dietary goals, preferences, allergy information, and diet methods.

[0938] A "dietary goal" is a dietary goal that a user wants to achieve, such as losing weight or staying healthy.

[0939] "Preferences" refers to information about individual preferences, such as the types of ingredients and dishes that a user likes, or the types of ingredients and dishes that a user does not like to eat.

[0940] "Allergy Information" is information about foods to which the user has an allergic reaction, and is a list of foods that should be avoided to protect the user's health.

[0941] "Diet Method" refers to the specific dietary restrictions or eating habits adopted by the user, such as a keto diet or Mediterranean diet.

[0942] "Input means" refers to an interface and device that allows a user to input information such as dietary goals, preferences, allergy information, and diet methods into the system.

[0943] "Validation" is the process of ensuring that the data entered by the user is accurate and complete.

[0944] "Means of analysis" refers to algorithms or software that analyze users' conditions and needs based on input information.

[0945] "Means of transmission" refers to the communication protocols and functions for sending user input data from the terminal to the server.

[0946] "Search and selection means" refers to algorithms or systems that search for and select the best recipes from a database that meet the user's requirements.

[0947] The "listing means" is a function or device that creates a list of necessary ingredients and cooking utensils based on the selected recipe.

[0948] "Links to Purchase" are the URLs or hyperlinks necessary to purchase the listed ingredients or cooking equipment online.

[0949] The "presentation means" refers to an interface or device that displays the generated recipe information, list of ingredients and cooking utensils, and purchase links in an easy-to-view format for the user.

[0950] A "generative AI model" is an artificial intelligence algorithm or learning model used to suggest optimal recipes based on a user's preferences and conditions.

[0951] This invention is a system that suggests optimal recipes based on a user's individual dietary goals, preferences, allergy information, and diet methods, and allows the user to easily purchase the ingredients and cooking utensils required for those recipes.

[0952] 1. User Input Processing

[0953] Device:

[0954] When a user launches the application, an interface appears where they can enter their dietary goals, preferences, allergy information, and diet method. The device validates the entered information to ensure there are no missing or incorrect information. Specifically, validation includes front-end validation using JavaScript, for example. Correctly entered data is sent to the server.

[0955] 2. Data transmission

[0956] Device:

[0957] The device uses a secure protocol (e.g., HTTPS) to transmit the validated data to the server, where the transmitted data is user profile information such as dietary goals, preferences, allergy information, and diet methods.

[0958] 3. Data Receipt and Analysis

[0959] server:

[0960] The server receives user data sent from the device, stores it in a database system (e.g., MySQL or PostgreSQL), and runs algorithms to analyze the user's dietary goals, preferences, allergy information, and diet methods. This analysis involves data analysis techniques using languages ​​such as Python and R.

[0961] 4. Selection of the optimal recipe

[0962] server:

[0963] Based on the analysis results, a recipe database (such as MongoDB or Firebase) is searched. Candidate recipes that meet the user's criteria are listed, and the optimal recipe is selected using weighting and scoring of multiple criteria. A generative AI model can then be used to make personalized recipe suggestions based on the user's preferences and criteria.

[0964] 5. Generating recipe information and links

[0965] server:

[0966] The system extracts the details of the selected recipe and generates a list of the ingredients and utensils required. This process processes the data retrieved from the recipe database and formats it into a user-friendly format. It also generates links to purchase the listed ingredients and utensils and sends the data to the device.

[0967] 6. Receiving and displaying recipe information

[0968] Device:

[0969] Receive the recipe information, ingredients list, and purchase link sent from the server. Display this information in the application interface, presenting it in a user-friendly format. For example, this can be achieved using a modern front-end framework such as React or Vue.js.

[0970] 7. User Actions

[0971] user:

[0972] The user reviews the displayed recipe information, ingredient list, and purchase links. If necessary, they click on links to purchase ingredients and cooking equipment and complete the online checkout process. This completes the process and the user can begin cooking according to the suggested recipe.

[0973] Specific examples

[0974] User "A" is looking for recipes based on the Mediterranean diet in order to stay healthy. He has a nut allergy, likes fish dishes, and dislikes cheese. User A launches the application and enters this information (staying healthy, likes fish dishes, nut allergy, dislikes cheese, Mediterranean diet). The device correctly validates this data and sends it to the server. The server analyzes the received data and selects an appropriate recipe. In this case, the recipe "Grilled Salmon with Lemon Herb Sauce" is selected. The server generates a list of ingredients (salmon, lemon, herbs) and cooking equipment (grill pan) required for this recipe and sends a link to purchase them to the device. The device presents this information to User A, who can then purchase the necessary ingredients and cooking equipment and cook the dish according to the suggested recipe.

[0975] Prompt Sentence Examples

[0976] "Please suggest some Mediterranean recipes aimed at maintaining good health that are suitable for people with nut allergies."

[0977] "We're looking for recipes that are perfect for people who love fish but don't like cheese."

[0978] This way, users can easily find the perfect recipe that meets their specific dietary needs and purchase the ingredients and cooking equipment needed for that recipe all in one place.

[0979] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0980] Step 1: Process User Input

[0981] Device:

[0982] When a user launches the application, an interface is displayed for entering dietary goals, preferences, allergy information, and diet methods. The user enters this information into a form. The form incorporates mandatory field checks and input format checks to validate that there are no missing or error information. If the input data passes validation, it is sent to the server.

[0983] Input: User's dietary goals, preferences, allergy information, diet method

[0984] Output: Data that has passed validation (dietary goals, preferences, allergy information, diet methods)

[0985] Step 2: Sending data

[0986] Device:

[0987] Once the user data has passed validation, it is sent to the server using a secure protocol (e.g. HTTPS), where the data is encrypted to ensure that it is transmitted securely.

[0988] Input: Validated user data

[0989] Output: User data sent to the server

[0990] Step 3: Receiving and storing data

[0991] server:

[0992] Receives user data sent from the device. The received data is stored in a database system (e.g., MySQL or PostgreSQL). The stored data is used for subsequent analysis processing.

[0993] Input: User data sent from the device

[0994] Output: User data stored in the database

[0995] Step 4: Data analysis

[0996] server:

[0997] The stored user data is analyzed using Python and R, and algorithms are applied to extract suitable recipe candidates based on the user's dietary goals, preferences, allergies, and diet methods. The criteria are weighted and scored to select the recipe that best matches the user's criteria.

[0998] Input: User data stored in the database

[0999] Output: A list of suitable recipe candidates

[1000] Step 5: Selecting the optimal recipe

[1001] server:

[1002] Using a generative AI model based on the analysis results, the system selects recipes that best fit the user's preferences and conditions. The model is trained based on past data and feedback from other users, enabling highly accurate recipe suggestions. The selected recipes include information on the necessary ingredients and cooking utensils.

[1003] Input: Recipe candidate list

[1004] Output: Optimized recipe and information on ingredients and cooking equipment required

[1005] Step 6: Generate a purchase link

[1006] server:

[1007] Based on the selected recipe, a link to purchase the necessary ingredients and cooking equipment is generated. The link is generated using the API of the online shopping site and is set up to directly access the purchase page for each item.

[1008] Input: Your best recipe and the ingredients and equipment you need

[1009] Output: A list of ingredients and cooking equipment with purchase links

[1010] Step 7: Receiving and displaying recipe information

[1011] Device:

[1012] The system receives the best recipe information, ingredient list, and purchase link sent from the server, and displays the received information in a user interface so that users can easily check it. Modern front-end frameworks such as React and Vue.js are used for display.

[1013] Input: Recipe information, ingredients list, and purchase link sent from the server

[1014] Output: Information displayed in the user interface

[1015] Step 8: User Actions

[1016] user:

[1017] The user reviews the recipe information, ingredients list, and purchase link displayed, and if necessary, clicks the link to complete the online purchase. After completing the purchase, the user begins cooking according to the suggested recipe.

[1018] Input: Information displayed in the user interface

[1019] Output: Checkout online and start cooking

[1020] (Application example 1)

[1021] 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."

[1022] Today's consumers are becoming increasingly health-conscious, and are increasingly seeking dietary management, diet options, and meals that meet their allergies and preferences. However, many food delivery services are unable to fully address these individual needs. As a result, consumers have to take the trouble of managing their own meals, which is a major challenge, especially for those who are short on time. It also increases the hassle of having to purchase ingredients and cooking equipment separately.

[1023] 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.

[1024] In this invention, the server includes means for inputting a user's dietary goals, preferences, allergy information, and diet method, means for validating and analyzing the input information, means for searching for optimal recipes based on the dietary goals, preferences, allergy information, and diet method, means for listing ingredients and cooking utensils based on the searched recipe, means for generating links for purchasing the listed ingredients and cooking utensils, means for presenting the recipe information, the list of ingredients and cooking utensils, and the purchase links to the user, means for enabling ordering of food based on the recipe information, and means for suggesting optimal recipes to the user using a generative AI model. This enables users to easily find optimal meals that fit their lifestyle and health goals, purchase the necessary ingredients and utensils, and even directly order the food.

[1025] "User" refers to a person who uses the system to input dietary goals, preferences, allergy information, diet methods, etc.

[1026] "Dietary Goal" means a specific dietary goal that a User wishes to achieve (e.g., weight loss, muscle building, health maintenance, etc.).

[1027] "Preferences" refers to the types of ingredients and dishes that a user prefers.

[1028] "Allergy Information" refers to information about food allergies that a User has.

[1029] "Diet" refers to a particular diet or nutritional regimen (e.g., ketogenic, Mediterranean, etc.) adopted by a User.

[1030] "Validation" refers to the process of ensuring that entered data is accurate and complete.

[1031] "Analysis" refers to the process of using input data to make suggestions and choices that best suit the user's needs.

[1032] "Optimal recipes" refer to recipes selected based on the user's dietary goals, preferences, allergy information, and diet method.

[1033] "Listing" refers to making a list of the ingredients and cooking utensils needed based on the selected recipe.

[1034] "Purchase Link" means a link that enables a User to purchase the listed ingredients and cooking equipment online.

[1035] "Recipe information" refers to detailed information about the specific cooking method and the ingredients and equipment required.

[1036] "Ordering food" refers to the act of a user actually ordering food through a delivery service based on a suggested recipe.

[1037] "Generative AI model" refers to a machine learning model used to analyze user input data and suggest optimal recipes.

[1038] In order to implement the present invention, it is necessary to construct the following system.

[1039] Hardware Configuration

[1040] User device: A device on which users input their dietary goals, preferences, allergy information, and diet methods. This includes smartphones, tablets, and PCs.

