System

Abstract

A system is provided.SOLUTION: The system includes a means for acquiring position information of a user, a means for acquiring budget information of the user, a means for acquiring allergy information and favorite meal information of the user, a means for automatically generating a healthy and varied menu based on the acquired user information, and a means for transmitting the generated menu information to the user.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] In modern society, especially in dual-income households, people have limited time to plan their daily menus, create shopping lists, and prepare meals. Furthermore, providing a variety of healthy meals within a budget is no easy task. Reducing food waste and utilizing sales information to save on food costs are also important challenges. Furthermore, creating menus that take into account allergies and individual dietary restrictions is cumbersome. Under these circumstances, a system that can efficiently generate and suggest menus to users is needed. [Means for solving the problem]

[0005] The present invention provides a system including a means for acquiring a user's location information, a means for acquiring a user's budget information, a means for acquiring a user's allergy information and preferred food information, a means for automatically generating a healthy and varied menu based on the acquired user information, and a means for transmitting the generated menu information to the user.

[0006] Furthermore, the system is provided with a means for collecting sale information of nearby stores based on the user's location information, a means for providing the collected sale information to the user, a means for managing past menu history and adjusting new menus so as not to overlap with past menus when creating a new menu, a means for acquiring the user's health condition and nutritional balance information, and a means for adjusting the menu based on the acquired health condition and nutritional balance information, thereby realizing a menu suggestion system that enriches the user's life.

[0007] "Means for obtaining user location information" refers to a device or process that identifies the user's current geographic location and collects that information.

[0008] "Means for obtaining user budget information" refers to a device or process that collects data about the amount a user plans to spend on ingredients and meals.

[0009] "Means for obtaining user's allergy information and preferred dietary information" refers to a device or process that collects information about a user's allergies to specific foods and preferred dietary types.

[0010] "Means for automatically generating a variety of healthy menus based on acquired user information" refers to devices or processes that use collected user-related data to automatically create a variety of nutritionally balanced menus.

[0011] "Means for transmitting generated menu information to a user" refers to a device or process that transmits automatically generated menu data to a user's terminal.

[0012] "Means for collecting sales information from nearby stores based on user location information" refers to a device or process that collects information about special prices and discounted items at stores in the user's surrounding area based on the user's geographic location.

[0013] The "means for providing collected sale information to users" refers to a device or process that notifies users of the collected sale information.

[0014] "Means for managing the history of past menus and adjusting the menus to avoid duplication when creating new menus" refers to devices and processes that record and manage menus provided in the past and adjust the menus to avoid duplication when creating the next menu.

[0015] "Means for acquiring information on the user's health condition and nutritional balance" refers to a device or process that collects information on the user's current health condition and nutritional balance.

[0016] "Means for adjusting menus based on acquired health status and nutritional balance information" refers to devices or processes that adjust menu contents to be healthier based on the collected health status and nutritional balance information. [Brief explanation of the drawings]

[0017] [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

[0018] 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.

[0019] First, the terms used in the following description will be explained.

[0020] 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).

[0021] 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.

[0022] 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.

[0023] 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.

[0024] 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."

[0025] [First embodiment]

[0026] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0027] 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.

[0028] 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).

[0029] 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.

[0030] 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.

[0031] 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.

[0032] 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.

[0033] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0034] 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.

[0035] 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.

[0036] 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.

[0037] 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."

[0038] System Overview

[0039] The present invention is a system that automatically generates menus based on a user's location information, budget, allergy information, and preferred food information. Furthermore, this system also has the function of collecting sales information from nearby stores and providing it to the user. It also has the function of managing past menu history and avoiding duplication when creating a new menu. Furthermore, the system supports healthy eating habits by adjusting the menu taking into account the user's health condition and nutritional balance.

[0040] System Embodiments

[0041] Users access the application using a device such as a smartphone or PC. First, the user enters their location information, food budget, allergy information, and preferred food information. The device then sends this information to the server. The server then stores the received user information in a database. Similarly, when the user provides information about their health status or nutritional balance related to their diet, this information is also sent from the device to the server and stored in the database.

[0042] Next, the server automatically generates a variety of healthy meals based on the user's information. The server considers the user's budget, allergies, and dietary preferences to propose an appropriate meal. The generated meal is sent from the server to the user's device, where the user can review it.

[0043] Furthermore, the server collects sale information from nearby stores based on the user's location information. This allows the user to purchase ingredients efficiently, leading to savings on food costs. The collected sale information is sent from the server to the terminal and provided to the user.

[0044] The server also stores past menu history in a database and adjusts the menu to avoid overlapping with past menus when generating new menus, allowing users to enjoy a variety of meals every day.

[0045] Finally, the server adjusts the menu based on the user's health status and nutritional balance information. This adjustment allows the user to maintain a healthy diet without being deficient in specific nutrients. For example, if the user has high cholesterol, the server will prioritize low-fat menus.

[0046] Specific examples

[0047] For example, suppose a user lives in "Shinjuku Ward, Tokyo," and has entered information such as "Weekly food expenses are less than 5,000 yen," "Wheat allergy," and "Likes Japanese food." In addition, data such as "High cholesterol level" is provided as health information for the user.

[0048] Based on this information, the server generates low-fat, wheat-free menus, mainly consisting of Japanese dishes such as grilled fish, miso soup, and boiled vegetables. It also collects information on special sales from supermarkets and markets around Shinjuku Ward, such as cabbage for 100 yen and chicken for 200 yen / kg, and provides it to users.

[0049] In this way, users can enjoy healthy and varied meals while saving the effort of planning their daily meals. In addition, by utilizing sales information, they can purchase ingredients efficiently within their budget.

[0050] The above is a detailed description of the embodiment of the present invention. This system enables people in dual-income households and those living busy modern lives to achieve healthy and efficient eating habits.

[0051] The processing flow will be explained below.

[0052] Step 1:

[0053] The user launches the application and logs in.

[0054] Step 2:

[0055] The user inputs location information, budget information, allergy information, and preferred food information into the terminal.

[0056] Step 3:

[0057] The terminal transmits the input user information to the server.

[0058] Step 4:

[0059] The server stores the received user information in a database.

[0060] Step 5:

[0061] The server obtains the user's location information, budget information, allergy information, and preferred food information from the database.

[0062] Step 6:

[0063] The server automatically generates a variety of nutritionally balanced menus based on user information.

[0064] Step 7:

[0065] The server transmits the generated menu information to the terminal.

[0066] Step 8:

[0067] The terminal displays the generated menu information to the user.

[0068] Step 9:

[0069] The server sets a search range based on the user's location information and collects sale information from nearby stores.

[0070] Step 10:

[0071] The server transmits the collected sale information to the terminal.

[0072] Step 11:

[0073] The terminal displays the sale information to the user.

[0074] Step 12:

[0075] When the server generates a new menu, it retrieves past menu history from the database.

[0076] Step 13:

[0077] The server will adjust the menu so that new menus do not overlap with past menus.

[0078] Step 14:

[0079] The server acquires the user's health condition and nutritional balance information.

[0080] Step 15:

[0081] The menu is adjusted based on the health status and nutritional balance information obtained by the server.

[0082] Step 16:

[0083] The terminal displays the adjusted menu to the user.

[0084] These are the specific processing steps of the automatic menu generation app, which allows users to efficiently manage their daily meal plans and enjoy healthy and varied meals.

[0085] Example 1

[0086] 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."

[0087] In today's busy world, users often lack the time to plan their daily meals, making it difficult to consistently consume a variety of healthy meals. Finding efficient ways to purchase ingredients to reduce food costs is also a challenge. Furthermore, it is difficult to maintain a balanced diet while taking into account allergies and dietary preferences.

[0088] 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.

[0089] In this invention, the server includes means for acquiring user location information, means for acquiring user budget information, means for acquiring user allergy information and preferred dietary information, means for using a generative AI model to automatically generate healthy and varied menus based on the acquired user information, means for transmitting the generated menu information to the user, and means for acquiring the user's health condition and nutritional balance information and adjusting the menu based on that information. This allows the user to receive healthy and varied menus that take into account the user's allergy information and preferred dietary information while eliminating the need to think about daily menu planning. Furthermore, the system can adjust the nutritional balance to suit the user's health condition, enabling more appropriate dietary management.

[0090] "User location information" is information for identifying the geographical location where the user is currently located.

[0091] "User budget information" is information that indicates the limit of the amount of money that a user can spend on meals and ingredients.

[0092] "User allergy information" is information that helps a user avoid allergic reactions that may occur when consuming a particular food ingredient.

[0093] "Favorite meal information" is information about the types of meals and cooking styles that the user particularly likes.

[0094] A "generative AI model" is an artificial intelligence framework that automatically generates menus based on user information.

[0095] "User's health condition information" refers to data relating to the user's current health, such as blood cholesterol levels and blood pressure.

[0096] "Nutrition balance information" is information regarding the intake balance of various nutrients (vitamins, minerals, proteins, etc.) required by the user.

[0097] The present invention is a system that automatically generates menus based on a user's location information, budget, allergy information, and preferred food information. Furthermore, this system also has the function of collecting sales information from nearby stores and providing it to the user. It also has the function of managing past menu history and avoiding duplication when creating a new menu. Furthermore, the system supports healthy eating habits by adjusting the menu taking into account the user's health condition and nutritional balance.

[0098] System configuration

[0099] Hardware and Software Configuration

[0100] Users access the system using devices such as smartphones and PCs. These devices send the user's input information (location information, budget, allergy information, preferred food information, health status information, etc.) to the server.

[0101] The server receives user information and stores it in a database. Based on this stored data, it uses a generative AI model to generate appropriate menus. It also collects sales information from nearby stores via external APIs and provides it to users.

[0102] The generated menu information and sale information are sent to the user's terminal, where the user can check them.

[0103] Example of a system

[0104] For example, a user may input information such as "living in Shinjuku-ku, Tokyo," "spending less than 5,000 yen on food per week," "having a wheat allergy," and "liking Japanese food." Additionally, data such as "high cholesterol level" is provided as health information for the user.

[0105] 1. The user enters this information through the terminal and sends it to the server.

[0106] 2. The server stores this information in a database and uses a generative AI model to generate a menu of dishes such as grilled fish, miso soup, and simmered vegetables.

[0107] 3. The server also collects information about special sales from supermarkets and markets around Shinjuku Ward, such as cabbage for 100 yen and chicken for 200 yen / kg, and sends this information to the user's terminal.

[0108] This system allows users to enjoy a variety of healthy meals every day, and by utilizing sales information, they can effectively reduce food costs. Furthermore, the system can adjust the nutritional balance according to the user's health condition, allowing for more appropriate dietary management.

[0109] Prompt Sentence Examples

[0110] "Based on the information that the user lives in Shinjuku Ward, Tokyo, spends less than 5,000 yen on food per week, has a wheat allergy, and likes Japanese food, please suggest healthy, low-fat meals. Also, please collect and provide to the user information about special sales from stores in the Shinjuku Ward area."

[0111] The above is a detailed description of the embodiment of the present invention. This system enables people in dual-income households and those living busy modern lives to achieve healthy and efficient eating habits.

[0112] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0113] Step 1:

[0114] Users access the application using a device such as a smartphone or PC. In the input form, the user enters their location information (e.g., "Shinjuku-ku, Tokyo"), food budget (e.g., "Weekly food expenses under 5,000 yen"), allergy information (e.g., "wheat allergy"), and preferred food information (e.g., "Japanese food"). This information is the input data. The device collects the input data and sends it to the server. This is the output.

[0115] Step 2:

[0116] The server stores the user's location information, budget information, allergy information, and preferred food information received from the device in a database. The input of this operation is the received user information, and the output is the results stored in the database. The server proceeds with processing based on the stored data.

[0117] Step 3:

[0118] When a user provides health condition and nutritional balance information, the user sends this information to the server via the terminal (e.g., "high cholesterol level"). The server stores the health condition and nutritional balance information received from the user in a database. The input of this operation is the health condition and nutritional balance information, and the output is the results stored in the database.

[0119] Step 4:

[0120] The server launches a generative AI model based on the stored user information, automatically generating a healthy and varied menu. The input for this process is the user information stored in the database. The generative AI model receives this information as parameters and generates an appropriate menu (e.g., "grilled fish, miso soup, and simmered vegetables"). The generated menu is the output. The server then sends this menu information to the user's device.

[0121] Step 5:

[0122] The server calls an external API to collect sale information from nearby stores based on the user's location information. In response, it obtains, for example, "sale information about cabbage being sold for 100 yen and chicken being sold for 200 yen / kg." The input is the user's location information, and the output is the acquired sale information. The server sends this sale information to the terminal and provides it to the user.

[0123] Step 6:

[0124] The server stores past menu history in a database and adjusts it so that new menus do not overlap with past menus when generating them. For example, to avoid recreating a "grilled fish menu" that has already been provided, the server refers to past data to propose a new menu. The input is the past menu history, and the output is a new menu that avoids overlaps.

[0125] Step 7:

[0126] The server adjusts the generated menu based on the user's health condition and nutritional balance information. The input for this operation is user information including health condition and nutritional balance and the generated menu, and the output is the adjusted menu. For example, if the user has high cholesterol, the server will preferentially suggest low-fat menus. The adjusted menu information is then sent from the server to the terminal again and presented to the user.

[0127] These steps allow users to efficiently receive optimal menus and special sale information, supporting a healthy and varied diet.

[0128] (Application example 1)

[0129] 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."

[0130] In today's busy society, people often find it difficult to devote time and effort to planning their daily meals and managing their nutritional balance. It's also difficult to efficiently gather information on special offers, save money on food, and maintain a healthy diet. To address these challenges, a system is needed that can suggest appropriate menus based on individual user information and support ordering food delivery.

[0131] 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.

[0132] In this invention, the server includes means for acquiring user location information, means for acquiring user budget information, means for acquiring user allergy information and preferred meal information, means for automatically generating a variety of healthy menus based on the acquired user information, means for transmitting the generated menu information to the user, means for suggesting food delivery orders, and means for collecting and providing information on nearby special sales, thereby enabling users to plan and order daily meals, manage their health, and eat economically by using the special sales information.

[0133] "User location information" means information about a user's current location and surrounding area, obtained using GPS or network-based location data.

[0134] "User's budget information" is information about the amount of money the user plans to spend on meals, and reflects daily financial constraints.

[0135] "User allergy information" refers to information about ingredients and substances that a user should avoid consuming, and is data necessary to avoid health risks.

[0136] "Favorite meal information" is information that indicates the user's personal preferences regarding the types of dishes and ingredients that they like.

[0137] A "healthy and varied menu" is a meal menu that is nutritionally balanced and includes a variety of dishes and ingredients.

[0138] "Means for automatically generating menu information" refers to methods or algorithms that allow the system to automatically create an appropriate menu based on the user's individual information.

[0139] The "means for suggesting food delivery orders" is a method for suggesting an appropriate delivery service to the user based on the generated menu and encouraging the user to place an order.

[0140] "Means for collecting and providing sale information" refers to a system or method for collecting sale and discount information from nearby stores based on the user's location information and providing it to the user.

[0141] System Overview

[0142] The present invention is a system that automatically generates healthy and varied menus based on the user's location information, budget, allergy information, and food preferences, and also collects and provides information on sales at nearby stores to the user. It also has the function of suggesting food delivery orders based on the generated menus and managing past menu history.

[0143] System Embodiments

[0144] User operation procedure

[0145] Users access the application using devices such as smartphones or PCs. First, the user enters their location information, food budget, allergy information, preferred food information, and health condition. The device then sends this information to the server.

[0146] Server Processing

[0147] The server stores the received user information in a database. Similarly, when a user provides information about their health condition or nutritional balance related to their diet, this information is sent from the device to the server and stored in the database.

[0148] The server automatically generates a variety of healthy menus based on user information. It takes into account the user's budget, allergies, and dietary preferences, and also proposes menus that take into account nutritional balance and health status. The generated menus are sent from the server to the user's terminal, where they can be viewed.

[0149] Next, the server collects sales information from nearby stores based on the user's location information. The collected sales information is also sent from the server to the terminal, allowing the user to purchase ingredients efficiently.

[0150] Food delivery orders

[0151] The app also includes a function that suggests food delivery orders based on the generated menu information. Users can easily order the suggested dishes through the app, significantly reducing the effort required for daily meal planning and cooking.

[0152] Past menu history management

[0153] The server also stores past menu history in a database and adjusts the menu to avoid overlapping with past menus when generating new menus. This function allows users to enjoy a variety of meals every day.

[0154] Hardware and software used

[0155] Frontend: Smartphone app using React Native.

[0156] Backend: Flask-based API server.

[0157] Database: PostgreSQL

[0158] Specific examples

[0159] For example, consider the case where a user lives in "Shinjuku Ward, Tokyo," and inputs the following information: "Weekly food expenses are less than 5,000 yen," "I have a wheat allergy," and "I like Japanese food." Furthermore, the user's health information is provided, stating that "my cholesterol level is high." In this case, the server uses this information to generate a menu centered on Japanese food that is wheat-free and takes cholesterol levels into consideration, such as grilled fish, miso soup, and simmered vegetables. It also collects information on special sales from supermarkets around Shinjuku Ward, such as cabbage for 100 yen and chicken for 200 yen / kg, and provides this information to the user.

[0160] Based on the generated menu information and special sale information, users can order food delivery via the application, allowing them to enjoy meals efficiently.

[0161] Prompt Sentence Examples

[0162] "Can I use the SmartFood360 app to get recommendations for low-fat Japanese dishes? I'd also like to get information on special offers in Shinjuku Ward, Tokyo."

[0163] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0164] Step 1:

[0165] The user uses the device to input their location, budget, allergy information, preferred food information, and health condition into the application. Examples of input data include "Shinjuku Ward, Tokyo," "Weekly food expenses within 5,000 yen," "wheat allergy," "favorite Japanese food," and "high cholesterol level." This information is sent from the device to the server.

[0166] Step 2:

[0167] The server stores the received user information in a database. During this process, the user's location information, budget information, allergy information, preferred food information, and health condition are stored in the database in a format corresponding to each field.

[0168] Step 3:

[0169] The server automatically generates a variety of healthy meals based on the user's stored information. Specifically, the server selects recipes that fit the user's preferences, avoid allergies, and fit within the user's budget, and also runs an algorithm that considers the nutritional balance according to the user's health condition. For example, it prioritizes low-fat Japanese recipes.

[0170] Step 4:

[0171] The generated menu information is sent from the server to the terminal, where the user can check the proposed menu. The output results show the specific dish names and a list of necessary ingredients.

[0172] Step 5:

[0173] The server uses the user's location information to collect sales information for nearby stores. The server uses the location information to access the sales information API and collects sales information for the specified area. For example, it collects information such as "cabbage for 100 yen and chicken for 200 yen / kg at a supermarket in Shinjuku Ward."

[0174] Step 6:

[0175] The collected sale information is sent from the server to the terminal and provided to the user along with menu information. The user can purchase ingredients efficiently based on the suggested sale information.

[0176] Step 7:

[0177] Based on the generated menu information, the server suggests ordering food delivery. The server searches for information on food delivery services related to the suggested menu and provides the menu to the user. For example, it provides delivery options for the suggested Japanese menu.

[0178] Step 8:

[0179] When a user wants to place a food delivery order, they are redirected to the delivery service's order page from their device, where they can easily complete the order, including obtaining the necessary payment and delivery information.

[0180] Step 9:

[0181] The server also stores past menu history in a database and adjusts the menu so that new menus do not overlap with past menus, allowing users to enjoy a variety of meals every day and not get bored of the same menu.

[0182] Specific examples

[0183] As a concrete example, if a user lives in "Shinjuku Ward, Tokyo," inputs information such as "weekly food expenses are under 5,000 yen," "wheat allergy," and "likes Japanese food," and also provides health information such as "high cholesterol level," the server will use this information to generate a menu of dishes such as grilled fish, miso soup, and boiled vegetables. It will also collect information on special sales in the Shinjuku Ward area, such as cabbage for 100 yen and chicken for 200 yen / kg, and provide this information to the user. Users can check this information through the application and can also easily order food delivery services.

[0184] Prompt Sentence Examples

[0185] "Can I use the SmartFood360 app to get recommendations for low-fat Japanese dishes? I'd also like to get information on special offers in Shinjuku Ward, Tokyo."

[0186] 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.

[0187] System Overview

[0188] This system automatically generates menus based on a user's location, budget, allergy, food preferences, and emotional information. Furthermore, the system also has the function of collecting and providing information about sales at nearby stores to the user. The system also adjusts menus based on the user's past menu history, health status, nutritional balance, and emotional state, and suggests varied and healthy meals.

[0189] System Embodiments

[0190] Users access the application using devices such as smartphones or PCs. First, the user enters their location information, food budget, allergy information, and preferred food information. The device sends this information to the server. The server stores the received user information in a database. The user's emotional information is also sent to the server and stored in the database.

[0191] Next, the server automatically generates a healthy and varied menu based on the user information. In doing so, the server considers the user's budget, allergy information, and food preferences, as well as the user's emotional state, to suggest an appropriate menu. For example, if the user is feeling stressed, the server will prioritize generating a menu using ingredients that will help reduce stress. The generated menu is sent from the server to the user's device, where the user can review it.

[0192] Furthermore, the server collects sale information from nearby stores based on the user's location information. This allows the user to purchase ingredients efficiently, leading to savings on food costs. The collected sale information is sent from the server to the terminal and provided to the user.

[0193] The server also stores past menu history in a database and adjusts the menu to avoid overlapping with past menus when generating new menus, allowing users to enjoy a variety of meals every day.

[0194] The server also adjusts the menu based on the user's health condition and nutritional balance information. This adjustment allows the user to maintain a healthy diet without being deficient in specific nutrients. For example, if the user has high cholesterol, the server will prioritize low-fat menus.

[0195] Specific examples

[0196] For example, suppose a user lives in "Shinjuku Ward, Tokyo" and inputs the following information: "Weekly food expenses are less than 5,000 yen," "Wheat allergy," "Likes Japanese food," and "Currently experiencing high stress." In addition, the user's health information is provided as "High cholesterol level."

[0197] Based on this information, the server generates a menu of mainly Japanese dishes, such as grilled fish, miso soup, and boiled vegetables, that are low in fat and wheat-free, and that use ingredients that are effective in reducing stress. It also collects information on special sales from supermarkets and markets around Shinjuku Ward, such as cabbage for 100 yen and chicken for 200 yen / kg, and provides it to the user.

[0198] In this way, users can enjoy healthy and varied meals while reducing the effort of planning their daily meals. By utilizing sales information, they can purchase ingredients efficiently within their budget. Furthermore, because the system takes into account the user's emotional state, more personalized menus are provided, improving user satisfaction.

[0199] The above is a detailed description of the embodiment of the present invention. This system enables people in dual-income households and those living busy modern lives to achieve healthy and efficient eating habits.

[0200] The processing flow will be explained below.

[0201] Specific processing steps of the system

[0202] Step 1:

[0203] The user launches the application and logs in.

[0204] Step 2:

[0205] The user inputs location information, budget information, allergy information, preferred food information, and emotional information into the terminal.

[0206] Step 3:

[0207] The terminal transmits the input user information to the server.

[0208] Step 4:

[0209] The server stores the received user information in a database.

[0210] Step 5:

[0211] The server obtains the user's location information, budget information, allergy information, preferred food information, and emotional information from the database.

[0212] Step 6:

[0213] The server automatically generates a variety of nutritionally balanced menus based on user information, taking into account the user's emotional information. For example, if the user is feeling stressed, the server generates a menu using ingredients that will help reduce stress.

[0214] Step 7:

[0215] The server transmits the generated menu information to the terminal.

[0216] Step 8:

[0217] The terminal displays the generated menu information to the user.

[0218] Step 9:

[0219] The server sets a search range based on the user's location information and collects sale information from nearby stores.