[1041] Server: A centralized device that analyzes input user information and selects the optimal recipe. It connects to a database and processes data in real time.

[1042] Food delivery platform: A system for ordering and delivering actual food based on suggested recipes.

[1043] Software Configuration

[1044] 1. User information validation and submission processing:

[1045] Front-end: Create input forms using modern JavaScript frameworks such as React or Vue.js.

[1046] Backend: Use a web framework such as Flask or Django to implement validation logic and information submission functionality.

[1047] 2. Data analysis and recipe selection:

[1048] Analytics engine: A Python-based analytics engine that leverages generative AI models (e.g., GPT-3) to analyze data.

[1049] Recipe database: Use a SQL or NoSQL database (e.g., MySQL, MongoDB) to store multiple recipes.

[1050] 3. Proposal and order link generation:

[1051] Link Generation System: Contains the logic to generate links that allow users to easily purchase ingredients and cooking equipment.

[1052] 4. User Interface:

[1053] Application UI: Provides an interface for users to browse suitable recipes, purchase ingredients and cooking equipment, and order meals.

[1054] Specific system processing example

[1055] 1. User input processing:

[1056] The user launches the application and enters their dietary goals (e.g., weight loss), preferences (e.g., preference for fish dishes), allergy information (e.g., nut allergy), and diet method (e.g., Mediterranean diet) into the interface.

[1057] Example: "I'm looking for Mediterranean recipes to help me stay healthy. I have a nut allergy, I like fish dishes, and I don't like cheese."

[1058] 2. Data transmission and analysis:

[1059] The server analyzes the received user information, searches the recipe database, and selects the optimal recipe. The analysis is performed using a generative AI model (e.g., OpenAI GPT-3).

[1060] Example sentence: "Dietary goal: Maintain good health, Preferences: Likes fish dishes, Allergy information: Allergy to nuts, Diet method: Please suggest the best recipes based on the Mediterranean diet."

[1061] 3. Recipe suggestions and purchase link generation:

[1062] The server sends the selected recipe information to the user's device, and the user can view the suggested recipes in the interface, and is provided with links to purchase the necessary ingredients and cooking equipment.

[1063] Example: "The perfect recipe for you is Grilled Salmon with Lemon and Herb Sauce. Ingredients: Salmon, lemon, and herbs. Equipment: Grill, skillet."

[1064] 4. Food Ordering:

[1065] A means is provided for users to order food based on suggested recipes.

[1066] Example: "To order this dish, click on this link."

[1067] This allows users to easily find, shop and order the best meals that fit their lifestyle and health goals.

[1068] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1069] Step 1:

[1070] The user uses the device to input their dietary goals, preferences, allergy information, and diet method.

[1071] Input: dietary goals, preferences, allergy information, diet method

[1072] Data processing: Validating the entered information

[1073] Output: Validated user information

[1074] Step 2:

[1075] The device sends the validated user information to the server.

[1076] Input: Validated user information

[1077] Data calculation: information transmission processing

[1078] Output: User information received by the server

[1079] Step 3:

[1080] The server analyzes user information and uses a generative AI model (e.g., GPT-3) to find the best recipe.

[1081] Input: User information

[1082] Data Computing: Analysis and Recipe Search Using Generative AI Models

[1083] Output: Optimal recipe information

[1084] Step 4:

[1085] The server lists the ingredients and cooking equipment needed for the best recipe and generates links to purchase them.

[1086] Input: Optimal recipe information

[1087] Data calculation: Listing ingredients and cooking utensils, generating purchase links

[1088] Output: Ingredient list, cooking utensil list, purchase link

[1089] Step 5:

[1090] The server sends the generated recipe information, ingredient list, cooking utensil list, and purchase link to the terminal and presents them to the user.

[1091] Input: Recipe information, ingredients list, cooking equipment list, purchase link

[1092] Data calculation: information transmission processing

[1093] Output: Information to present to the user

[1094] Step 6:

[1095] Users can check the optimal recipes presented on their device and purchase the necessary ingredients and cooking equipment within the application.

[1096] Input: Recipe information, ingredients list, cooking equipment list, purchase link

[1097] Data processing: User verification and purchase processing

[1098] Output: Purchased ingredients and cooking equipment

[1099] Step 7:

[1100] Users order food based on suggested recipes.

[1101] Input: Recipe information, food ordering link

[1102] Data processing: food order processing

[1103] Output: Ordered food

[1104] 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.

[1105] Program processing details

[1106] 1. User Input Processing

[1107] The user starts the device and launches the application. The interface is displayed, and the user enters their dietary goals, food preferences, allergy information, and diet method. The device then validates the input data to ensure there are no omissions or errors. Correctly entered data is then sent to the server.

[1108] 2. Emotion Engine Processing

[1109] The device has an emotion engine that recognizes emotions from the user's facial expressions, tone of voice, text input, etc. The emotion engine analyzes the user's real-time emotional state and determines whether it is joy, stress, anxiety, etc.

[1110] 3. Sending and Receiving Data

[1111] The server receives the data sent from the device and begins analysis. It also receives emotional data from the emotion engine. Using this data, the server searches the recipe database based on the user's dietary goals, preferences, allergy information, diet method, and emotional state. The server uses an algorithm to select the optimal recipe, list the necessary ingredients and cooking utensils, and generate a purchase link based on the list. The generated recipe information, ingredient list, and purchase link are sent to the device.

[1112] 4. Recipe suggestions and presentation to users

[1113] The device will display the recipe information, ingredients list, and purchase link to the user, who can then review the suggested recipe and purchase the necessary ingredients and utensils within the app.

[1114] 5. Check the recipe and purchase

[1115] The user reviews the displayed recipe (e.g., Grilled Salmon with Lemon Herb Sauce). The user clicks on the displayed purchase link to purchase the necessary ingredients and cooking equipment.

[1116] Specific examples

[1117] User "B" is looking for recipes based on the Mediterranean diet to stay healthy. User B is feeling stressed and wants to eat something that will help him relax. He has a nut allergy, likes fish dishes, and dislikes cheese. User B launches the application and enters information about staying healthy, liking fish dishes, allergy to nuts, dislikes cheese, and the Mediterranean diet. The emotion engine then analyzes User B's emotional state and detects stress. The device sends this data to the server. The server analyzes the received data and selects the optimal recipe. For example, a recipe called "Grilled Salmon with Lemon Herb Sauce" is selected. This recipe requires salmon, lemon, herbs, a grill, and a skillet. The server generates a list of the ingredients and cooking utensils, along with a purchase link, and sends this to the device. The device presents the recipe information to User B, who then checks the recipe and purchases the necessary items.

[1118] This process allows users to easily retrieve recipes that fit their emotional state and dietary needs, and quickly purchase the necessary ingredients and cooking equipment.

[1119] The processing flow will be explained below.

[1120] Program processing details

[1121] 1. User Input Processing

[1122] Step 1:

[1123] The user starts a terminal and starts an application, which displays an input form.

[1124] Step 2:

[1125] The user enters their dietary goals (e.g., maintaining good health), preferences (e.g., likes fish dishes, dislikes cheese), allergy information (e.g., nut allergy), and diet method (e.g., Mediterranean diet).

[1126] Step 3:

[1127] The device validates the input data to ensure all required fields are entered correctly, for example, checking that dietary goals and allergy information are included.

[1128] Step 4:

[1129] If the validation is successful, the terminal transmits the entered data to the server.

[1130] 2. Emotion Engine Processing

[1131] Step 5:

[1132] The device activates an emotion engine that recognizes emotions from the user's facial expressions, tone of voice, text input, etc.

[1133] Step 6:

[1134] The emotion engine analyzes the user's emotional state and determines whether it is joy, stress, anxiety, etc.

[1135] Step 7:

[1136] The emotion engine sends the analysis results to the terminal, and the terminal then sends the data to the server.

[1137] 3. Sending and Receiving Data

[1138] Step 8:

[1139] The server receives the data (dietary goals, preferences, allergy information, diet methods, and emotional data) sent from the terminal.

[1140] Step 9:

[1141] The server analyzes the received data and searches a recipe database based on dietary goals, preferences, allergy information, dietary methods, and emotional state.

[1142] Step 10:

[1143] The server filters the search results to find multiple recipes that match the criteria, and an algorithm selects the recipe that best suits the user's criteria.

[1144] 4. Recipe suggestions and presentation to users

[1145] Step 11:

[1146] The server lists the ingredients (e.g., salmon, lemon, herbs) and cooking equipment (e.g., grill, skillet) required for the selected recipe and generates a purchase link based on the list.

[1147] Step 12:

[1148] The server sends the generated recipe information, ingredient list, and purchase link to the terminal.

[1149] Step 13:

[1150] The device displays the recipe information, ingredients list, and purchase link to the user.

[1151] 5. Check the recipe and purchase

[1152] Step 14:

[1153] The user reviews the displayed recipe (e.g., Grilled Salmon with Lemon Herb Sauce).

[1154] Step 15:

[1155] The user clicks on the purchase link provided to purchase the ingredients and cooking equipment they need.

[1156] Specific examples

[1157] User "B" is looking for Mediterranean-based recipes to stay healthy. He is stressed and wants to find a relaxing dish. He has a nut allergy, likes fish dishes, and dislikes cheese.

[1158] Step 1:

[1159] User B launches the application and enters information about staying healthy, liking fish dishes, having a nut allergy, disliking cheese, and following a Mediterranean diet.

[1160] Step 2:

[1161] The terminal validates the input data and sends it to the server.

[1162] Step 3:

[1163] The device activates an emotion engine and analyzes User B's stress level from his / her facial expressions and tone of voice.

[1164] Step 4:

[1165] The emotion engine transmits the emotion data to the terminal, and the terminal transmits the data to the server.

[1166] Step 5:

[1167] The server receives the data, analyzes it, and selects the optimal recipe (e.g., grilled salmon with lemon herb sauce).

[1168] Step 6:

[1169] The server generates a list of the necessary ingredients and cooking equipment along with a purchase link and sends it to the device.

[1170] Step 7:

[1171] The device presents User B with recipe information and a purchase link.

[1172] Step 8:

[1173] User B checks the recipe and purchases the necessary items.

[1174] This process allows User B to obtain recipes that fit their emotional state and dietary needs, and quickly purchase the necessary ingredients and cooking equipment.

[1175] Example 2

[1176] 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."

[1177] Conventional recipe suggestion systems typically provide recipes based on the user's dietary goals, preferences, allergy information, and diet methods, but do not consider the user's emotional state. This makes it difficult to select recipes that reflect the user's emotions, making it difficult to provide an optimal dining experience. Furthermore, selecting recipes without considering the user's emotional state can cause stress and anxiety, resulting in reduced satisfaction.

[1178] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for inputting the user's dietary goals, preferences, allergy information, and diet method, means for validating and analyzing the input information, means including an emotion engine for recognizing and analyzing the user's emotions, and means for searching for optimal recipes based on the user's dietary goals, preferences, allergy information, diet method, and emotional state. This makes it possible to suggest recipes taking into consideration the user's real-time emotional state in addition to their dietary goals, preferences, allergy information, and diet method.

[1179] A "user" is an entity that uses this system to input their dietary goals, preferences, allergy information, and diet methods, and receives recipe suggestions.

[1180] "Terminal" means a device used to provide user input and display recipe information and other related information.

[1181] The "server" is the part of the system that receives the data sent from the device and searches for the best recipe based on dietary goals, preferences, allergy information, dietary methods and emotional state.

[1182] "Dietary goal" refers to a dietary goal that a user wishes to achieve, such as maintaining good health or losing weight.

[1183] "Preferences" refers to the type or style of food a user prefers.

[1184] "Allergy information" refers to information about a user's allergies to specific ingredients.

[1185] "Diet Method" means a particular diet method or plan that a User is following or intends to follow.

[1186] "Validation" is the process of checking whether the data entered by the user is correct and whether there are any omissions or errors.

[1187] The "Emotion Engine" is a function that analyzes a user's emotional state in real time based on facial expressions, tone of voice, text input, etc.

[1188] "Emotional state" refers to the psychological state a user is feeling, such as joy, stress, or anxiety.

[1189] A "recipe" is information that includes instructions and a list of ingredients needed to prepare a particular dish.

[1190] "Listing" is the act of listing the ingredients and cooking utensils needed based on specific conditions.

[1191] "Link" means a URL that a user can click to go to a specific web page or purchasing site.

[1192] "Search" is the process of identifying the best recipe from the database based on the user's input information and emotional state.

[1193] "Presenting" is the act of displaying information (recipe information, ingredient list, purchase link, etc.) to the user.

[1194] This invention is a system that provides optimal recipes based on a user's dietary goals, preferences, allergy information, diet method, and emotional state. The system consists of a terminal and a server, and operates by combining a user interface, an emotion recognition engine, a recipe database, and algorithms.

[1195] First, the user starts the device and launches a dedicated application. The device then displays an interface that prompts the user to enter various information. The user enters their dietary goals, preferences, allergy information, and diet method. For example, they can enter information such as "maintaining good health," "likes fish dishes," "nut allergy," and "Mediterranean diet." The entered data is validated on the device to ensure there are no omissions or errors. Data that has been entered correctly is then sent to the server.

[1196] The device then activates an emotion engine to analyze the user's facial expressions and tone of voice. The emotion engine uses technologies such as OpenFace and Microsoft Azure's emotion recognition API to analyze the user's real-time emotional state, capturing emotions such as stress, anxiety, and joy, and sends the data to a server.

[1197] The server receives the user's dietary goals, preferences, allergy information, diet methods, and emotional data from the device. Using this data, the server uses algorithms written in Python and R to search a recipe database stored in a MySQL database. For example, based on keywords such as "Mediterranean diet," "stress reduction," and "fish dishes," the server selects the optimal recipe, such as "grilled salmon with lemon herb sauce."

[1198] Based on the selected recipe, the server generates a list of ingredients and cooking equipment needed. The ingredients include salmon, lemon, herbs, etc., and cooking equipment includes a grill and skillet. The server uses Amazon's API to generate purchase links for the ingredients and cooking equipment. The generated recipe information, ingredient list, and purchase links are sent to the device.

[1199] The device displays the recipe information, ingredient list, and purchase link to the user. The user can review this information and, if necessary, purchase ingredients and cooking equipment within the app. This allows users to easily obtain recipes that suit their emotional state and dietary needs, and quickly purchase the necessary ingredients and tools.

[1200] Specific examples

[1201] For example, user "B" is looking for recipes based on the Mediterranean diet to stay healthy. User B is feeling stressed and wants to eat something that will help him relax. He has a nut allergy, likes fish dishes, and dislikes cheese. User B launches the application and enters information about staying healthy, liking fish dishes, allergy to nuts, dislikes cheese, and the Mediterranean diet. The emotion engine also analyzes User B's emotional state and detects stress. The device sends this data to the server. The server analyzes the data and selects the optimal recipe. For example, a recipe called "Grilled Salmon with Lemon Herb Sauce" is selected. This recipe includes salmon, lemon, herbs, etc., and requires a grill and skillet. The server generates a list of ingredients and cooking utensils along with a purchase link and sends them to the device. The device presents the recipe information to User B, who can then purchase the necessary items after checking the recipe.

[1202] Prompt Sentence Examples

[1203] Below are some example prompts to input to the generative AI model:

[1204] I'm looking for Mediterranean recipes to help me stay healthy. I have a nut allergy, I love fish, but I hate cheese. I'm also stressed, so I'd like some relaxing food.

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

[1206] Step 1: The user boots up the device and starts the application.

[1207] Specifically, a user turns on their smartphone or tablet and taps the app icon on the home screen, which launches the application and displays the login screen and home screen.

[1208] Input: None

[1209] Output: Initial screen of the application

[1210] Step 2: The terminal displays the interface and the user enters data.

[1211] The terminal displays an interface with input fields for dietary goals, preferences, allergy information, diet methods, etc. The user enters data into these fields and presses the submit button.

[1212] Input: User's dietary goals, preferences, allergy information, diet method

[1213] Output: Collecting user input data

[1214] Step 3: The device validates the data and sends it to the server.

[1215] The terminal performs a validation process to check whether the data entered by the user is correct and whether there are any missing or incorrect information. If the validation is successful, the terminal sends the data to the server.

[1216] Input: User-entered data

[1217] Output: Send validated data to the server

[1218] Step 4: The device starts the emotion engine and generates emotion data.

[1219] The device activates the emotion engine, which uses the camera and microphone to capture the user's facial expressions and tone of voice. The emotion engine analyzes this information and determines the user's emotional state (e.g., stress, anxiety, joy), and sends the determined emotion data to the server.

[1220] Input: User facial expressions and tone of voice

[1221] Output: Send emotion data to the server

[1222] Step 5: The server analyzes the received data and selects the optimal recipe.

[1223] The server receives information about dietary goals, preferences, allergies, diet methods, and emotional data sent from the device, and uses this information to search a MySQL database using algorithms written in Python and R to select the optimal recipe.

[1224] Input: dietary goals, preferences, allergy information, diet methods, emotional data

[1225] Output: Selection of optimal recipe

[1226] Step 6: The server generates a list of ingredients and a purchase link and sends it to the device.

[1227] The server generates a list of ingredients and cooking utensils required based on the selected recipe, and then uses Amazon's API to generate purchase links for these ingredients and cooking utensils. The generated information is then sent to the device.

[1228] Input: Selected recipe

[1229] Output: Ingredient list, cooking utensil list, purchase link

[1230] Step 7: The device displays the recipe information and the user confirms it.

[1231] The device displays the recipe information, ingredient list, and purchase link received from the server to the user, who can then confirm the recipe details.

[1232] Input: Recipe information received from the server, ingredient list, purchase link

[1233] Output: Display recipe information

[1234] Step 8: The user clicks on the link to purchase the ingredients and cooking equipment.

[1235] When users click on the purchase link displayed on their device, a browser opens and they are taken to the purchasing site, where they can complete the process of purchasing the ingredients and cooking equipment they want.

[1236] Input: Purchase Link

[1237] Output: Access to purchase site

[1238] The entire system works in this way, suggesting optimal recipes based on the user's input and allowing them to easily purchase the ingredients and cooking equipment needed for those recipes.

[1239] (Application example 2)

[1240] 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."

[1241] The present invention aims to provide optimal recipes by simultaneously considering multiple factors related to a user's diet (dietary goals, preferences, allergy information, diet methods) and their real-time emotional state. Conventional meal recommendation systems do not suggest recipes that take the user's emotional state into account, making it difficult to suggest meals that are appropriate for the user's psychological state. It is also difficult to smoothly order ingredients and cooking utensils based on the suggested recipe and use immediate delivery. There is a need to solve these problems and provide users with more personalized meal suggestions and fast purchasing and delivery services.

[1242] 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 inputting the user's dietary goals, preferences, allergy information, and diet method; means for validating and analyzing the input information; means for searching for optimal recipes based on the dietary goals, preferences, allergy information, and diet method; emotion recognition means for analyzing the user's emotional state in real time; means for utilizing the analyzed emotion data in recipe selection; means for listing the necessary ingredients and cooking utensils based on the searched recipe; means for generating links for purchasing the listed ingredients and cooking utensils; and means for presenting the user with recipe information, the list of ingredients and cooking utensils, and the purchase links. This enables optimal recipes tailored to the user's emotional state and dietary needs to be suggested, enabling the user to quickly purchase the necessary ingredients and cooking utensils and use delivery services.

[1243] "Dietary goal" refers to a specific dietary goal that a user wishes to achieve.

[1244] "Preferences" refers to a user's likes and dislikes and personal preferences regarding food and drink.

[1245] "Allergy Information" refers to information about specific ingredients or substances to which a User has an allergic reaction.

[1246] "Diet Method" refers to a particular dietary restriction or eating strategy or plan adopted by a User.

[1247] "Validation" refers to the process of ensuring that entered information is accurate and complete.

[1248] "Means for analysis" refers to the mechanism for analyzing the input data in detail and extracting meaningful information.

[1249] The "optimal recipe" refers to the cooking method that best suits the user's individual requirements and emotional state.

[1250] "Emotion recognition means" refers to technology or devices for analyzing a user's real-time emotional state.

[1251] "Means for utilizing in recipe selection" refers to a mechanism for utilizing analyzed emotional data in recipe search and selection.

[1252] "Means for listing ingredients and utensils required" refers to the process of creating a list of ingredients and utensils required based on the selected recipe.

[1253] "Link Generation Means" refers to a mechanism that generates online links to enable users to easily purchase the ingredients or cooking equipment they need.

[1254] "Recipe information" refers to detailed data about how to prepare a dish and the ingredients needed.

[1255] "Presentation means" refers to a method or device that visually or physically presents information to a user.

[1256] This system provides optimal recipes by simultaneously considering a user's dietary information and real-time emotional state, and promotes the purchase and delivery of ingredients and cooking utensils. The system consists of a user's device, an emotion recognition engine, a server, and a delivery management system.