[0220] Step 10:

[0221] The server transmits the collected sale information to the terminal.

[0222] Step 11:

[0223] The terminal displays the sale information to the user.

[0224] Step 12:

[0225] When the server generates a new menu, it retrieves past menu history from the database.

[0226] Step 13:

[0227] The server will adjust the menu so that new menus do not overlap with past menus.

[0228] Step 14:

[0229] The server acquires the user's health condition and nutritional balance information.

[0230] Step 15:

[0231] The menu is adjusted based on the health status and nutritional balance information obtained by the server.

[0232] Step 16:

[0233] The terminal displays the adjusted menu to the user.

[0234] Specific examples

[0235] For example, suppose a user lives in "Shinjuku Ward, Tokyo" and inputs the following information: "Weekly food expenses are less than 5,000 yen," "Wheat allergy," "Likes Japanese food," and "Currently experiencing high stress." In addition, the user's health information is provided as "High cholesterol level."

[0236] Step 1:

[0237] The user launches the application and logs in.

[0238] Step 2:

[0239] The user enters their location (Shinjuku-ku, Tokyo), food expenses (under 5,000 yen), allergy information (wheat allergy), preferences (likes Japanese food), and emotions (currently feeling high in stress).

[0240] Step 3:

[0241] The terminal transmits this information to the server.

[0242] Step 4:

[0243] The server stores the received information in a database.

[0244] Step 5:

[0245] The server retrieves the stored user information and loads it from the database.

[0246] Step 6:

[0247] The server generates a variety of healthy menus based on the user's information. In this case, for a user with high stress levels, it suggests Japanese cuisine using ingredients that are effective in reducing stress. For example, it generates grilled fish, miso soup, and simmered vegetables.

[0248] Step 7:

[0249] The server sends the generated menu to the terminal.

[0250] Step 8:

[0251] The terminal displays the menu to the user.

[0252] Step 9:

[0253] The server uses the user's location information (Shinjuku-ku, Tokyo) to collect sales information from nearby supermarkets and markets. For example, it collects information about cabbage being sold for 100 yen and chicken being sold for 200 yen / kg.

[0254] Step 10:

[0255] The server transmits the collected sale information to the terminal.

[0256] Step 11:

[0257] The terminal displays the sale information to the user.

[0258] Step 12:

[0259] When the server generates a new menu, it retrieves past menu history from the database.

[0260] Step 13:

[0261] When the server generates a new menu, it adjusts it so that the same menu is not duplicated. For example, if the menu offered last month was curry, the new menu will not include curry.

[0262] Step 14:

[0263] The server acquires information that the cholesterol level is high as health information provided by the user.

[0264] Step 15:

[0265] The server generates low-fat menus with priority for users with high cholesterol levels.

[0266] Step 16:

[0267] The terminal displays the adjusted menu to the user.

[0268] These are the specific processing steps of the system that generates and provides menus by combining the user's location information, budget, allergy information, food preferences, health status, nutritional balance, and emotional information, thereby enabling the user to lead an efficient and healthy diet.

[0269] Example 2

[0270] 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."

[0271] In today's busy lifestyles, it is difficult to plan healthy, nutritionally balanced meals every day, especially for dual-income households. Furthermore, it takes a lot of time and effort to consider each user's budget, allergies, dietary preferences, and emotional state. Another challenge is efficiently utilizing sales information to reduce food costs. To solve these issues, a system is needed that can comprehensively manage user information and automatically generate optimal menus.

[0272] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0273] In this invention, the server includes means for acquiring user location information, means for acquiring user budget information, means for acquiring user allergy information and preferred food information, means for acquiring user emotion information, means for automatically generating healthy and varied menus based on the acquired user information, means for transmitting the generated menu information to the user, means for collecting sales information from nearby stores, means for providing the collected sales information to the user, means for managing past menu history and adjusting new menus to avoid overlapping with past menus when generating new menus, and means for adjusting the menu based on the user's health condition and nutritional balance information. This allows users to enjoy healthy and varied meals while saving them the trouble of having to think about their daily menus, and also allows them to reduce food costs by efficiently utilizing sales information.

[0274] "Location information" refers to geographic coordinates or address information for identifying the user's place of residence or current location.

[0275] "Budget information" is information about the amount of money a user can spend on a meal.

[0276] "Allergy information" refers to information about specific ingredients or substances that a user cannot or is dangerous to ingest.

[0277] "Favorite meal information" is information about the types of ingredients and dishes that the user likes.

[0278] "Emotion information" is information relating to the user's current mental state and emotions.

[0279] A "menu" is a series of meal combinations suggested to a user.

[0280] "Special sale information" is information about discounts and sales on products held at specific stores.

[0281] "Menu history" is a record of menus created in the past.

[0282] "Health status" refers to data related to the user's physical health, such as blood pressure and cholesterol levels.

[0283] "Nutrition balance information" is information about the types and amounts of nutrients contained in the user's diet.

[0284] The present invention is a system that automatically generates menus based on location information, budget information, allergy information, food preferences, and emotional information entered by a user, and also provides information on special sales. An embodiment of this system will be described in detail below.

[0285] System configuration

[0286] This system is mainly composed of a server, terminals, and a database. The role of each component is explained below.

[0287] 1. Terminal

[0288] The terminal is a device used by the user, such as a smartphone or PC. The terminal has the function of receiving various information entered by the user (location information, budget information, allergy information, preferred food information, emotional information) and sending this information to the server.

[0289] 2. Server

[0290] The server receives user information sent from the device and stores it in a database. The server is also equipped with a generative AI model that automatically generates optimal menus based on the input information.

[0291] Furthermore, the server collects sale information from nearby stores based on the user's location information and provides this information to the user.

[0292] 3. Database

[0293] The database stores information entered by the user, the generated menu, past menu history, sales information for nearby stores, and the user's health status and nutritional balance information. The server references this data as needed and uses it as the basis for providing optimal menus.

[0294] Hardware and Software Configuration

[0295] This system uses the following hardware and software:

[0296] Hardware: Smartphones, PCs, servers

[0297] Software: Database Management System (DBMS), generative AI models (e.g., TENSORFLOW®)

[0298] Specific examples of operation

[0299] 1. Enter your user information

[0300] The user accesses the application using a terminal and enters the following information:

[0301] Address: Shinjuku Ward, Tokyo

[0302] Food expenses: Less than 5,000 yen per week

[0303] Allergens: Wheat

[0304] Food preference: Japanese food

[0305] Emotional state: Currently stressed

[0306] Health Information: High Cholesterol

[0307] 2. Data processing by the server

[0308] The server stores the user information received from the device in a database and uses the generative AI model to send the following prompt to the generative AI model:

[0309] "The user lives in Shinjuku, Tokyo, and has set a weekly budget of 5,000 yen or less. They have a wheat allergy and like Japanese food. Furthermore, they are currently under a lot of stress and their cholesterol levels have been confirmed to be high. Based on these conditions, please generate a low-fat menu centered around wheat-free Japanese food, using ingredients that will help reduce stress."

[0310] Examples of menu items generated by the AI ​​model include grilled fish, miso soup, and boiled vegetables.

[0311] 3. Collecting information on special offers

[0312] The server uses the user's location information to collect sale information from supermarkets and markets around Shinjuku Ward via API. For example, it obtains information on cabbage being sold for 100 yen and chicken being sold for 200 yen / kg.

[0313] 4. Providing menu and special sale information

[0314] The generated menu and collected sales information are sent from the server to the terminal, where users can refer to it to purchase ingredients efficiently and enjoy healthy meals.

[0315] In this way, users can enjoy a variety of healthy meals while saving the effort of planning their daily meals. In addition, by utilizing sales information, they can purchase ingredients efficiently within their budget.

[0316] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0317] Program processing flow

[0318] Step 1:

[0319] Users access the application using devices such as smartphones or PCs. They input their location information, food budget, allergy information, food preferences, and emotional information. Once the input is complete, the device sends this information to the server.

[0320] Input: Location, budget, allergies, food preferences, emotions

[0321] Output: Data packet sent to the server

[0322] How it works: Location information is automatically acquired using GPS, and dietary information and emotional state can be easily selected using drop-down menus and sliders.

[0323] Step 2:

[0324] The server receives the data packets sent from the terminal, analyzes the received data packets, extracts user information, and stores the extracted user information in a database.

[0325] Input: Data packet from the terminal

[0326] Output: User information stored in the database

[0327] What it does: It uses data packet parsing functions to convert user information into the appropriate format and store it in the database.

[0328] Step 3:

[0329] The server automatically generates menus using a generative AI model based on user information stored in a database (location, budget, allergy information, food preferences, and emotional information). Specific prompts are sent to the AI ​​model, which then generates an appropriate menu.

[0330] Input: User information stored in the database

[0331] Output: Generated menu

[0332] What it does: It uses a generative AI model (e.g., TensorFlow) to generate a menu by sending the following prompt:

[0333] "The user lives in Shinjuku, Tokyo, and has set a weekly budget of 5,000 yen or less. They have a wheat allergy and like Japanese food. Furthermore, they are currently under a lot of stress and their cholesterol levels have been confirmed to be high. Based on these conditions, please generate a low-fat menu centered around wheat-free Japanese food, using ingredients that will help reduce stress."

[0334] Step 4:

[0335] The server stores the generated menu in a database, converts it into a user-accessible format, and sends the converted menu to the user's terminal.

[0336] Input: Generated menu

[0337] Output: Menu information sent to the user's device

[0338] Specific operation: The generated menu is stored in a database, converted into a display format, and sent to the user's device.

[0339] Step 5:

[0340] The server collects sales information from nearby stores based on the user's location information, stores the collected sales information in a database, and sends it to the user's device.

[0341] Input: Location

[0342] Output: Sale information sent to the user's device

[0343] Specific operation: Through API, special sale information is obtained in real time from nearby supermarkets and markets and stored in a database.

[0344] Step 6:

[0345] The server adjusts the menu so that it does not overlap with past menus when creating a new menu. The server also adjusts the menu based on the user's health condition and nutritional balance information.

[0346] Input: Past meal history, user's health status and nutritional balance information

[0347] Output: New, adjusted menu

[0348] Specific operation: The system references past menu history stored in a database and adjusts the generative AI model to avoid duplicates in new menus. It also suggests low-fat menus based on the user's health information (e.g., cholesterol levels).

[0349] The above are the specific processing steps of this system. The specific operations, data processing or data calculations performed in each step, and their inputs and outputs have been explained in detail.

[0350] (Application example 2)

[0351] 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."

[0352] In today's busy lifestyles, users need to efficiently obtain high-quality, personalized ingredients and dishes while maintaining a healthy and varied diet and managing their household budgets by utilizing sales information. Furthermore, automatically generating menus that reflect the user's emotional state, health information, and past dietary history, and providing them through delivery services, is important for improving user satisfaction.

[0353] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0354] In this invention, the server includes means for acquiring user location information, means for acquiring user budget information, means for acquiring user allergy information and preferred meal information, means for automatically generating a healthy and varied menu based on the acquired user information, means for acquiring and considering user emotion information to generate a menu, means for transmitting the generated menu information to the user, means for collecting and providing user with sales information from nearby stores, and means for providing ingredients and cooked dishes in cooperation with a delivery service. This enables the user to efficiently receive personalized meal suggestions, utilize the sales information to purchase healthy and varied ingredients and dishes within their budget, and receive them through a convenient delivery service.

[0355] "User location information" refers to geographical data about the user's current location and its surroundings.

[0356] "User budget information" is information about the amount of money a user can spend on ingredients and meals within a specific period of time.

[0357] "Allergy information" refers to information about allergic reactions a user has to specific food ingredients or components.

[0358] "Favorite meal information" is information about ingredients and types of dishes that the user particularly likes.

[0359] A "healthy and varied menu" is a combination of meals using a variety of ingredients and cooking methods, taking into consideration the user's health condition and nutritional balance.

[0360] "Emotion information" is data relating to the user's current emotional state (for example, stress, happiness, fatigue, etc.).

[0361] "Menu information" is data about the specific meal contents and recipes that are proposed.