[1257] System Configuration

[1258] 1. User Input Processing

[1259] Users use the terminal to input their dietary goals, preferences, allergy information, and diet methods. The terminal validates this input information to check for omissions and errors, and then sends highly accurate data to the server.

[1260] 2. Emotion Engine Processing

[1261] The user device is equipped with an emotion recognition engine that analyzes the user's facial expressions and tone of voice to recognize their real-time emotional state. The technology used can be an existing emotion recognition engine such as "Amazon Rekognition."

[1262] 3. Sending and Receiving Data

[1263] The server receives the dietary information and emotional data sent from the device, analyzes this data, and searches a database for the optimal recipe that matches the user's dietary goals, preferences, allergy information, diet method, and emotional state.

[1264] 4. Recipe suggestions and detailed display

[1265] The server sends the selected recipe information to the terminal and presents it to the user, including a detailed list of the ingredients and cooking utensils required.

[1266] 5. Generate purchase links and delivery options

[1267] Based on the selected recipe, the server generates links to purchase the necessary ingredients and cooking equipment, and uses a delivery management system (such as the Uber Eats API) to check whether the suggested recipe is available for delivery and present delivery options to the user.

[1268] Specific examples

[1269] Consider a scenario where user "B" launches an application and searches for Mediterranean recipes aimed at maintaining health. User "B" has a nut allergy, dislikes cheese, and likes fish dishes. User "B" is also currently feeling stressed and would like a relaxing meal. The emotion engine analyzes User "B's" emotional state and detects stress. The device sends this information to the server, which then selects the most suitable recipe. For example, a recipe called "Grilled Salmon with Lemon Herb Sauce" is selected. This recipe requires salmon, lemon, herbs, a grill, and a skillet. The server generates a list of ingredients and cooking utensils and sends a purchase link and delivery options to the device. The device presents this information to User "B," allowing User "B" to quickly purchase and have the food delivered.

[1270] Examples of prompt statements

[1271] "I'm on a diet and have a nut allergy. I'm feeling stressed right now, so can you recommend some recipes that will help me reduce stress?"

[1272] The system allows users to receive personalized recipe suggestions that match their emotional state and dietary needs, conveniently purchase the necessary ingredients and cooking equipment, and use delivery services.

[1273] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1274] Step 1:

[1275] The user starts the terminal and starts the application. The user inputs their dietary goals, preferences, allergy information, and diet method. The terminal validates this input data and checks for omissions and errors. At this time, the terminal sends the correctly entered data to the server. The input is information about dietary goals, preferences, allergy information, and diet method, and the output is the validated information.

[1276] Step 2:

[1277] The emotion recognition engine installed on the device analyzes the user's facial expressions and tone of voice to recognize their real-time emotional state. The emotion recognition engine uses, for example, Amazon Rekognition. The input is the user's facial image and voice data, and the output is their emotional state (e.g., joy, stress, anxiety, etc.). The device sends this emotional data to a server.

[1278] Step 3:

[1279] The server receives the user's dietary goals, preferences, allergy information, diet methods, and emotional data sent from the device and analyzes this data. The input is user information and emotional data, and the output is the analysis results. The server searches the recipe database based on these analysis results and selects the optimal recipe.

[1280] Step 4:

[1281] The server creates a list of ingredients and utensils required based on the selected recipe. The input is the selected recipe information, and the output is the list of ingredients and utensils. The server also generates links to purchase the listed ingredients and utensils.

[1282] Step 5:

[1283] The server sends the generated recipe information, a list of ingredients and cooking utensils, and a purchase link to the terminal. The input is the list and link generation results, and the output is data for the user to confirm.

[1284] Step 6:

[1285] The device displays the submitted recipe information, a list of ingredients and utensils, and a purchase link to the user. The input is data from the server, and the output is the display information for the user to review. The user reviews the suggested recipe and purchases the necessary ingredients and utensils within the application.

[1286] Step 7:

[1287] The user clicks on the displayed purchase link to purchase the necessary ingredients and cooking equipment. The input is the purchase link, and the output is confirmation of purchase completion. A delivery management system (e.g., Uber Eats API) is used to check whether the selected meal is available for delivery and provide delivery options.

[1288] Each step processes the entire system, suggesting recipes that best suit the user's emotional state and dietary needs, allowing them to conveniently purchase ingredients and cooking equipment, and enjoy fast delivery services.

[1289] 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.

[1290] 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.

[1291] 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.

[1292] [Fourth embodiment]

[1293] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1294] 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.

[1295] 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).

[1296] 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.

[1297] 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.

[1298] 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).

[1299] 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.

[1300] 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.

[1301] 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.

[1302] 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.

[1303] 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.

[1304] 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.

[1305] 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."

[1306] The present invention is a system that proposes optimal recipes based on a user's individual dietary goals, preferences, allergy information, and diet method, and allows the user to easily purchase the ingredients and cooking utensils required for those recipes. The processing of the system's program is explained below in natural language.

[1307] 1. User Input Processing

[1308] Device:

[1309] When a user launches the application, an interface appears, allowing the user to enter their dietary goals, food preferences, allergy information, and diet method. After the user enters this information, the device validates the input data to ensure there are no missing or incorrect information. Correctly entered data is sent to the server.

[1310] 2. Sending and Receiving Data

[1311] server:

[1312] The server receives user data sent from the device. The server analyzes the received data and searches a recipe database based on the user's dietary goals, preferences, allergy information, and diet method. The server uses an algorithm to select the optimal recipe. The server lists the ingredients and cooking utensils required for the selected recipe and generates a link to purchase them. The generated recipe information, ingredient list, and purchase link are sent to the device.

[1313] 3. Recipe suggestions and presentation to users

[1314] Device:

[1315] The server sends recipe information, an ingredient list, and a purchase link to the user, allowing the user to review the suggested recipe and purchase the necessary ingredients and cooking equipment within the application.

[1316] user:

[1317] Users can find recipes that are best suited to their dietary goals, preferences, allergies, and dietary needs, then cook the meal according to the recipe and click links to purchase the ingredients and cooking equipment they need, completing the online purchase process.

[1318] Specific examples

[1319] User "A" is looking for recipes based on the Mediterranean diet in order to stay healthy. He has a nut allergy, likes fish dishes, and dislikes cheese. User A launches the application and enters this information (staying healthy, likes fish dishes, nut allergy, dislikes cheese, Mediterranean diet). The device sends this data to the server. The server analyzes the received data and filters recipes that match the criteria from an external recipe database. The server then selects the recipe "Grilled Salmon with Lemon Herb Sauce." Since this recipe requires salmon, lemon, herbs, a grill, and a skillet, the server generates a list of these ingredients and cooking utensils, along with links to purchase them, and sends them to the device. The device presents this information to User A, who can then purchase the necessary ingredients and cooking utensils after checking the recipe.

[1320] Effect of the invention

[1321] This system allows users to easily find recipes that best suit their dietary goals, preferences, allergies, and diet methods, and also allows them to purchase the ingredients and cooking equipment they need in one go within the app, greatly improving user convenience.

[1322] The processing flow will be explained below.

[1323] Program processing details

[1324] 1. User Input Processing

[1325] Step 1:

[1326] The user starts a terminal and starts an application, which displays an input form.

[1327] Step 2:

[1328] The user enters their dietary goals (e.g., maintaining good health), preferences (e.g., likes fish dishes, dislikes cheese), allergy information (e.g., nut allergy), and diet method (e.g., Mediterranean diet).

[1329] Step 3:

[1330] The device validates the input data to ensure all required fields are entered correctly, for example, checking that dietary goals and allergy information are included.

[1331] Step 4:

[1332] If the validation is successful, the terminal transmits the entered data to the server.

[1333] 2. Sending and Receiving Data

[1334] Step 5:

[1335] The server receives the data sent from the terminal and begins analyzing it.

[1336] Step 6:

[1337] Based on the data analyzed by the server, the recipe database is searched to select the most suitable recipe, taking into consideration dietary goals, preferences, allergy information, and diet methods.

[1338] Step 7:

[1339] The server filters the search results to find multiple recipes that match the criteria, and an algorithm selects the recipe that best suits the user's criteria.

[1340] 3. Recipe suggestions and presentation to users

[1341] Step 8:

[1342] The server lists the ingredients (e.g., salmon, lemon, herbs) and cooking equipment (e.g., grill, skillet) required for the selected recipe and generates a purchase link based on the list.

[1343] Step 9:

[1344] The server sends the generated recipe information, ingredient list, and purchase link to the terminal.

[1345] Step 10:

[1346] The device displays the recipe information, ingredients list, and purchase link to the user.

[1347] 4. Check the recipe and purchase

[1348] Step 11:

[1349] The user reviews the displayed recipe (e.g., Grilled Salmon with Lemon Herb Sauce).

[1350] Step 12:

[1351] The user clicks on the purchase link provided to purchase the ingredients and cooking equipment they need.

[1352] Specific examples

[1353] User "A" is looking for recipes based on the Mediterranean diet in order to maintain good health. He has a nut allergy, likes fish dishes, and dislikes cheese. User A starts the application and enters information about maintaining good health, liking fish dishes, allergy to nuts, dislikes cheese, and the Mediterranean diet. The device validates this data and sends it to the server. The server analyzes the received data and selects the optimal recipe. The server selects the recipe "Grilled salmon with lemon herb sauce," generates a list of the necessary ingredients and utensils, and a purchase link, and sends them to the device. The device presents the recipe information to User A, who then checks the recipe and purchases the necessary items.

[1354] This process allows users to easily find recipes that fit their needs and quickly purchase the ingredients and cooking equipment they need.

[1355] Example 1

[1356] 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."

[1357] To address today's diverse dietary habits and individual health needs, systems that suggest optimal recipes based on users' dietary goals, preferences, allergy information, and diet methods are needed. However, many such systems struggle to provide personalized suggestions based on detailed user information. Furthermore, there is a lack of systems that allow users to easily purchase the ingredients and cooking equipment needed for the suggested recipes, preventing consistent user convenience.

[1358] 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.

[1359] In this invention, the server includes means for inputting a user's dietary goals, preferences, allergy information, and diet method, means for validating and analyzing the input information, means for transmitting the input information to the server, means for searching for and selecting an optimal recipe based on the user's dietary goals, preferences, allergy information, and diet method on the server, means for listing necessary ingredients and cooking utensils based on the searched and selected recipe, means for generating links for purchasing the listed ingredients and cooking utensils, and means for presenting the generated recipe information, list of ingredients and cooking utensils, and purchase links to the user. This enables users to easily find recipes that meet their specific dietary needs and purchase the ingredients and cooking utensils required for those recipes all at once.

[1360] A "user" is an individual or organization that uses the system and inputs information such as dietary goals, preferences, allergy information, and diet methods.

[1361] A "dietary goal" is a dietary goal that a user wants to achieve, such as losing weight or staying healthy.

[1362] "Preferences" refers to information about individual preferences, such as the types of ingredients and dishes that a user likes, or the types of ingredients and dishes that a user does not like to eat.

[1363] "Allergy Information" is information about foods to which the user has an allergic reaction, and is a list of foods that should be avoided to protect the user's health.

[1364] "Diet Method" refers to the specific dietary restrictions or eating habits adopted by the user, such as a keto diet or Mediterranean diet.

[1365] "Input means" refers to an interface and device that allows a user to input information such as dietary goals, preferences, allergy information, and diet methods into the system.

[1366] "Validation" is the process of ensuring that the data entered by the user is accurate and complete.

[1367] "Means of analysis" refers to algorithms or software that analyze users' conditions and needs based on input information.

[1368] "Means of transmission" refers to the communication protocols and functions for sending user input data from the terminal to the server.

[1369] "Search and selection means" refers to algorithms or systems that search for and select the best recipes from a database that meet the user's requirements.

[1370] The "listing means" is a function or device that creates a list of necessary ingredients and cooking utensils based on the selected recipe.

[1371] "Links to Purchase" are the URLs or hyperlinks necessary to purchase the listed ingredients or cooking equipment online.

[1372] The "presentation means" refers to an interface or device that displays the generated recipe information, list of ingredients and cooking utensils, and purchase links in an easy-to-view format for the user.

[1373] A "generative AI model" is an artificial intelligence algorithm or learning model used to suggest optimal recipes based on a user's preferences and conditions.

[1374] This invention is a system that suggests optimal recipes based on a user's individual dietary goals, preferences, allergy information, and diet methods, and allows the user to easily purchase the ingredients and cooking utensils required for those recipes.

[1375] 1. User Input Processing

[1376] Device:

[1377] When a user launches the application, an interface appears where they can enter their dietary goals, preferences, allergy information, and diet method. The device validates the entered information to ensure there are no missing or incorrect information. Specifically, validation includes front-end validation using JavaScript, for example. Correctly entered data is sent to the server.

[1378] 2. Data transmission

[1379] Device:

[1380] The device uses a secure protocol (e.g., HTTPS) to transmit the validated data to the server, where the transmitted data is user profile information such as dietary goals, preferences, allergy information, and diet methods.

[1381] 3. Data Receipt and Analysis

[1382] server:

[1383] The server receives user data sent from the device, stores it in a database system (e.g., MySQL or PostgreSQL), and runs algorithms to analyze the user's dietary goals, preferences, allergy information, and diet methods. This analysis involves data analysis techniques using languages ​​such as Python and R.

[1384] 4. Selection of the optimal recipe

[1385] server:

[1386] Based on the analysis results, a recipe database (such as MongoDB or Firebase) is searched. Candidate recipes that meet the user's criteria are listed, and the optimal recipe is selected using weighting and scoring of multiple criteria. A generative AI model can then be used to make personalized recipe suggestions based on the user's preferences and criteria.

[1387] 5. Generating recipe information and links

[1388] server:

[1389] The system extracts the details of the selected recipe and generates a list of the ingredients and utensils required. This process processes the data retrieved from the recipe database and formats it into a user-friendly format. It also generates links to purchase the listed ingredients and utensils and sends the data to the device.

[1390] 6. Receiving and displaying recipe information

[1391] Device:

[1392] Receive the recipe information, ingredients list, and purchase link sent from the server. Display this information in the application interface, presenting it in a user-friendly format. For example, this can be achieved using a modern front-end framework such as React or Vue.js.

[1393] 7. User Actions

[1394] user:

[1395] The user reviews the displayed recipe information, ingredient list, and purchase links. If necessary, they click on links to purchase ingredients and cooking equipment and complete the online checkout process. This completes the process and the user can begin cooking according to the suggested recipe.

[1396] Specific examples

[1397] User "A" is looking for recipes based on the Mediterranean diet in order to stay healthy. He has a nut allergy, likes fish dishes, and dislikes cheese. User A launches the application and enters this information (staying healthy, likes fish dishes, nut allergy, dislikes cheese, Mediterranean diet). The device correctly validates this data and sends it to the server. The server analyzes the received data and selects an appropriate recipe. In this case, the recipe "Grilled Salmon with Lemon Herb Sauce" is selected. The server generates a list of ingredients (salmon, lemon, herbs) and cooking equipment (grill pan) required for this recipe and sends a link to purchase them to the device. The device presents this information to User A, who can then purchase the necessary ingredients and cooking equipment and cook the dish according to the suggested recipe.

[1398] Prompt Sentence Examples

[1399] "Please suggest some Mediterranean recipes aimed at maintaining good health that are suitable for people with nut allergies."

[1400] "We're looking for recipes that are perfect for people who love fish but don't like cheese."

[1401] This way, users can easily find the perfect recipe that meets their specific dietary needs and purchase the ingredients and cooking equipment needed for that recipe all in one place.

[1402] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1403] Step 1: Process User Input

[1404] Device:

[1405] When a user launches the application, an interface is displayed for entering dietary goals, preferences, allergy information, and diet methods. The user enters this information into a form. The form incorporates mandatory field checks and input format checks to validate that there are no missing or error information. If the input data passes validation, it is sent to the server.

[1406] Input: User's dietary goals, preferences, allergy information, diet method

[1407] Output: Data that has passed validation (dietary goals, preferences, allergy information, diet methods)

[1408] Step 2: Sending data

[1409] Device:

[1410] Once the user data has passed validation, it is sent to the server using a secure protocol (e.g. HTTPS), where the data is encrypted to ensure that it is transmitted securely.

[1411] Input: Validated user data

[1412] Output: User data sent to the server

[1413] Step 3: Receiving and storing data

[1414] server:

[1415] Receives user data sent from the device. The received data is stored in a database system (e.g., MySQL or PostgreSQL). The stored data is used for subsequent analysis processing.

[1416] Input: User data sent from the device

[1417] Output: User data stored in the database

[1418] Step 4: Data analysis

[1419] server:

[1420] The stored user data is analyzed using Python and R, and algorithms are applied to extract suitable recipe candidates based on the user's dietary goals, preferences, allergies, and diet methods. The criteria are weighted and scored to select the recipe that best matches the user's criteria.

[1421] Input: User data stored in the database

[1422] Output: A list of suitable recipe candidates

[1423] Step 5: Selecting the optimal recipe

[1424] server:

[1425] Using a generative AI model based on the analysis results, the system selects recipes that best fit the user's preferences and conditions. The model is trained based on past data and feedback from other users, enabling highly accurate recipe suggestions. The selected recipes include information on the necessary ingredients and cooking utensils.

[1426] Input: Recipe candidate list

[1427] Output: Optimized recipe and information on ingredients and cooking equipment required

[1428] Step 6: Generate a purchase link

[1429] server:

[1430] Based on the selected recipe, a link to purchase the necessary ingredients and cooking equipment is generated. The link is generated using the API of the online shopping site and is set up to directly access the purchase page for each item.

[1431] Input: Your best recipe and the ingredients and equipment you need

[1432] Output: A list of ingredients and cooking equipment with purchase links

[1433] Step 7: Receiving and displaying recipe information

[1434] Device:

[1435] The system receives the best recipe information, ingredient list, and purchase link sent from the server, and displays the received information in a user interface so that users can easily check it. Modern front-end frameworks such as React and Vue.js are used for display.

[1436] Input: Recipe information, ingredients list, and purchase link sent from the server

[1437] Output: Information displayed in the user interface

[1438] Step 8: User Actions

[1439] user:

[1440] The user reviews the recipe information, ingredients list, and purchase link displayed, and if necessary, clicks the link to complete the online purchase. After completing the purchase, the user begins cooking according to the suggested recipe.

[1441] Input: Information displayed in the user interface

[1442] Output: Checkout online and start cooking

[1443] (Application example 1)

[1444] 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."

[1445] Today's consumers are becoming increasingly health-conscious, and are increasingly seeking dietary management, diet options, and meals that meet their allergies and preferences. However, many food delivery services are unable to fully address these individual needs. As a result, consumers have to take the trouble of managing their own meals, which is a major challenge, especially for those who are short on time. It also increases the hassle of having to purchase ingredients and cooking equipment separately.

[1446] 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.

[1447] In this invention, the server includes means for inputting a user's dietary goals, preferences, allergy information, and diet method, means for validating and analyzing the input information, means for searching for optimal recipes based on the dietary goals, preferences, allergy information, and diet method, means for listing ingredients and cooking utensils based on the searched recipe, means for generating links for purchasing the listed ingredients and cooking utensils, means for presenting the recipe information, the list of ingredients and cooking utensils, and the purchase links to the user, means for enabling ordering of food based on the recipe information, and means for suggesting optimal recipes to the user using a generative AI model. This enables users to easily find optimal meals that fit their lifestyle and health goals, purchase the necessary ingredients and utensils, and even directly order the food.

[1448] "User" refers to a person who uses the system to input dietary goals, preferences, allergy information, diet methods, etc.

[1449] "Dietary Goal" means a specific dietary goal that a User wishes to achieve (e.g., weight loss, muscle building, health maintenance, etc.).

[1450] "Preferences" refers to the types of ingredients and dishes that a user prefers.

[1451] "Allergy Information" refers to information about food allergies that a User has.

[1452] "Diet" refers to a particular diet or nutritional regimen (e.g., ketogenic, Mediterranean, etc.) adopted by a User.

[1453] "Validation" refers to the process of ensuring that entered data is accurate and complete.

[1454] "Analysis" refers to the process of using input data to make suggestions and choices that best suit the user's needs.

[1455] "Optimal recipes" refer to recipes selected based on the user's dietary goals, preferences, allergy information, and diet method.

[1456] "Listing" refers to making a list of the ingredients and cooking utensils needed based on the selected recipe.

[1457] "Purchase Link" means a link that enables a User to purchase the listed ingredients and cooking equipment online.

[1458] "Recipe information" refers to detailed information about the specific cooking method and the ingredients and equipment required.

[1459] "Ordering food" refers to the act of a user actually ordering food through a delivery service based on a suggested recipe.

[1460] "Generative AI model" refers to a machine learning model used to analyze user input data and suggest optimal recipes.