[0362] "Sale information" is information about discounts and special sales being held at nearby stores.

[0363] A "delivery service" is a service that delivers ingredients and cooked food ordered by a user to a location specified by the user.

[0364] A "server" is a computer system that receives and processes information sent by users to provide appropriate data and services.

[0365] System Configuration

[0366] The system of the present invention includes a server, a user's terminal (such as a smartphone or smart glasses), and an interface for linking with a delivery service. The server receives information sent from the user, processes it, and sends the results to the user's terminal.

[0367] User's device

[0368] The user's device is equipped with an application that acquires location information, budget information, allergy information, favorite food information, and emotional information. When the user inputs this information into the application, the device transmits the information to the server.

[0369] server

[0370] The server has the following functions:

[0371] 1. Collection and storage of user information

[0372] The system receives the user's location information, budget information, allergy information, preferred food information, and emotional information and stores them in a database.

[0373] 2. Menu generation

[0374] The system automatically generates healthy and varied menus based on collected user information, and also takes into account the user's emotional information to suggest menus that are suitable for reducing stress or other emotional states.

[0375] 3. Collecting information on special offers

[0376] Based on the user's location information, the system collects sale information from nearby stores in real time, allowing users to purchase ingredients efficiently.

[0377] 4. Collaboration with delivery services

[0378] Based on the user's menu selection, ingredients and cooked meals are delivered to the user through a delivery service.

[0379] Data calculation and processing

[0380] The server uses programming languages ​​such as Python to calculate and process data. For example, sales information is collected through an API, and menu planning is performed by an algorithm that takes into account the user's health and emotional state.

[0381] Software used

[0382] The following software is used:

[0383] Database system (e.g. MySQL (registered trademark))

[0384] Programming language (e.g. Python)

[0385] Web API (e.g. RESTful API)

[0386] Machine learning models (e.g. TensorFlow)

[0387] Specific examples

[0388] For example, if a user enters information such as "living in Shinjuku Ward, Tokyo," "limiting weekly food expenses to 5,000 yen or less," "wheat allergy," "likes Japanese food," and "currently experiencing high stress," the server will suggest a Japanese menu including grilled fish, miso soup, boiled vegetables, etc. Furthermore, it will collect information on special sales from supermarkets around Shinjuku Ward, such as cabbage for 100 yen and chicken for 200 yen / kg, and provide it to the user.

[0389] Prompt Sentence Examples

[0390] Here are some example prompts to input to the generative AI model:

[0391] Request:

[0392] I am developing a smartphone app and would like to implement a function that automatically generates menus based on the user's location, budget, allergies, favorite foods, and emotional information, and also provides information about special offers. Can you give me a concrete example of a design that generates healthy and varied menus based on the information entered by the user and provides them in collaboration with a delivery service?

[0393] This system allows users to efficiently receive personalized meal suggestions, purchase a wide variety of healthy ingredients and dishes within their budget, and enjoy convenient delivery services.

[0394] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0395] Step 1:

[0396] The user's device acquires the user's location information, budget, allergy information, favorite food information, and emotional information, and transmits them to the server.

[0397] (Input: User information, Output: User data sent to the server)

[0398] The user inputs their location, food budget, wheat allergies and food preferences, and emotional state into the device, which then transmits this data to the server in one batch.

[0399] Step 2:

[0400] The server stores the received user location information, budget information, allergy information, preferred food information, and emotional information in a database.

[0401] (Input: user data, Output: information stored in the database)

[0402] The server analyzes the submitted user information and stores each data item in the corresponding field.

[0403] Step 3:

[0404] The server generates a healthy and varied menu based on user information.

[0405] (Input: saved user data, Output: generated menu)

[0406] The server generates a variety of menus using an algorithm that takes into account the user's health status and nutritional balance, as well as their emotional state.

[0407] Step 4:

[0408] The server collects sale information from nearby stores based on the user's location information.

[0409] (Input: User's location information, Output: Collected sale information)

[0410] The server uses location information to access the APIs of nearby stores and collect sale information in real time.

[0411] Step 5:

[0412] The server provides the collected sale information to the user.

[0413] (Input: Collected sale information, Output: Sale information sent to the user's device)

[0414] The server formats the sale information and converts it into a format that can be sent to the user's terminal.

[0415] Step 6:

[0416] The user's terminal displays the menu information and sale information sent from the server.

[0417] (Input: data from the server, Output: information displayed to the user)

[0418] The terminal displays the received menu information and sale information on a user interface.

[0419] Step 7:

[0420] The user selects a suggested menu and places an order through the delivery service.

[0421] (Input: User selection, Output: Order data for delivery service)

[0422] The user selects the desired ingredients and dishes from the menu displayed on the terminal and sends the order to the delivery service.

[0423] Step 8:

[0424] The delivery service processes the order and delivers the ingredients and cooked food to the user.

[0425] (Input: order data, Output: delivery to user)

[0426] The delivery service processes the received order and delivers the ingredients and food to the specified date, time and location.

[0427] This series of processing steps effectively allows the user to receive a personalized, healthy and varied diet.

[0428] 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.

[0429] 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.

[0430] 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.

[0431] [Second embodiment]

[0432] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0433] 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.

[0434] 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).

[0435] 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.

[0436] 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.

[0437] 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).

[0438] 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.

[0439] 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.

[0440] 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.

[0441] 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.

[0442] 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.

[0443] 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."

[0444] System Overview

[0445] The present invention is a system that automatically generates menus based on a user's location information, budget, allergy information, and preferred food information. Furthermore, this system also has the function of collecting sales information from nearby stores and providing it to the user. It also has the function of managing past menu history and avoiding duplication when creating a new menu. Furthermore, the system supports healthy eating habits by adjusting the menu taking into account the user's health condition and nutritional balance.

[0446] System Embodiments

[0447] Users access the application using a device such as a smartphone or PC. First, the user enters their location information, food budget, allergy information, and preferred food information. The device then sends this information to the server. The server then stores the received user information in a database. Similarly, when the user provides information about their health status or nutritional balance related to their diet, this information is also sent from the device to the server and stored in the database.

[0448] Next, the server automatically generates a variety of healthy meals based on the user's information. The server considers the user's budget, allergies, and dietary preferences to propose an appropriate meal. The generated meal is sent from the server to the user's device, where the user can review it.

[0449] Furthermore, the server collects sale information from nearby stores based on the user's location information. This allows the user to purchase ingredients efficiently, leading to savings on food costs. The collected sale information is sent from the server to the terminal and provided to the user.

[0450] The server also stores past menu history in a database and adjusts the menu to avoid overlapping with past menus when generating new menus, allowing users to enjoy a variety of meals every day.

[0451] Finally, the server adjusts the menu based on the user's health status and nutritional balance information. This adjustment allows the user to maintain a healthy diet without being deficient in specific nutrients. For example, if the user has high cholesterol, the server will prioritize low-fat menus.

[0452] Specific examples

[0453] For example, suppose a user lives in "Shinjuku Ward, Tokyo," and has entered information such as "Weekly food expenses are less than 5,000 yen," "Wheat allergy," and "Likes Japanese food." In addition, data such as "High cholesterol level" is provided as health information for the user.

[0454] Based on this information, the server generates low-fat, wheat-free menus, mainly consisting of Japanese dishes such as grilled fish, miso soup, and boiled vegetables. It also collects information on special sales from supermarkets and markets around Shinjuku Ward, such as cabbage for 100 yen and chicken for 200 yen / kg, and provides it to users.

[0455] In this way, users can enjoy healthy and varied meals while saving the effort of planning their daily meals. In addition, by utilizing sales information, they can purchase ingredients efficiently within their budget.

[0456] The above is a detailed description of the embodiment of the present invention. This system enables people in dual-income households and those living busy modern lives to achieve healthy and efficient eating habits.

[0457] The processing flow will be explained below.

[0458] Step 1:

[0459] The user launches the application and logs in.

[0460] Step 2:

[0461] The user inputs location information, budget information, allergy information, and preferred food information into the terminal.

[0462] Step 3:

[0463] The terminal transmits the input user information to the server.

[0464] Step 4:

[0465] The server stores the received user information in a database.

[0466] Step 5:

[0467] The server obtains the user's location information, budget information, allergy information, and preferred food information from the database.

[0468] Step 6:

[0469] The server automatically generates a variety of nutritionally balanced menus based on user information.

[0470] Step 7:

[0471] The server transmits the generated menu information to the terminal.

[0472] Step 8:

[0473] The terminal displays the generated menu information to the user.

[0474] Step 9:

[0475] The server sets a search range based on the user's location information and collects sale information from nearby stores.

[0476] Step 10:

[0477] The server transmits the collected sale information to the terminal.

[0478] Step 11:

[0479] The terminal displays the sale information to the user.

[0480] Step 12:

[0481] When the server generates a new menu, it retrieves past menu history from the database.

[0482] Step 13:

[0483] The server will adjust the menu so that new menus do not overlap with past menus.

[0484] Step 14:

[0485] The server acquires the user's health condition and nutritional balance information.

[0486] Step 15:

[0487] The menu is adjusted based on the health status and nutritional balance information obtained by the server.

[0488] Step 16:

[0489] The terminal displays the adjusted menu to the user.

[0490] These are the specific processing steps of the automatic menu generation app, which allows users to efficiently manage their daily meal plans and enjoy healthy and varied meals.

[0491] Example 1

[0492] 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."

[0493] In today's busy world, users often lack the time to plan their daily meals, making it difficult to consistently consume a variety of healthy meals. Finding efficient ways to purchase ingredients to reduce food costs is also a challenge. Furthermore, it is difficult to maintain a balanced diet while taking into account allergies and dietary preferences.

[0494] 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.

[0495] In this invention, the server includes means for acquiring user location information, means for acquiring user budget information, means for acquiring user allergy information and preferred dietary information, means for using a generative AI model to automatically generate healthy and varied menus based on the acquired user information, means for transmitting the generated menu information to the user, and means for acquiring the user's health condition and nutritional balance information and adjusting the menu based on that information. This allows the user to receive healthy and varied menus that take into account the user's allergy information and preferred dietary information while eliminating the need to think about daily menu planning. Furthermore, the system can adjust the nutritional balance to suit the user's health condition, enabling more appropriate dietary management.

[0496] "User location information" is information for identifying the geographical location where the user is currently located.

[0497] "User budget information" is information that indicates the limit of the amount of money that a user can spend on meals and ingredients.

[0498] "User allergy information" is information that helps a user avoid allergic reactions that may occur when consuming a particular food ingredient.

[0499] "Favorite meal information" is information about the types of meals and cooking styles that the user particularly likes.

[0500] A "generative AI model" is an artificial intelligence framework that automatically generates menus based on user information.

[0501] "User's health condition information" refers to data relating to the user's current health, such as blood cholesterol levels and blood pressure.

[0502] "Nutrition balance information" is information regarding the intake balance of various nutrients (vitamins, minerals, proteins, etc.) required by the user.

[0503] The present invention is a system that automatically generates menus based on a user's location information, budget, allergy information, and preferred food information. Furthermore, this system also has the function of collecting sales information from nearby stores and providing it to the user. It also has the function of managing past menu history and avoiding duplication when creating a new menu. Furthermore, the system supports healthy eating habits by adjusting the menu taking into account the user's health condition and nutritional balance.

[0504] System configuration

[0505] Hardware and Software Configuration

[0506] Users access the system using devices such as smartphones and PCs. These devices send the user's input information (location information, budget, allergy information, preferred food information, health status information, etc.) to the server.

[0507] The server receives user information and stores it in a database. Based on this stored data, it uses a generative AI model to generate appropriate menus. It also collects sales information from nearby stores via external APIs and provides it to users.

[0508] The generated menu information and sale information are sent to the user's terminal, where the user can check them.

[0509] Example of a system

[0510] For example, a user may input information such as "living in Shinjuku-ku, Tokyo," "spending less than 5,000 yen on food per week," "having a wheat allergy," and "liking Japanese food." Additionally, data such as "high cholesterol level" is provided as health information for the user.

[0511] 1. The user enters this information through the terminal and sends it to the server.