[1461] In order to implement the present invention, it is necessary to construct the following system.

[1462] Hardware Configuration

[1463] User device: A device on which users input their dietary goals, preferences, allergy information, and diet methods. This includes smartphones, tablets, and PCs.

[1464] Server: A centralized device that analyzes input user information and selects the optimal recipe. It connects to a database and processes data in real time.

[1465] Food delivery platform: A system for ordering and delivering actual food based on suggested recipes.

[1466] Software Configuration

[1467] 1. User information validation and submission processing:

[1468] Front-end: Create input forms using modern JavaScript frameworks such as React or Vue.js.

[1469] Backend: Use a web framework such as Flask or Django to implement validation logic and information submission functionality.

[1470] 2. Data analysis and recipe selection:

[1471] Analytics engine: A Python-based analytics engine that leverages generative AI models (e.g., GPT-3) to analyze data.

[1472] Recipe database: Use a SQL or NoSQL database (e.g., MySQL, MongoDB) to store multiple recipes.

[1473] 3. Proposal and order link generation:

[1474] Link Generation System: Contains the logic to generate links that allow users to easily purchase ingredients and cooking equipment.

[1475] 4. User Interface:

[1476] Application UI: Provides an interface for users to browse suitable recipes, purchase ingredients and cooking equipment, and order meals.

[1477] Specific system processing example

[1478] 1. User input processing:

[1479] The user launches the application and enters their dietary goals (e.g., weight loss), preferences (e.g., preference for fish dishes), allergy information (e.g., nut allergy), and diet method (e.g., Mediterranean diet) into the interface.

[1480] Example: "I'm looking for Mediterranean recipes to help me stay healthy. I have a nut allergy, I like fish dishes, and I don't like cheese."

[1481] 2. Data transmission and analysis:

[1482] The server analyzes the received user information, searches the recipe database, and selects the optimal recipe. The analysis is performed using a generative AI model (e.g., OpenAI GPT-3).

[1483] Example sentence: "Dietary goal: Maintain good health, Preferences: Likes fish dishes, Allergy information: Allergy to nuts, Diet method: Please suggest the best recipes based on the Mediterranean diet."

[1484] 3. Recipe suggestions and purchase link generation:

[1485] The server sends the selected recipe information to the user's device, and the user can view the suggested recipes in the interface, and is provided with links to purchase the necessary ingredients and cooking equipment.

[1486] Example: "The perfect recipe for you is Grilled Salmon with Lemon and Herb Sauce. Ingredients: Salmon, lemon, and herbs. Equipment: Grill, skillet."

[1487] 4. Food Ordering:

[1488] A means is provided for users to order food based on suggested recipes.

[1489] Example: "To order this dish, click on this link."

[1490] This allows users to easily find, shop and order the best meals that fit their lifestyle and health goals.

[1491] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1492] Step 1:

[1493] The user uses the device to input their dietary goals, preferences, allergy information, and diet method.

[1494] Input: dietary goals, preferences, allergy information, diet method

[1495] Data processing: Validating the entered information

[1496] Output: Validated user information

[1497] Step 2:

[1498] The device sends the validated user information to the server.

[1499] Input: Validated user information

[1500] Data calculation: information transmission processing

[1501] Output: User information received by the server

[1502] Step 3:

[1503] The server analyzes user information and uses a generative AI model (e.g., GPT-3) to find the best recipe.

[1504] Input: User information

[1505] Data Computing: Analysis and Recipe Search Using Generative AI Models

[1506] Output: Optimal recipe information

[1507] Step 4:

[1508] The server lists the ingredients and cooking equipment needed for the best recipe and generates links to purchase them.

[1509] Input: Optimal recipe information

[1510] Data calculation: Listing ingredients and cooking utensils, generating purchase links

[1511] Output: Ingredient list, cooking utensil list, purchase link

[1512] Step 5:

[1513] The server sends the generated recipe information, ingredient list, cooking utensil list, and purchase link to the terminal and presents them to the user.

[1514] Input: Recipe information, ingredients list, cooking equipment list, purchase link

[1515] Data calculation: information transmission processing

[1516] Output: Information to present to the user

[1517] Step 6:

[1518] Users can check the optimal recipes presented on their device and purchase the necessary ingredients and cooking equipment within the application.

[1519] Input: Recipe information, ingredients list, cooking equipment list, purchase link

[1520] Data processing: User verification and purchase processing

[1521] Output: Purchased ingredients and cooking equipment

[1522] Step 7:

[1523] Users order food based on suggested recipes.

[1524] Input: Recipe information, food ordering link

[1525] Data processing: food order processing

[1526] Output: Ordered food

[1527] 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.

[1528] Program processing details

[1529] 1. User Input Processing

[1530] The user starts the device and launches the application. The interface is displayed, and the user enters their dietary goals, food preferences, allergy information, and diet method. The device then validates the input data to ensure there are no omissions or errors. Correctly entered data is then sent to the server.

[1531] 2. Emotion Engine Processing

[1532] The device has an emotion engine that recognizes emotions from the user's facial expressions, tone of voice, text input, etc. The emotion engine analyzes the user's real-time emotional state and determines whether it is joy, stress, anxiety, etc.

[1533] 3. Sending and Receiving Data

[1534] The server receives the data sent from the device and begins analysis. It also receives emotional data from the emotion engine. Using this data, the server searches the recipe database based on the user's dietary goals, preferences, allergy information, diet method, and emotional state. The server uses an algorithm to select the optimal recipe, list the necessary ingredients and cooking utensils, and generate a purchase link based on the list. The generated recipe information, ingredient list, and purchase link are sent to the device.

[1535] 4. Recipe suggestions and presentation to users

[1536] The device will display the recipe information, ingredients list, and purchase link to the user, who can then review the suggested recipe and purchase the necessary ingredients and utensils within the app.

[1537] 5. Check the recipe and purchase

[1538] The user reviews the displayed recipe (e.g., Grilled Salmon with Lemon Herb Sauce). The user clicks on the displayed purchase link to purchase the necessary ingredients and cooking equipment.

[1539] Specific examples

[1540] User "B" is looking for recipes based on the Mediterranean diet to stay healthy. User B is feeling stressed and wants to eat something that will help him relax. He has a nut allergy, likes fish dishes, and dislikes cheese. User B launches the application and enters information about staying healthy, liking fish dishes, allergy to nuts, dislikes cheese, and the Mediterranean diet. The emotion engine then analyzes User B's emotional state and detects stress. The device sends this data to the server. The server analyzes the received data and selects the optimal recipe. For example, a recipe called "Grilled Salmon with Lemon Herb Sauce" is selected. This recipe requires salmon, lemon, herbs, a grill, and a skillet. The server generates a list of the ingredients and cooking utensils, along with a purchase link, and sends this to the device. The device presents the recipe information to User B, who then checks the recipe and purchases the necessary items.

[1541] This process allows users to easily retrieve recipes that fit their emotional state and dietary needs, and quickly purchase the necessary ingredients and cooking equipment.

[1542] The processing flow will be explained below.

[1543] Program processing details

[1544] 1. User Input Processing

[1545] Step 1:

[1546] The user starts a terminal and starts an application, which displays an input form.

[1547] Step 2:

[1548] The user enters their dietary goals (e.g., maintaining good health), preferences (e.g., likes fish dishes, dislikes cheese), allergy information (e.g., nut allergy), and diet method (e.g., Mediterranean diet).

[1549] Step 3:

[1550] The device validates the input data to ensure all required fields are entered correctly, for example, checking that dietary goals and allergy information are included.

[1551] Step 4:

[1552] If the validation is successful, the terminal transmits the entered data to the server.

[1553] 2. Emotion Engine Processing

[1554] Step 5:

[1555] The device activates an emotion engine that recognizes emotions from the user's facial expressions, tone of voice, text input, etc.

[1556] Step 6:

[1557] The emotion engine analyzes the user's emotional state and determines whether it is joy, stress, anxiety, etc.

[1558] Step 7:

[1559] The emotion engine sends the analysis results to the terminal, and the terminal then sends the data to the server.

[1560] 3. Sending and Receiving Data

[1561] Step 8:

[1562] The server receives the data (dietary goals, preferences, allergy information, diet methods, and emotional data) sent from the terminal.

[1563] Step 9:

[1564] The server analyzes the received data and searches a recipe database based on dietary goals, preferences, allergy information, dietary methods, and emotional state.

[1565] Step 10:

[1566] The server filters the search results to find multiple recipes that match the criteria, and an algorithm selects the recipe that best suits the user's criteria.

[1567] 4. Recipe suggestions and presentation to users

[1568] Step 11:

[1569] The server lists the ingredients (e.g., salmon, lemon, herbs) and cooking equipment (e.g., grill, skillet) required for the selected recipe and generates a purchase link based on the list.

[1570] Step 12:

[1571] The server sends the generated recipe information, ingredient list, and purchase link to the terminal.

[1572] Step 13:

[1573] The device displays the recipe information, ingredients list, and purchase link to the user.

[1574] 5. Check the recipe and purchase

[1575] Step 14:

[1576] The user reviews the displayed recipe (e.g., Grilled Salmon with Lemon Herb Sauce).

[1577] Step 15:

[1578] The user clicks on the purchase link provided to purchase the ingredients and cooking equipment they need.

[1579] Specific examples

[1580] User "B" is looking for Mediterranean-based recipes to stay healthy. He is stressed and wants to find a relaxing dish. He has a nut allergy, likes fish dishes, and dislikes cheese.

[1581] Step 1:

[1582] User B launches the application and enters information about staying healthy, liking fish dishes, having a nut allergy, disliking cheese, and following a Mediterranean diet.

[1583] Step 2:

[1584] The terminal validates the input data and sends it to the server.

[1585] Step 3:

[1586] The device activates an emotion engine and analyzes User B's stress level from his / her facial expressions and tone of voice.

[1587] Step 4:

[1588] The emotion engine transmits the emotion data to the terminal, and the terminal transmits the data to the server.

[1589] Step 5:

[1590] The server receives the data, analyzes it, and selects the optimal recipe (e.g., grilled salmon with lemon herb sauce).

[1591] Step 6:

[1592] The server generates a list of the necessary ingredients and cooking equipment along with a purchase link and sends it to the device.

[1593] Step 7:

[1594] The device presents User B with recipe information and a purchase link.

[1595] Step 8:

[1596] User B checks the recipe and purchases the necessary items.

[1597] This process allows User B to obtain recipes that fit their emotional state and dietary needs, and quickly purchase the necessary ingredients and cooking equipment.

[1598] Example 2

[1599] 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."

[1600] Conventional recipe suggestion systems typically provide recipes based on the user's dietary goals, preferences, allergy information, and diet methods, but do not consider the user's emotional state. This makes it difficult to select recipes that reflect the user's emotions, making it difficult to provide an optimal dining experience. Furthermore, selecting recipes without considering the user's emotional state can cause stress and anxiety, resulting in reduced satisfaction.

[1601] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for inputting the user's dietary goals, preferences, allergy information, and diet method, means for validating and analyzing the input information, means including an emotion engine for recognizing and analyzing the user's emotions, and means for searching for optimal recipes based on the user's dietary goals, preferences, allergy information, diet method, and emotional state. This makes it possible to suggest recipes taking into consideration the user's real-time emotional state in addition to their dietary goals, preferences, allergy information, and diet method.

[1602] A "user" is an entity that uses this system to input their dietary goals, preferences, allergy information, and diet methods, and receives recipe suggestions.

[1603] "Terminal" means a device used to provide user input and display recipe information and other related information.

[1604] The "server" is the part of the system that receives the data sent from the device and searches for the best recipe based on dietary goals, preferences, allergy information, dietary methods and emotional state.

[1605] "Dietary goal" refers to a dietary goal that a user wishes to achieve, such as maintaining good health or losing weight.

[1606] "Preferences" refers to the type or style of food a user prefers.

[1607] "Allergy information" refers to information about a user's allergies to specific ingredients.

[1608] "Diet Method" means a particular diet method or plan that a User is following or intends to follow.

[1609] "Validation" is the process of checking whether the data entered by the user is correct and whether there are any omissions or errors.

[1610] The "Emotion Engine" is a function that analyzes a user's emotional state in real time based on facial expressions, tone of voice, text input, etc.

[1611] "Emotional state" refers to the psychological state a user is feeling, such as joy, stress, or anxiety.

[1612] A "recipe" is information that includes instructions and a list of ingredients needed to prepare a particular dish.

[1613] "Listing" is the act of listing the ingredients and cooking utensils needed based on specific conditions.

[1614] "Link" means a URL that a user can click to go to a specific web page or purchasing site.

[1615] "Search" is the process of identifying the best recipe from the database based on the user's input information and emotional state.

[1616] "Presenting" is the act of displaying information (recipe information, ingredient list, purchase link, etc.) to the user.

[1617] This invention is a system that provides optimal recipes based on a user's dietary goals, preferences, allergy information, diet method, and emotional state. The system consists of a terminal and a server, and operates by combining a user interface, an emotion recognition engine, a recipe database, and algorithms.

[1618] First, the user starts the device and launches a dedicated application. The device then displays an interface that prompts the user to enter various information. The user enters their dietary goals, preferences, allergy information, and diet method. For example, they can enter information such as "maintaining good health," "likes fish dishes," "nut allergy," and "Mediterranean diet." The entered data is validated on the device to ensure there are no omissions or errors. Data that has been entered correctly is then sent to the server.

[1619] The device then activates an emotion engine to analyze the user's facial expressions and tone of voice. The emotion engine uses technologies such as OpenFace and Microsoft Azure's emotion recognition API to analyze the user's real-time emotional state, capturing emotions such as stress, anxiety, and joy, and sends the data to a server.

[1620] The server receives the user's dietary goals, preferences, allergy information, diet methods, and emotional data from the device. Using this data, the server uses algorithms written in Python and R to search a recipe database stored in a MySQL database. For example, based on keywords such as "Mediterranean diet," "stress reduction," and "fish dishes," the server selects the optimal recipe, such as "grilled salmon with lemon herb sauce."

[1621] Based on the selected recipe, the server generates a list of ingredients and cooking equipment needed. The ingredients include salmon, lemon, herbs, etc., and cooking equipment includes a grill and skillet. The server uses Amazon's API to generate purchase links for the ingredients and cooking equipment. The generated recipe information, ingredient list, and purchase links are sent to the device.

[1622] The device displays the recipe information, ingredient list, and purchase link to the user. The user can review this information and, if necessary, purchase ingredients and cooking equipment within the app. This allows users to easily obtain recipes that suit their emotional state and dietary needs, and quickly purchase the necessary ingredients and tools.

[1623] Specific examples

[1624] For example, user "B" is looking for recipes based on the Mediterranean diet to stay healthy. User B is feeling stressed and wants to eat something that will help him relax. He has a nut allergy, likes fish dishes, and dislikes cheese. User B launches the application and enters information about staying healthy, liking fish dishes, allergy to nuts, dislikes cheese, and the Mediterranean diet. The emotion engine also analyzes User B's emotional state and detects stress. The device sends this data to the server. The server analyzes the data and selects the optimal recipe. For example, a recipe called "Grilled Salmon with Lemon Herb Sauce" is selected. This recipe includes salmon, lemon, herbs, etc., and requires a grill and skillet. The server generates a list of ingredients and cooking utensils along with a purchase link and sends them to the device. The device presents the recipe information to User B, who can then purchase the necessary items after checking the recipe.

[1625] Prompt Sentence Examples

[1626] Below are some example prompts to input to the generative AI model:

[1627] I'm looking for Mediterranean recipes to help me stay healthy. I have a nut allergy, I love fish, but I hate cheese. I'm also stressed, so I'd like some relaxing food.

[1628] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1629] Step 1: The user boots up the device and starts the application.

[1630] Specifically, a user turns on their smartphone or tablet and taps the app icon on the home screen, which launches the application and displays the login screen and home screen.

[1631] Input: None

[1632] Output: Initial screen of the application

[1633] Step 2: The terminal displays the interface and the user enters data.

[1634] The terminal displays an interface with input fields for dietary goals, preferences, allergy information, diet methods, etc. The user enters data into these fields and presses the submit button.

[1635] Input: User's dietary goals, preferences, allergy information, diet method

[1636] Output: Collecting user input data

[1637] Step 3: The device validates the data and sends it to the server.

[1638] The terminal performs a validation process to check whether the data entered by the user is correct and whether there are any missing or incorrect information. If the validation is successful, the terminal sends the data to the server.

[1639] Input: User-entered data

[1640] Output: Send validated data to the server

[1641] Step 4: The device starts the emotion engine and generates emotion data.

[1642] The device activates the emotion engine, which uses the camera and microphone to capture the user's facial expressions and tone of voice. The emotion engine analyzes this information and determines the user's emotional state (e.g., stress, anxiety, joy), and sends the determined emotion data to the server.

[1643] Input: User facial expressions and tone of voice

[1644] Output: Send emotion data to the server

[1645] Step 5: The server analyzes the received data and selects the optimal recipe.

[1646] The server receives information about dietary goals, preferences, allergies, diet methods, and emotional data sent from the device, and uses this information to search a MySQL database using algorithms written in Python and R to select the optimal recipe.

[1647] Input: dietary goals, preferences, allergy information, diet methods, emotional data

[1648] Output: Selection of optimal recipe

[1649] Step 6: The server generates a list of ingredients and a purchase link and sends it to the device.

[1650] The server generates a list of ingredients and cooking utensils required based on the selected recipe, and then uses Amazon's API to generate purchase links for these ingredients and cooking utensils. The generated information is then sent to the device.

[1651] Input: Selected recipe

[1652] Output: Ingredient list, cooking utensil list, purchase link

[1653] Step 7: The device displays the recipe information and the user confirms it.

[1654] The device displays the recipe information, ingredient list, and purchase link received from the server to the user, who can then confirm the recipe details.

[1655] Input: Recipe information received from the server, ingredient list, purchase link

[1656] Output: Display recipe information

[1657] Step 8: The user clicks on the link to purchase the ingredients and cooking equipment.

[1658] When users click on the purchase link displayed on their device, a browser opens and they are taken to the purchasing site, where they can complete the process of purchasing the ingredients and cooking equipment they want.

[1659] Input: Purchase Link

[1660] Output: Access to purchase site

[1661] The entire system works in this way, suggesting optimal recipes based on the user's input and allowing them to easily purchase the ingredients and cooking equipment needed for those recipes.

[1662] (Application example 2)

[1663] 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."

[1664] The present invention aims to provide optimal recipes by simultaneously considering multiple factors related to a user's diet (dietary goals, preferences, allergy information, diet methods) and their real-time emotional state. Conventional meal recommendation systems do not suggest recipes that take the user's emotional state into account, making it difficult to suggest meals that are appropriate for the user's psychological state. It is also difficult to smoothly order ingredients and cooking utensils based on the suggested recipe and use immediate delivery. There is a need to solve these problems and provide users with more personalized meal suggestions and fast purchasing and delivery services.

[1665] 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 inputting the user's dietary goals, preferences, allergy information, and diet method; means for validating and analyzing the input information; means for searching for optimal recipes based on the dietary goals, preferences, allergy information, and diet method; emotion recognition means for analyzing the user's emotional state in real time; means for utilizing the analyzed emotion data in recipe selection; means for listing the necessary ingredients and cooking utensils based on the searched recipe; means for generating links for purchasing the listed ingredients and cooking utensils; and means for presenting the user with recipe information, the list of ingredients and cooking utensils, and the purchase links. This enables optimal recipes tailored to the user's emotional state and dietary needs to be suggested, enabling the user to quickly purchase the necessary ingredients and cooking utensils and use delivery services.

[1666] "Dietary goal" refers to a specific dietary goal that a user wishes to achieve.

[1667] "Preferences" refers to a user's likes and dislikes and personal preferences regarding food and drink.

[1668] "Allergy Information" refers to information about specific ingredients or substances to which a User has an allergic reaction.

[1669] "Diet Method" refers to a particular dietary restriction or eating strategy or plan adopted by a User.

[1670] "Validation" refers to the process of ensuring that entered information is accurate and complete.

[1671] "Means for analysis" refers to the mechanism for analyzing the input data in detail and extracting meaningful information.

[1672] The "optimal recipe" refers to the cooking method that best suits the user's individual requirements and emotional state.

[1673] "Emotion recognition means" refers to technology or devices for analyzing a user's real-time emotional state.

[1674] "Means for utilizing in recipe selection" refers to a mechanism for utilizing analyzed emotional data in recipe search and selection.

[1675] "Means for listing ingredients and utensils required" refers to the process of creating a list of ingredients and utensils required based on the selected recipe.

[1676] "Link Generation Means" refers to a mechanism that generates online links to enable users to easily purchase the ingredients or cooking equipment they need.

[1677] "Recipe information" refers to detailed data about how to prepare a dish and the ingredients needed.