[0512] 2. The server stores this information in a database and uses a generative AI model to generate a menu of dishes such as grilled fish, miso soup, and simmered vegetables.

[0513] 3. The server also collects information about special sales from supermarkets and markets around Shinjuku Ward, such as cabbage for 100 yen and chicken for 200 yen / kg, and sends this information to the user's terminal.

[0514] This system allows users to enjoy a variety of healthy meals every day, and by utilizing sales information, they can effectively reduce food costs. Furthermore, the system can adjust the nutritional balance according to the user's health condition, allowing for more appropriate dietary management.

[0515] Prompt Sentence Examples

[0516] "Based on the information that the user lives in Shinjuku Ward, Tokyo, spends less than 5,000 yen on food per week, has a wheat allergy, and likes Japanese food, please suggest healthy, low-fat meals. Also, please collect and provide to the user information about special sales from stores in the Shinjuku Ward area."

[0517] The above is a detailed description of the embodiment of the present invention. This system enables people in dual-income households and those living busy modern lives to achieve healthy and efficient eating habits.

[0518] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0519] Step 1:

[0520] Users access the application using a device such as a smartphone or PC. In the input form, the user enters their location information (e.g., "Shinjuku-ku, Tokyo"), food budget (e.g., "Weekly food expenses under 5,000 yen"), allergy information (e.g., "wheat allergy"), and preferred food information (e.g., "Japanese food"). This information is the input data. The device collects the input data and sends it to the server. This is the output.

[0521] Step 2:

[0522] The server stores the user's location information, budget information, allergy information, and preferred food information received from the device in a database. The input of this operation is the received user information, and the output is the results stored in the database. The server proceeds with processing based on the stored data.

[0523] Step 3:

[0524] When a user provides health condition and nutritional balance information, the user sends this information to the server via the terminal (e.g., "high cholesterol level"). The server stores the health condition and nutritional balance information received from the user in a database. The input of this operation is the health condition and nutritional balance information, and the output is the results stored in the database.

[0525] Step 4:

[0526] The server launches a generative AI model based on the stored user information, automatically generating a healthy and varied menu. The input for this process is the user information stored in the database. The generative AI model receives this information as parameters and generates an appropriate menu (e.g., "grilled fish, miso soup, and simmered vegetables"). The generated menu is the output. The server then sends this menu information to the user's device.

[0527] Step 5:

[0528] The server calls an external API to collect sale information from nearby stores based on the user's location information. In response, it obtains, for example, "sale information about cabbage being sold for 100 yen and chicken being sold for 200 yen / kg." The input is the user's location information, and the output is the acquired sale information. The server sends this sale information to the terminal and provides it to the user.

[0529] Step 6:

[0530] The server stores past menu history in a database and adjusts it so that new menus do not overlap with past menus when generating them. For example, to avoid recreating a "grilled fish menu" that has already been provided, the server refers to past data to propose a new menu. The input is the past menu history, and the output is a new menu that avoids overlaps.

[0531] Step 7:

[0532] The server adjusts the generated menu based on the user's health condition and nutritional balance information. The input for this operation is user information including health condition and nutritional balance and the generated menu, and the output is the adjusted menu. For example, if the user has high cholesterol, the server will preferentially suggest low-fat menus. The adjusted menu information is then sent from the server to the terminal again and presented to the user.

[0533] These steps allow users to efficiently receive optimal menus and special sale information, supporting a healthy and varied diet.

[0534] (Application example 1)

[0535] 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."

[0536] In today's busy society, people often find it difficult to devote time and effort to planning their daily meals and managing their nutritional balance. It's also difficult to efficiently gather information on special offers, save money on food, and maintain a healthy diet. To address these challenges, a system is needed that can suggest appropriate menus based on individual user information and support ordering food delivery.

[0537] 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.

[0538] In this invention, the server includes means for acquiring user location information, means for acquiring user budget information, means for acquiring user allergy information and preferred meal information, means for automatically generating a variety of healthy menus based on the acquired user information, means for transmitting the generated menu information to the user, means for suggesting food delivery orders, and means for collecting and providing information on nearby special sales, thereby enabling users to plan and order daily meals, manage their health, and eat economically by using the special sales information.

[0539] "User location information" means information about a user's current location and surrounding area, obtained using GPS or network-based location data.

[0540] "User's budget information" is information about the amount of money the user plans to spend on meals, and reflects daily financial constraints.

[0541] "User allergy information" refers to information about ingredients and substances that a user should avoid consuming, and is data necessary to avoid health risks.

[0542] "Favorite meal information" is information that indicates the user's personal preferences regarding the types of dishes and ingredients that they like.

[0543] A "healthy and varied menu" is a meal menu that is nutritionally balanced and includes a variety of dishes and ingredients.

[0544] "Means for automatically generating menu information" refers to methods or algorithms that allow the system to automatically create an appropriate menu based on the user's individual information.

[0545] The "means for suggesting food delivery orders" is a method for suggesting an appropriate delivery service to the user based on the generated menu and encouraging the user to place an order.

[0546] "Means for collecting and providing sale information" refers to a system or method for collecting sale and discount information from nearby stores based on the user's location information and providing it to the user.

[0547] System Overview

[0548] The present invention is a system that automatically generates healthy and varied menus based on the user's location information, budget, allergy information, and food preferences, and also collects and provides information on sales at nearby stores to the user. It also has the function of suggesting food delivery orders based on the generated menus and managing past menu history.

[0549] System Embodiments

[0550] User operation procedure

[0551] Users access the application using devices such as smartphones or PCs. First, the user enters their location information, food budget, allergy information, preferred food information, and health condition. The device then sends this information to the server.

[0552] Server Processing

[0553] The server stores the received user information in a database. Similarly, when a user provides information about their health condition or nutritional balance related to their diet, this information is sent from the device to the server and stored in the database.

[0554] The server automatically generates a variety of healthy menus based on user information. It takes into account the user's budget, allergies, and dietary preferences, and also proposes menus that take into account nutritional balance and health status. The generated menus are sent from the server to the user's terminal, where they can be viewed.

[0555] Next, the server collects sales information from nearby stores based on the user's location information. The collected sales information is also sent from the server to the terminal, allowing the user to purchase ingredients efficiently.

[0556] Food delivery orders

[0557] The app also includes a function that suggests food delivery orders based on the generated menu information. Users can easily order the suggested dishes through the app, significantly reducing the effort required for daily meal planning and cooking.

[0558] Past menu history management

[0559] The server also stores past menu history in a database and adjusts the menu to avoid overlapping with past menus when generating new menus. This function allows users to enjoy a variety of meals every day.

[0560] Hardware and software used

[0561] Frontend: Smartphone app using React Native.

[0562] Backend: Flask-based API server.

[0563] Database: PostgreSQL

[0564] Specific examples

[0565] For example, consider the case where a user lives in "Shinjuku Ward, Tokyo," and inputs the following information: "Weekly food expenses are less than 5,000 yen," "I have a wheat allergy," and "I like Japanese food." Furthermore, the user's health information is provided, stating that "my cholesterol level is high." In this case, the server uses this information to generate a menu centered on Japanese food that is wheat-free and takes cholesterol levels into consideration, such as grilled fish, miso soup, and simmered vegetables. It also collects information on special sales from supermarkets around Shinjuku Ward, such as cabbage for 100 yen and chicken for 200 yen / kg, and provides this information to the user.

[0566] Based on the generated menu information and special sale information, users can order food delivery via the application, allowing them to enjoy meals efficiently.

[0567] Prompt Sentence Examples

[0568] "Can I use the SmartFood360 app to get recommendations for low-fat Japanese dishes? I'd also like to get information on special offers in Shinjuku Ward, Tokyo."

[0569] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0570] Step 1:

[0571] The user uses the device to input their location, budget, allergy information, preferred food information, and health condition into the application. Examples of input data include "Shinjuku Ward, Tokyo," "Weekly food expenses within 5,000 yen," "wheat allergy," "favorite Japanese food," and "high cholesterol level." This information is sent from the device to the server.

[0572] Step 2:

[0573] The server stores the received user information in a database. During this process, the user's location information, budget information, allergy information, preferred food information, and health condition are stored in the database in a format corresponding to each field.

[0574] Step 3:

[0575] The server automatically generates a variety of healthy meals based on the user's stored information. Specifically, the server selects recipes that fit the user's preferences, avoid allergies, and fit within the user's budget, and also runs an algorithm that considers the nutritional balance according to the user's health condition. For example, it prioritizes low-fat Japanese recipes.

[0576] Step 4:

[0577] The generated menu information is sent from the server to the terminal, where the user can check the proposed menu. The output results show the specific dish names and a list of necessary ingredients.

[0578] Step 5:

[0579] The server uses the user's location information to collect sales information for nearby stores. The server uses the location information to access the sales information API and collects sales information for the specified area. For example, it collects information such as "cabbage for 100 yen and chicken for 200 yen / kg at a supermarket in Shinjuku Ward."

[0580] Step 6:

[0581] The collected sale information is sent from the server to the terminal and provided to the user along with menu information. The user can purchase ingredients efficiently based on the suggested sale information.

[0582] Step 7:

[0583] Based on the generated menu information, the server suggests ordering food delivery. The server searches for information on food delivery services related to the suggested menu and provides the menu to the user. For example, it provides delivery options for the suggested Japanese menu.

[0584] Step 8:

[0585] When a user wants to place a food delivery order, they are redirected to the delivery service's order page from their device, where they can easily complete the order, including obtaining the necessary payment and delivery information.

[0586] Step 9:

[0587] The server also stores past menu history in a database and adjusts the menu so that new menus do not overlap with past menus, allowing users to enjoy a variety of meals every day and not get bored of the same menu.

[0588] Specific examples

[0589] As a concrete example, if a user lives in "Shinjuku Ward, Tokyo," inputs information such as "weekly food expenses are under 5,000 yen," "wheat allergy," and "likes Japanese food," and also provides health information such as "high cholesterol level," the server will use this information to generate a menu of dishes such as grilled fish, miso soup, and boiled vegetables. It will also collect information on special sales in the Shinjuku Ward area, such as cabbage for 100 yen and chicken for 200 yen / kg, and provide this information to the user. Users can check this information through the application and can also easily order food delivery services.

[0590] Prompt Sentence Examples

[0591] "Can I use the SmartFood360 app to get recommendations for low-fat Japanese dishes? I'd also like to get information on special offers in Shinjuku Ward, Tokyo."

[0592] 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.

[0593] System Overview

[0594] This system automatically generates menus based on a user's location, budget, allergy, food preferences, and emotional information. Furthermore, the system also has the function of collecting and providing information about sales at nearby stores to the user. The system also adjusts menus based on the user's past menu history, health status, nutritional balance, and emotional state, and suggests varied and healthy meals.

[0595] System Embodiments

[0596] Users access the application using devices such as smartphones or PCs. First, the user enters their location information, food budget, allergy information, and preferred food information. The device sends this information to the server. The server stores the received user information in a database. The user's emotional information is also sent to the server and stored in the database.

[0597] Next, the server automatically generates a healthy and varied menu based on the user information. In doing so, the server considers the user's budget, allergy information, and food preferences, as well as the user's emotional state, to suggest an appropriate menu. For example, if the user is feeling stressed, the server will prioritize generating a menu using ingredients that will help reduce stress. The generated menu is sent from the server to the user's device, where the user can review it.

[0598] Furthermore, the server collects sale information from nearby stores based on the user's location information. This allows the user to purchase ingredients efficiently, leading to savings on food costs. The collected sale information is sent from the server to the terminal and provided to the user.

[0599] The server also stores past menu history in a database and adjusts the menu to avoid overlapping with past menus when generating new menus, allowing users to enjoy a variety of meals every day.

[0600] The server also adjusts the menu based on the user's health condition and nutritional balance information. This adjustment allows the user to maintain a healthy diet without being deficient in specific nutrients. For example, if the user has high cholesterol, the server will prioritize low-fat menus.

[0601] Specific examples

[0602] For example, suppose a user lives in "Shinjuku Ward, Tokyo" and inputs the following information: "Weekly food expenses are less than 5,000 yen," "Wheat allergy," "Likes Japanese food," and "Currently experiencing high stress." In addition, the user's health information is provided as "High cholesterol level."

[0603] Based on this information, the server generates a menu of mainly Japanese dishes, such as grilled fish, miso soup, and boiled vegetables, that are low in fat and wheat-free, and that use ingredients that are effective in reducing stress. It also collects information on special sales from supermarkets and markets around Shinjuku Ward, such as cabbage for 100 yen and chicken for 200 yen / kg, and provides it to the user.

[0604] In this way, users can enjoy healthy and varied meals while reducing the effort of planning their daily meals. By utilizing sales information, they can purchase ingredients efficiently within their budget. Furthermore, because the system takes into account the user's emotional state, more personalized menus are provided, improving user satisfaction.

[0605] The above is a detailed description of the embodiment of the present invention. This system enables people in dual-income households and those living busy modern lives to achieve healthy and efficient eating habits.

[0606] The processing flow will be explained below.

[0607] Specific processing steps of the system

[0608] Step 1:

[0609] The user launches the application and logs in.

[0610] Step 2:

[0611] The user inputs location information, budget information, allergy information, preferred food information, and emotional information into the terminal.

[0612] Step 3:

[0613] The terminal transmits the input user information to the server.

[0614] Step 4:

[0615] The server stores the received user information in a database.

[0616] Step 5:

[0617] The server obtains the user's location information, budget information, allergy information, preferred food information, and emotional information from the database.

[0618] Step 6:

[0619] The server automatically generates a variety of nutritionally balanced menus based on user information, taking into account the user's emotional information. For example, if the user is feeling stressed, the server generates a menu using ingredients that will help reduce stress.

[0620] Step 7:

[0621] The server transmits the generated menu information to the terminal.

[0622] Step 8:

[0623] The terminal displays the generated menu information to the user.

[0624] Step 9:

[0625] The server sets a search range based on the user's location information and collects sale information from nearby stores.

[0626] Step 10:

[0627] The server transmits the collected sale information to the terminal.

[0628] Step 11:

[0629] The terminal displays the sale information to the user.

[0630] Step 12:

[0631] When the server generates a new menu, it retrieves past menu history from the database.

[0632] Step 13:

[0633] The server will adjust the menu so that new menus do not overlap with past menus.

[0634] Step 14:

[0635] The server acquires the user's health condition and nutritional balance information.

[0636] Step 15:

[0637] The menu is adjusted based on the health status and nutritional balance information obtained by the server.

[0638] Step 16:

[0639] The terminal displays the adjusted menu to the user.

[0640] Specific examples

[0641] For example, suppose a user lives in "Shinjuku Ward, Tokyo" and inputs the following information: "Weekly food expenses are less than 5,000 yen," "Wheat allergy," "Likes Japanese food," and "Currently experiencing high stress." In addition, the user's health information is provided as "High cholesterol level."

[0642] Step 1:

[0643] The user launches the application and logs in.

[0644] Step 2:

[0645] The user enters their location (Shinjuku-ku, Tokyo), food expenses (under 5,000 yen), allergy information (wheat allergy), preferences (likes Japanese food), and emotions (currently feeling high in stress).

[0646] Step 3:

[0647] The terminal transmits this information to the server.

[0648] Step 4:

[0649] The server stores the received information in a database.

[0650] Step 5:

[0651] The server retrieves the stored user information and loads it from the database.

[0652] Step 6:

[0653] The server generates a variety of healthy menus based on the user's information. In this case, for a user with high stress levels, it suggests Japanese cuisine using ingredients that are effective in reducing stress. For example, it generates grilled fish, miso soup, and simmered vegetables.

[0654] Step 7:

[0655] The server sends the generated menu to the terminal.

[0656] Step 8:

[0657] The terminal displays the menu to the user.

[0658] Step 9:

[0659] The server uses the user's location information (Shinjuku-ku, Tokyo) to collect sales information from nearby supermarkets and markets. For example, it collects information about cabbage being sold for 100 yen and chicken being sold for 200 yen / kg.

[0660] Step 10:

[0661] The server transmits the collected sale information to the terminal.

[0662] Step 11:

[0663] The terminal displays the sale information to the user.

[0664] Step 12:

[0665] When the server generates a new menu, it retrieves past menu history from the database.

[0666] Step 13:

[0667] When the server generates a new menu, it adjusts it so that the same menu is not duplicated. For example, if the menu offered last month was curry, the new menu will not include curry.

[0668] Step 14:

[0669] The server acquires information that the cholesterol level is high as health information provided by the user.

[0670] Step 15:

[0671] The server generates low-fat menus with priority for users with high cholesterol levels.

[0672] Step 16:

[0673] The terminal displays the adjusted menu to the user.

[0674] These are the specific processing steps of the system that generates and provides menus by combining the user's location information, budget, allergy information, food preferences, health status, nutritional balance, and emotional information, thereby enabling the user to lead an efficient and healthy diet.

[0675] Example 2

[0676] 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."

[0677] In today's busy lifestyles, it is difficult to plan healthy, nutritionally balanced meals every day, especially for dual-income households. Furthermore, it takes a lot of time and effort to consider each user's budget, allergies, dietary preferences, and emotional state. Another challenge is efficiently utilizing sales information to reduce food costs. To solve these issues, a system is needed that can comprehensively manage user information and automatically generate optimal menus.

[0678] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0679] In this invention, the server includes means for acquiring user location information, means for acquiring user budget information, means for acquiring user allergy information and preferred food information, means for acquiring user emotion information, means for automatically generating healthy and varied menus based on the acquired user information, means for transmitting the generated menu information to the user, means for collecting sales information from nearby stores, means for providing the collected sales information to the user, means for managing past menu history and adjusting new menus to avoid overlapping with past menus when generating new menus, and means for adjusting the menu based on the user's health condition and nutritional balance information. This allows users to enjoy healthy and varied meals while saving them the trouble of having to think about their daily menus, and also allows them to reduce food costs by efficiently utilizing sales information.

[0680] "Location information" refers to geographic coordinates or address information for identifying the user's place of residence or current location.

[0681] "Budget information" is information about the amount of money a user can spend on a meal.

[0682] "Allergy information" refers to information about specific ingredients or substances that a user cannot or is dangerous to ingest.

[0683] "Favorite meal information" is information about the types of ingredients and dishes that the user likes.

[0684] "Emotion information" is information relating to the user's current mental state and emotions.

[0685] A "menu" is a series of meal combinations suggested to a user.

[0686] "Special sale information" is information about discounts and sales on products held at specific stores.

[0687] "Menu history" is a record of menus created in the past.

[0688] "Health status" refers to data related to the user's physical health, such as blood pressure and cholesterol levels.

[0689] "Nutrition balance information" is information about the types and amounts of nutrients contained in the user's diet.

[0690] The present invention is a system that automatically generates menus based on location information, budget information, allergy information, food preferences, and emotional information entered by a user, and also provides information on special sales. An embodiment of this system will be described in detail below.

[0691] System configuration

[0692] This system is mainly composed of a server, terminals, and a database. The role of each component is explained below.

[0693] 1. Terminal

[0694] The terminal is a device used by the user, such as a smartphone or PC. The terminal has the function of receiving various information entered by the user (location information, budget information, allergy information, preferred food information, emotional information) and sending this information to the server.

[0695] 2. Server

[0696] The server receives user information sent from the device and stores it in a database. The server is also equipped with a generative AI model that automatically generates optimal menus based on the input information.

[0697] Furthermore, the server collects sale information from nearby stores based on the user's location information and provides this information to the user.

[0698] 3. Database

[0699] The database stores information entered by the user, the generated menu, past menu history, sales information for nearby stores, and the user's health status and nutritional balance information. The server references this data as needed and uses it as the basis for providing optimal menus.

[0700] Hardware and Software Configuration

[0701] This system uses the following hardware and software:

[0702] Hardware: Smartphones, PCs, servers

[0703] Software: Database Management Systems (DBMS), generative AI models (e.g., TensorFlow)

[0704] Specific examples of operation

[0705] 1. Enter your user information

[0706] The user accesses the application using a terminal and enters the following information:

[0707] Address: Shinjuku Ward, Tokyo

[0708] Food expenses: Less than 5,000 yen per week

[0709] Allergens: Wheat

[0710] Food preference: Japanese food

[0711] Emotional state: Currently stressed

[0712] Health Information: High Cholesterol

[0713] 2. Data processing by the server

[0714] The server stores the user information received from the device in a database and uses the generative AI model to send the following prompt to the generative AI model:

[0715] "The user lives in Shinjuku, Tokyo, and has set a weekly budget of 5,000 yen or less. They have a wheat allergy and like Japanese food. Furthermore, they are currently under a lot of stress and their cholesterol levels have been confirmed to be high. Based on these conditions, please generate a low-fat menu centered around wheat-free Japanese food, using ingredients that will help reduce stress."

[0716] Examples of menu items generated by the AI ​​model include grilled fish, miso soup, and boiled vegetables.

[0717] 3. Collecting information on special offers

[0718] The server uses the user's location information to collect sale information from supermarkets and markets around Shinjuku Ward via API. For example, it obtains information on cabbage being sold for 100 yen and chicken being sold for 200 yen / kg.

[0719] 4. Providing menu and special sale information

[0720] The generated menu and collected sales information are sent from the server to the terminal, where users can refer to it to purchase ingredients efficiently and enjoy healthy meals.

[0721] In this way, users can enjoy a variety of healthy meals while saving the effort of planning their daily meals. In addition, by utilizing sales information, they can purchase ingredients efficiently within their budget.

[0722] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0723] Program processing flow

[0724] Step 1:

[0725] Users access the application using devices such as smartphones or PCs. They input their location information, food budget, allergy information, food preferences, and emotional information. Once the input is complete, the device sends this information to the server.

[0726] Input: Location, budget, allergies, food preferences, emotions

[0727] Output: Data packet sent to the server

[0728] How it works: Location information is automatically acquired using GPS, and dietary information and emotional state can be easily selected using drop-down menus and sliders.

[0729] Step 2:

[0730] The server receives the data packets sent from the terminal, analyzes the received data packets, extracts user information, and stores the extracted user information in a database.

[0731] Input: Data packet from the terminal

[0732] Output: User information stored in the database

[0733] What it does: It uses data packet parsing functions to convert user information into the appropriate format and store it in the database.

[0734] Step 3:

[0735] The server automatically generates menus using a generative AI model based on user information stored in a database (location, budget, allergy information, food preferences, and emotional information). Specific prompts are sent to the AI ​​model, which then generates an appropriate menu.

[0736] Input: User information stored in the database

[0737] Output: Generated menu

[0738] What it does: It uses a generative AI model (e.g., TensorFlow) to generate a menu by sending the following prompt:

[0739] "The user lives in Shinjuku, Tokyo, and has set a weekly budget of 5,000 yen or less. They have a wheat allergy and like Japanese food. Furthermore, they are currently under a lot of stress and their cholesterol levels have been confirmed to be high. Based on these conditions, please generate a low-fat menu centered around wheat-free Japanese food, using ingredients that will help reduce stress."

[0740] Step 4:

[0741] The server stores the generated menu in a database, converts it into a user-accessible format, and sends the converted menu to the user's terminal.

[0742] Input: Generated menu

[0743] Output: Menu information sent to the user's device

[0744] Specific operation: The generated menu is stored in a database, converted into a display format, and sent to the user's device.

[0745] Step 5:

[0746] The server collects sales information from nearby stores based on the user's location information, stores the collected sales information in a database, and sends it to the user's device.

[0747] Input: Location

[0748] Output: Sale information sent to the user's device

[0749] Specific operation: Through API, special sale information is obtained in real time from nearby supermarkets and markets and stored in a database.

[0750] Step 6:

[0751] The server adjusts the menu so that it does not overlap with past menus when creating a new menu. The server also adjusts the menu based on the user's health condition and nutritional balance information.