[1678] "Presentation means" refers to a method or device that visually or physically presents information to a user.

[1679] This system provides optimal recipes by simultaneously considering a user's dietary information and real-time emotional state, and promotes the purchase and delivery of ingredients and cooking utensils. The system consists of a user's device, an emotion recognition engine, a server, and a delivery management system.

[1680] System Configuration

[1681] 1. User Input Processing

[1682] Users use the terminal to input their dietary goals, preferences, allergy information, and diet methods. The terminal validates this input information to check for omissions and errors, and then sends highly accurate data to the server.

[1683] 2. Emotion Engine Processing

[1684] The user device is equipped with an emotion recognition engine that analyzes the user's facial expressions and tone of voice to recognize their real-time emotional state. The technology used can be an existing emotion recognition engine such as "Amazon Rekognition."

[1685] 3. Sending and Receiving Data

[1686] The server receives the dietary information and emotional data sent from the device, analyzes this data, and searches a database for the optimal recipe that matches the user's dietary goals, preferences, allergy information, diet method, and emotional state.

[1687] 4. Recipe suggestions and detailed display

[1688] The server sends the selected recipe information to the terminal and presents it to the user, including a detailed list of the ingredients and cooking utensils required.

[1689] 5. Generate purchase links and delivery options

[1690] Based on the selected recipe, the server generates links to purchase the necessary ingredients and cooking equipment, and uses a delivery management system (such as the Uber Eats API) to check whether the suggested recipe is available for delivery and present delivery options to the user.

[1691] Specific examples

[1692] Consider a scenario where user "B" launches an application and searches for Mediterranean recipes aimed at maintaining health. User "B" has a nut allergy, dislikes cheese, and likes fish dishes. User "B" is also currently feeling stressed and would like a relaxing meal. The emotion engine analyzes User "B's" emotional state and detects stress. The device sends this information to the server, which then selects the most suitable recipe. For example, a recipe called "Grilled Salmon with Lemon Herb Sauce" is selected. This recipe requires salmon, lemon, herbs, a grill, and a skillet. The server generates a list of ingredients and cooking utensils and sends a purchase link and delivery options to the device. The device presents this information to User "B," allowing User "B" to quickly purchase and have the food delivered.

[1693] Examples of prompt statements

[1694] "I'm on a diet and have a nut allergy. I'm feeling stressed right now, so can you recommend some recipes that will help me reduce stress?"

[1695] The system allows users to receive personalized recipe suggestions that match their emotional state and dietary needs, conveniently purchase the necessary ingredients and cooking equipment, and use delivery services.

[1696] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1697] Step 1:

[1698] The user starts the terminal and starts the application. The user inputs their dietary goals, preferences, allergy information, and diet method. The terminal validates this input data and checks for omissions and errors. At this time, the terminal sends the correctly entered data to the server. The input is information about dietary goals, preferences, allergy information, and diet method, and the output is the validated information.

[1699] Step 2:

[1700] The emotion recognition engine installed on the device analyzes the user's facial expressions and tone of voice to recognize their real-time emotional state. The emotion recognition engine uses, for example, Amazon Rekognition. The input is the user's facial image and voice data, and the output is their emotional state (e.g., joy, stress, anxiety, etc.). The device sends this emotional data to a server.

[1701] Step 3:

[1702] The server receives the user's dietary goals, preferences, allergy information, diet methods, and emotional data sent from the device and analyzes this data. The input is user information and emotional data, and the output is the analysis results. The server searches the recipe database based on these analysis results and selects the optimal recipe.

[1703] Step 4:

[1704] The server creates a list of ingredients and utensils required based on the selected recipe. The input is the selected recipe information, and the output is the list of ingredients and utensils. The server also generates links to purchase the listed ingredients and utensils.

[1705] Step 5:

[1706] The server sends the generated recipe information, a list of ingredients and cooking utensils, and a purchase link to the terminal. The input is the list and link generation results, and the output is data for the user to confirm.

[1707] Step 6:

[1708] The device displays the submitted recipe information, a list of ingredients and utensils, and a purchase link to the user. The input is data from the server, and the output is the display information for the user to review. The user reviews the suggested recipe and purchases the necessary ingredients and utensils within the application.

[1709] Step 7:

[1710] The user clicks on the displayed purchase link to purchase the necessary ingredients and cooking equipment. The input is the purchase link, and the output is confirmation of purchase completion. A delivery management system (e.g., Uber Eats API) is used to check whether the selected meal is available for delivery and provide delivery options.

[1711] Each step processes the entire system, suggesting recipes that best suit the user's emotional state and dietary needs, allowing them to conveniently purchase ingredients and cooking equipment, and enjoy fast delivery services.

[1712] 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.

[1713] 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.

[1714] 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.

[1715] 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.

[1716] 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.

[1717] 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.

[1718] 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).

[1719] 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.

[1720] 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."

[1721] 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.

[1722] 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).

[1723] 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.

[1724] 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.

[1725] 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.

[1726] 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.

[1727] 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.

[1728] 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.

[1729] 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.

[1730] 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.

[1731] 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.

[1732] 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.

[1733] The following is further disclosed regarding the above embodiment.

[1734] (Claim 1)

[1735] a means for inputting the user's dietary goals, preferences, allergy information, and diet method;

[1736] A means for validating and analyzing the entered information;

[1737] A way to find the perfect recipe based on your dietary goals, preferences, allergy information, and diet method.

[1738] A means for listing the ingredients and cooking equipment needed based on the recipe retrieved;

[1739] a means for generating links to purchase the listed ingredients and cooking equipment;

[1740] A system that includes a means for presenting recipe information, a list of ingredients and cooking equipment, and a purchase link to a user.

[1741] (Claim 2)

[1742] 2. The system according to claim 1, wherein the input information is sent to a server, and the server searches for and selects a recipe.

[1743] (Claim 3)

[1744] 10. The system of claim 1, wherein the system allows a user to purchase ingredients and cooking equipment based on a selected recipe directly within the application.

[1745] "Example 1"

[1746] (Claim 1)

[1747] a means for inputting the user's dietary goals, preferences, allergy information, and diet method;

[1748] A means for validating and analyzing the entered information;

[1749] means for transmitting the input information to a server;

[1750] A means for searching and selecting optimal recipes based on the user's dietary goals, preferences, allergy information, and diet method on the server;

[1751] A means for listing ingredients and cooking equipment required based on the searched and selected recipe;

[1752] a means for generating links to purchase the listed ingredients and cooking equipment;

[1753] The system includes a means for presenting the generated recipe information, ingredient and utensil lists, and purchase links to the user.

[1754] (Claim 2)

[1755] 10. The system of claim 1, wherein the system allows a user to purchase ingredients and cooking equipment based on a selected recipe directly within the application.

[1756] (Claim 3)

[1757] The system described in claim 1 uses a generative AI model to suggest recipes that best suit the user's preferences and conditions, and generates links to the ingredients and cooking utensils required for those recipes.

[1758] "Application Example 1"

[1759] (Claim 1)

[1760] a means for inputting the user's dietary goals, preferences, allergy information, and diet method;

[1761] A means for validating and analyzing the entered information;

[1762] A way to find the perfect recipe based on your dietary goals, preferences, allergy information, and diet method.

[1763] A means for listing ingredients and cooking equipment based on the retrieved recipe;

[1764] a means for generating links to purchase the listed ingredients and cooking equipment;

[1765] A means of presenting users with recipe information, a list of ingredients and utensils, and a purchase link;

[1766] a means for enabling ordering of food based on recipe information;

[1767] A means to suggest optimal recipes to users using generative AI models, and

[1768] A system including:

[1769] (Claim 2)

[1770] 2. The system according to claim 1, wherein the input information is sent to a server, and the server searches for and selects a recipe.

[1771] (Claim 3)

[1772] 10. The system of claim 1, wherein the system allows a user to purchase ingredients and cooking equipment based on a selected recipe directly within the application.

[1773] "Example 2: Combining Emotion Engines"

[1774] (Claim 1)

[1775] a means for inputting the user's dietary goals, preferences, allergy information, and diet method;

[1776] A means for validating and analyzing the entered information;

[1777] means including an emotion engine for recognizing and analyzing user emotions;

[1778] A way to find the perfect recipe based on your dietary goals, preferences, allergy information, dietary habits, and emotional state;

[1779] A means for listing the ingredients and cooking equipment needed based on the recipe retrieved;

[1780] a means for generating links to purchase the listed ingredients and cooking equipment;

[1781] A system that includes a means for presenting recipe information, a list of ingredients and cooking equipment, and a purchase link to a user.

[1782] (Claim 2)

[1783] 2. The system of claim 1, wherein the input information and emotion data are transmitted to a server, and the server searches for and selects recipes.

[1784] (Claim 3)

[1785] 10. The system of claim 1, wherein the system allows a user to purchase ingredients and cooking equipment based on a selected recipe directly within the application.

[1786] "Application example 2 when combining emotion engines"

[1787] (Claim 1)

[1788] a means for inputting the user's dietary goals, preferences, allergy information, and diet method;

[1789] A means for validating and analyzing the entered information;

[1790] A way to find the perfect recipe based on your dietary goals, preferences, allergy information, and diet method.

[1791] an emotion recognition means for analyzing the user's emotional state in real time;

[1792] A means of utilizing the analyzed emotional data in recipe selection,

[1793] A means for listing the ingredients and cooking equipment needed based on the recipe retrieved;

[1794] a means for generating links to purchase the listed ingredients and cooking equipment;

[1795] A system including a means for presenting recipe information, ingredient and utensil lists, and purchase links to users.

[1796] (Claim 2)

[1797] 2. The system according to claim 1, wherein the input information and the analyzed emotion data are transmitted to a server, and the server searches for and selects recipes.

[1798] (Claim 3)

[1799] The system of claim 1, wherein the system allows a user to order ingredients and cooking utensils directly within the application based on a selected recipe and enables delivery services. [Explanation of symbols]

[1800] 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 for inputting the user's dietary goals, preferences, allergy information, and diet method; A means for validating and analyzing the entered information; A way to find the perfect recipe based on your dietary goals, preferences, allergy information, and diet method. A means for listing the ingredients and cooking equipment needed based on the recipe retrieved; a means for generating links to purchase the listed ingredients and cooking equipment; and a means for presenting recipe information, a list of ingredients and cooking equipment, and a purchase link to a user.

2. 2. The system according to claim 1, wherein the input information is sent to a server, and the server searches for and selects a recipe.

3. The system of claim 1 , wherein the system allows a user to purchase ingredients and cooking equipment based on a selected recipe directly within the application.

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