[0752] Input: Past meal history, user's health status and nutritional balance information

[0753] Output: New, adjusted menu

[0754] Specific operation: The system references past menu history stored in a database and adjusts the generative AI model to avoid duplicates in new menus. It also suggests low-fat menus based on the user's health information (e.g., cholesterol levels).

[0755] The above are the specific processing steps of this system. The specific operations, data processing or data calculations performed in each step, and their inputs and outputs have been explained in detail.

[0756] (Application example 2)

[0757] 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."

[0758] In today's busy lifestyles, users need to efficiently obtain high-quality, personalized ingredients and dishes while maintaining a healthy and varied diet and managing their household budgets by utilizing sales information. Furthermore, automatically generating menus that reflect the user's emotional state, health information, and past dietary history, and providing them through delivery services, is important for improving user satisfaction.

[0759] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0760] In this invention, the server includes means for acquiring user location information, means for acquiring user budget information, means for acquiring user allergy information and preferred meal information, means for automatically generating a healthy and varied menu based on the acquired user information, means for acquiring and considering user emotion information to generate a menu, means for transmitting the generated menu information to the user, means for collecting and providing user with sales information from nearby stores, and means for providing ingredients and cooked dishes in cooperation with a delivery service. This enables the user to efficiently receive personalized meal suggestions, utilize the sales information to purchase healthy and varied ingredients and dishes within their budget, and receive them through a convenient delivery service.

[0761] "User location information" refers to geographical data about the user's current location and its surroundings.

[0762] "User budget information" is information about the amount of money a user can spend on ingredients and meals within a specific period of time.

[0763] "Allergy information" refers to information about allergic reactions a user has to specific food ingredients or components.

[0764] "Favorite meal information" is information about ingredients and types of dishes that the user particularly likes.

[0765] A "healthy and varied menu" is a combination of meals using a variety of ingredients and cooking methods, taking into consideration the user's health condition and nutritional balance.

[0766] "Emotion information" is data relating to the user's current emotional state (for example, stress, happiness, fatigue, etc.).

[0767] "Menu information" is data about the specific meal contents and recipes that are proposed.

[0768] "Sale information" is information about discounts and special sales being held at nearby stores.

[0769] A "delivery service" is a service that delivers ingredients and cooked food ordered by a user to a location specified by the user.

[0770] A "server" is a computer system that receives and processes information sent by users to provide appropriate data and services.

[0771] System Configuration

[0772] The system of the present invention includes a server, a user's terminal (such as a smartphone or smart glasses), and an interface for linking with a delivery service. The server receives information sent from the user, processes it, and sends the results to the user's terminal.

[0773] User's device

[0774] The user's device is equipped with an application that acquires location information, budget information, allergy information, favorite food information, and emotional information. When the user inputs this information into the application, the device transmits the information to the server.

[0775] server

[0776] The server has the following functions:

[0777] 1. Collection and storage of user information

[0778] The system receives the user's location information, budget information, allergy information, preferred food information, and emotional information and stores them in a database.

[0779] 2. Menu generation

[0780] The system automatically generates healthy and varied menus based on collected user information, and also takes into account the user's emotional information to suggest menus that are suitable for reducing stress or other emotional states.

[0781] 3. Collecting information on special offers

[0782] Based on the user's location information, the system collects sale information from nearby stores in real time, allowing users to purchase ingredients efficiently.

[0783] 4. Collaboration with delivery services

[0784] Based on the user's menu selection, ingredients and cooked meals are delivered to the user through a delivery service.

[0785] Data calculation and processing

[0786] The server uses programming languages ​​such as Python to calculate and process data. For example, sales information is collected through an API, and menu planning is performed by an algorithm that takes into account the user's health and emotional state.

[0787] Software used

[0788] The following software is used:

[0789] Database systems (e.g. MySQL)

[0790] Programming language (e.g. Python)

[0791] Web API (e.g. RESTful API)

[0792] Machine learning models (e.g. TensorFlow)

[0793] Specific examples

[0794] For example, if a user enters information such as "living in Shinjuku Ward, Tokyo," "limiting weekly food expenses to 5,000 yen or less," "wheat allergy," "likes Japanese food," and "currently experiencing high stress," the server will suggest a Japanese menu including grilled fish, miso soup, boiled vegetables, etc. Furthermore, it will collect information on special sales from supermarkets around Shinjuku Ward, such as cabbage for 100 yen and chicken for 200 yen / kg, and provide it to the user.

[0795] Prompt Sentence Examples

[0796] Here are some example prompts to input to the generative AI model:

[0797] Request:

[0798] I am developing a smartphone app and would like to implement a function that automatically generates menus based on the user's location, budget, allergies, favorite foods, and emotional information, and also provides information about special offers. Can you give me a concrete example of a design that generates healthy and varied menus based on the information entered by the user and provides them in collaboration with a delivery service?

[0799] This system allows users to efficiently receive personalized meal suggestions, purchase a wide variety of healthy ingredients and dishes within their budget, and enjoy convenient delivery services.

[0800] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0801] Step 1:

[0802] The user's device acquires the user's location information, budget, allergy information, favorite food information, and emotional information, and transmits them to the server.

[0803] (Input: User information, Output: User data sent to the server)

[0804] The user inputs their location, food budget, wheat allergies and food preferences, and emotional state into the device, which then transmits this data to the server in one batch.

[0805] Step 2:

[0806] The server stores the received user location information, budget information, allergy information, preferred food information, and emotional information in a database.

[0807] (Input: user data, Output: information stored in the database)

[0808] The server analyzes the submitted user information and stores each data item in the corresponding field.

[0809] Step 3:

[0810] The server generates a healthy and varied menu based on user information.

[0811] (Input: saved user data, Output: generated menu)

[0812] The server generates a variety of menus using an algorithm that takes into account the user's health status and nutritional balance, as well as their emotional state.

[0813] Step 4:

[0814] The server collects sale information from nearby stores based on the user's location information.

[0815] (Input: User's location information, Output: Collected sale information)

[0816] The server uses location information to access the APIs of nearby stores and collect sale information in real time.

[0817] Step 5:

[0818] The server provides the collected sale information to the user.

[0819] (Input: Collected sale information, Output: Sale information sent to the user's device)

[0820] The server formats the sale information and converts it into a format that can be sent to the user's terminal.

[0821] Step 6:

[0822] The user's terminal displays the menu information and sale information sent from the server.

[0823] (Input: data from the server, Output: information displayed to the user)

[0824] The terminal displays the received menu information and sale information on a user interface.

[0825] Step 7:

[0826] The user selects a suggested menu and places an order through the delivery service.

[0827] (Input: User selection, Output: Order data for delivery service)

[0828] The user selects the desired ingredients and dishes from the menu displayed on the terminal and sends the order to the delivery service.

[0829] Step 8:

[0830] The delivery service processes the order and delivers the ingredients and cooked food to the user.

[0831] (Input: order data, Output: delivery to user)

[0832] The delivery service processes the received order and delivers the ingredients and food to the specified date, time and location.

[0833] This series of processing steps effectively allows the user to receive a personalized, healthy and varied diet.

[0834] 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.

[0835] 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.

[0836] 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.

[0837] [Third embodiment]

[0838] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0839] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0840] 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).

[0841] 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.

[0842] 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.

[0843] 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).

[0844] 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.

[0845] 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.

[0846] 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.

[0847] 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.

[0848] 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.

[0849] 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."

[0850] System Overview

[0851] The present invention is a system that automatically generates menus based on a user's location information, budget, allergy information, and preferred food information. Furthermore, this system also has the function of collecting sales information from nearby stores and providing it to the user. It also has the function of managing past menu history and avoiding duplication when creating a new menu. Furthermore, the system supports healthy eating habits by adjusting the menu taking into account the user's health condition and nutritional balance.

[0852] System Embodiments

[0853] Users access the application using a device such as a smartphone or PC. First, the user enters their location information, food budget, allergy information, and preferred food information. The device then sends this information to the server. The server then stores the received user information in a database. Similarly, when the user provides information about their health status or nutritional balance related to their diet, this information is also sent from the device to the server and stored in the database.

[0854] Next, the server automatically generates a variety of healthy meals based on the user's information. The server considers the user's budget, allergies, and dietary preferences to propose an appropriate meal. The generated meal is sent from the server to the user's device, where the user can review it.

[0855] Furthermore, the server collects sale information from nearby stores based on the user's location information. This allows the user to purchase ingredients efficiently, leading to savings on food costs. The collected sale information is sent from the server to the terminal and provided to the user.

[0856] The server also stores past menu history in a database and adjusts the menu to avoid overlapping with past menus when generating new menus, allowing users to enjoy a variety of meals every day.

[0857] Finally, the server adjusts the menu based on the user's health status and nutritional balance information. This adjustment allows the user to maintain a healthy diet without being deficient in specific nutrients. For example, if the user has high cholesterol, the server will prioritize low-fat menus.

[0858] Specific examples

[0859] For example, suppose a user lives in "Shinjuku Ward, Tokyo," and has entered information such as "Weekly food expenses are less than 5,000 yen," "Wheat allergy," and "Likes Japanese food." In addition, data such as "High cholesterol level" is provided as health information for the user.

[0860] Based on this information, the server generates low-fat, wheat-free menus, mainly consisting of Japanese dishes such as grilled fish, miso soup, and boiled vegetables. It also collects information on special sales from supermarkets and markets around Shinjuku Ward, such as cabbage for 100 yen and chicken for 200 yen / kg, and provides it to users.

[0861] In this way, users can enjoy healthy and varied meals while saving the effort of planning their daily meals. In addition, by utilizing sales information, they can purchase ingredients efficiently within their budget.

[0862] The above is a detailed description of the embodiment of the present invention. This system enables people in dual-income households and those living busy modern lives to achieve healthy and efficient eating habits.

[0863] The processing flow will be explained below.

[0864] Step 1:

[0865] The user launches the application and logs in.

[0866] Step 2:

[0867] The user inputs location information, budget information, allergy information, and preferred food information into the terminal.

[0868] Step 3:

[0869] The terminal transmits the input user information to the server.

[0870] Step 4:

[0871] The server stores the received user information in a database.

[0872] Step 5:

[0873] The server obtains the user's location information, budget information, allergy information, and preferred food information from the database.

[0874] Step 6:

[0875] The server automatically generates a variety of nutritionally balanced menus based on user information.

[0876] Step 7:

[0877] The server transmits the generated menu information to the terminal.

[0878] Step 8:

[0879] The terminal displays the generated menu information to the user.

[0880] Step 9:

[0881] The server sets a search range based on the user's location information and collects sale information from nearby stores.

[0882] Step 10:

[0883] The server transmits the collected sale information to the terminal.

[0884] Step 11:

[0885] The terminal displays the sale information to the user.

[0886] Step 12:

[0887] When the server generates a new menu, it retrieves past menu history from the database.

[0888] Step 13:

[0889] The server will adjust the menu so that new menus do not overlap with past menus.

[0890] Step 14:

[0891] The server acquires the user's health condition and nutritional balance information.

[0892] Step 15:

[0893] The menu is adjusted based on the health status and nutritional balance information obtained by the server.

[0894] Step 16:

[0895] The terminal displays the adjusted menu to the user.

[0896] These are the specific processing steps of the automatic menu generation app, which allows users to efficiently manage their daily meal plans and enjoy healthy and varied meals.

[0897] Example 1

[0898] 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."

[0899] In today's busy world, users often lack the time to plan their daily meals, making it difficult to consistently consume a variety of healthy meals. Finding efficient ways to purchase ingredients to reduce food costs is also a challenge. Furthermore, it is difficult to maintain a balanced diet while taking into account allergies and dietary preferences.

[0900] 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.

[0901] In this invention, the server includes means for acquiring user location information, means for acquiring user budget information, means for acquiring user allergy information and preferred dietary information, means for using a generative AI model to automatically generate healthy and varied menus based on the acquired user information, means for transmitting the generated menu information to the user, and means for acquiring the user's health condition and nutritional balance information and adjusting the menu based on that information. This allows the user to receive healthy and varied menus that take into account the user's allergy information and preferred dietary information while eliminating the need to think about daily menu planning. Furthermore, the system can adjust the nutritional balance to suit the user's health condition, enabling more appropriate dietary management.

[0902] "User location information" is information for identifying the geographical location where the user is currently located.

[0903] "User budget information" is information that indicates the limit of the amount of money that a user can spend on meals and ingredients.

[0904] "User allergy information" is information that helps a user avoid allergic reactions that may occur when consuming a particular food ingredient.

[0905] "Favorite meal information" is information about the types of meals and cooking styles that the user particularly likes.

[0906] A "generative AI model" is an artificial intelligence framework that automatically generates menus based on user information.

[0907] "User's health condition information" refers to data relating to the user's current health, such as blood cholesterol levels and blood pressure.

[0908] "Nutrition balance information" is information regarding the intake balance of various nutrients (vitamins, minerals, proteins, etc.) required by the user.

[0909] The present invention is a system that automatically generates menus based on a user's location information, budget, allergy information, and preferred food information. Furthermore, this system also has the function of collecting sales information from nearby stores and providing it to the user. It also has the function of managing past menu history and avoiding duplication when creating a new menu. Furthermore, the system supports healthy eating habits by adjusting the menu taking into account the user's health condition and nutritional balance.

[0910] System configuration

[0911] Hardware and Software Configuration

[0912] Users access the system using devices such as smartphones and PCs. These devices send the user's input information (location information, budget, allergy information, preferred food information, health status information, etc.) to the server.

[0913] The server receives user information and stores it in a database. Based on this stored data, it uses a generative AI model to generate appropriate menus. It also collects sales information from nearby stores via external APIs and provides it to users.

[0914] The generated menu information and sale information are sent to the user's terminal, where the user can check them.

[0915] Example of a system

[0916] For example, a user may input information such as "living in Shinjuku-ku, Tokyo," "spending less than 5,000 yen on food per week," "having a wheat allergy," and "liking Japanese food." Additionally, data such as "high cholesterol level" is provided as health information for the user.

[0917] 1. The user enters this information through the terminal and sends it to the server.

[0918] 2. The server stores this information in a database and uses a generative AI model to generate a menu of dishes such as grilled fish, miso soup, and simmered vegetables.

[0919] 3. The server also collects information about special sales from supermarkets and markets around Shinjuku Ward, such as cabbage for 100 yen and chicken for 200 yen / kg, and sends this information to the user's terminal.

[0920] This system allows users to enjoy a variety of healthy meals every day, and by utilizing sales information, they can effectively reduce food costs. Furthermore, the system can adjust the nutritional balance according to the user's health condition, allowing for more appropriate dietary management.

[0921] Prompt Sentence Examples

[0922] "Based on the information that the user lives in Shinjuku Ward, Tokyo, spends less than 5,000 yen on food per week, has a wheat allergy, and likes Japanese food, please suggest healthy, low-fat meals. Also, please collect and provide to the user information about special sales from stores in the Shinjuku Ward area."

[0923] The above is a detailed description of the embodiment of the present invention. This system enables people in dual-income households and those living busy modern lives to achieve healthy and efficient eating habits.

[0924] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0925] Step 1:

[0926] Users access the application using a device such as a smartphone or PC. In the input form, the user enters their location information (e.g., "Shinjuku-ku, Tokyo"), food budget (e.g., "Weekly food expenses under 5,000 yen"), allergy information (e.g., "wheat allergy"), and preferred food information (e.g., "Japanese food"). This information is the input data. The device collects the input data and sends it to the server. This is the output.

[0927] Step 2:

[0928] The server stores the user's location information, budget information, allergy information, and preferred food information received from the device in a database. The input of this operation is the received user information, and the output is the results stored in the database. The server proceeds with processing based on the stored data.

[0929] Step 3:

[0930] When a user provides health condition and nutritional balance information, the user sends this information to the server via the terminal (e.g., "high cholesterol level"). The server stores the health condition and nutritional balance information received from the user in a database. The input of this operation is the health condition and nutritional balance information, and the output is the results stored in the database.

[0931] Step 4:

[0932] The server launches a generative AI model based on the stored user information, automatically generating a healthy and varied menu. The input for this process is the user information stored in the database. The generative AI model receives this information as parameters and generates an appropriate menu (e.g., "grilled fish, miso soup, and simmered vegetables"). The generated menu is the output. The server then sends this menu information to the user's device.

[0933] Step 5:

[0934] The server calls an external API to collect sale information from nearby stores based on the user's location information. In response, it obtains, for example, "sale information about cabbage being sold for 100 yen and chicken being sold for 200 yen / kg." The input is the user's location information, and the output is the acquired sale information. The server sends this sale information to the terminal and provides it to the user.

[0935] Step 6:

[0936] The server stores past menu history in a database and adjusts it so that new menus do not overlap with past menus when generating them. For example, to avoid recreating a "grilled fish menu" that has already been provided, the server refers to past data to propose a new menu. The input is the past menu history, and the output is a new menu that avoids overlaps.

[0937] Step 7:

[0938] The server adjusts the generated menu based on the user's health condition and nutritional balance information. The input for this operation is user information including health condition and nutritional balance and the generated menu, and the output is the adjusted menu. For example, if the user has high cholesterol, the server will preferentially suggest low-fat menus. The adjusted menu information is then sent from the server to the terminal again and presented to the user.

[0939] These steps allow users to efficiently receive optimal menus and special sale information, supporting a healthy and varied diet.

[0940] (Application example 1)

[0941] 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."

[0942] In today's busy society, people often find it difficult to devote time and effort to planning their daily meals and managing their nutritional balance. It's also difficult to efficiently gather information on special offers, save money on food, and maintain a healthy diet. To address these challenges, a system is needed that can suggest appropriate menus based on individual user information and support ordering food delivery.

[0943] 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.

[0944] In this invention, the server includes means for acquiring user location information, means for acquiring user budget information, means for acquiring user allergy information and preferred meal information, means for automatically generating a variety of healthy menus based on the acquired user information, means for transmitting the generated menu information to the user, means for suggesting food delivery orders, and means for collecting and providing information on nearby special sales, thereby enabling users to plan and order daily meals, manage their health, and eat economically by using the special sales information.

[0945] "User location information" means information about a user's current location and surrounding area, obtained using GPS or network-based location data.

[0946] "User's budget information" is information about the amount of money the user plans to spend on meals, and reflects daily financial constraints.

[0947] "User allergy information" refers to information about ingredients and substances that a user should avoid consuming, and is data necessary to avoid health risks.

[0948] "Favorite meal information" is information that indicates the user's personal preferences regarding the types of dishes and ingredients that they like.

[0949] A "healthy and varied menu" is a meal menu that is nutritionally balanced and includes a variety of dishes and ingredients.

[0950] "Means for automatically generating menu information" refers to methods or algorithms that allow the system to automatically create an appropriate menu based on the user's individual information.

[0951] The "means for suggesting food delivery orders" is a method for suggesting an appropriate delivery service to the user based on the generated menu and encouraging the user to place an order.

[0952] "Means for collecting and providing sale information" refers to a system or method for collecting sale and discount information from nearby stores based on the user's location information and providing it to the user.

[0953] System Overview

[0954] The present invention is a system that automatically generates healthy and varied menus based on the user's location information, budget, allergy information, and food preferences, and also collects and provides information on sales at nearby stores to the user. It also has the function of suggesting food delivery orders based on the generated menus and managing past menu history.

[0955] System Embodiments

[0956] User operation procedure

[0957] Users access the application using devices such as smartphones or PCs. First, the user enters their location information, food budget, allergy information, preferred food information, and health condition. The device then sends this information to the server.

[0958] Server Processing

[0959] The server stores the received user information in a database. Similarly, when a user provides information about their health condition or nutritional balance related to their diet, this information is sent from the device to the server and stored in the database.

[0960] The server automatically generates a variety of healthy menus based on user information. It takes into account the user's budget, allergies, and dietary preferences, and also proposes menus that take into account nutritional balance and health status. The generated menus are sent from the server to the user's terminal, where they can be viewed.

[0961] Next, the server collects sales information from nearby stores based on the user's location information. The collected sales information is also sent from the server to the terminal, allowing the user to purchase ingredients efficiently.

[0962] Food delivery orders

[0963] The app also includes a function that suggests food delivery orders based on the generated menu information. Users can easily order the suggested dishes through the app, significantly reducing the effort required for daily meal planning and cooking.

[0964] Past menu history management

[0965] The server also stores past menu history in a database and adjusts the menu to avoid overlapping with past menus when generating new menus. This function allows users to enjoy a variety of meals every day.

[0966] Hardware and software used

[0967] Frontend: Smartphone app using React Native.

[0968] Backend: Flask-based API server.

[0969] Database: PostgreSQL

[0970] Specific examples

[0971] For example, consider the case where a user lives in "Shinjuku Ward, Tokyo," and inputs the following information: "Weekly food expenses are less than 5,000 yen," "I have a wheat allergy," and "I like Japanese food." Furthermore, the user's health information is provided, stating that "my cholesterol level is high." In this case, the server uses this information to generate a menu centered on Japanese food that is wheat-free and takes cholesterol levels into consideration, such as grilled fish, miso soup, and simmered vegetables. It also collects information on special sales from supermarkets around Shinjuku Ward, such as cabbage for 100 yen and chicken for 200 yen / kg, and provides this information to the user.

[0972] Based on the generated menu information and special sale information, users can order food delivery via the application, allowing them to enjoy meals efficiently.

[0973] Prompt Sentence Examples

[0974] "Can I use the SmartFood360 app to get recommendations for low-fat Japanese dishes? I'd also like to get information on special offers in Shinjuku Ward, Tokyo."

[0975] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0976] Step 1:

[0977] The user uses the device to input their location, budget, allergy information, preferred food information, and health condition into the application. Examples of input data include "Shinjuku Ward, Tokyo," "Weekly food expenses within 5,000 yen," "wheat allergy," "favorite Japanese food," and "high cholesterol level." This information is sent from the device to the server.

[0978] Step 2:

[0979] The server stores the received user information in a database. During this process, the user's location information, budget information, allergy information, preferred food information, and health condition are stored in the database in a format corresponding to each field.

[0980] Step 3:

[0981] The server automatically generates a variety of healthy meals based on the user's stored information. Specifically, the server selects recipes that fit the user's preferences, avoid allergies, and fit within the user's budget, and also runs an algorithm that considers the nutritional balance according to the user's health condition. For example, it prioritizes low-fat Japanese recipes.

[0982] Step 4:

[0983] The generated menu information is sent from the server to the terminal, where the user can check the proposed menu. The output results show the specific dish names and a list of necessary ingredients.

[0984] Step 5:

[0985] The server uses the user's location information to collect sales information for nearby stores. The server uses the location information to access the sales information API and collects sales information for the specified area. For example, it collects information such as "cabbage for 100 yen and chicken for 200 yen / kg at a supermarket in Shinjuku Ward."

[0986] Step 6:

[0987] The collected sale information is sent from the server to the terminal and provided to the user along with menu information. The user can purchase ingredients efficiently based on the suggested sale information.

[0988] Step 7:

[0989] Based on the generated menu information, the server suggests ordering food delivery. The server searches for information on food delivery services related to the suggested menu and provides the menu to the user. For example, it provides delivery options for the suggested Japanese menu.

[0990] Step 8:

[0991] When a user wants to place a food delivery order, they are redirected to the delivery service's order page from their device, where they can easily complete the order, including obtaining the necessary payment and delivery information.

[0992] Step 9:

[0993] The server also stores past menu history in a database and adjusts the menu so that new menus do not overlap with past menus, allowing users to enjoy a variety of meals every day and not get bored of the same menu.

[0994] Specific examples

[0995] As a concrete example, if a user lives in "Shinjuku Ward, Tokyo," inputs information such as "weekly food expenses are under 5,000 yen," "wheat allergy," and "likes Japanese food," and also provides health information such as "high cholesterol level," the server will use this information to generate a menu of dishes such as grilled fish, miso soup, and boiled vegetables. It will also collect information on special sales in the Shinjuku Ward area, such as cabbage for 100 yen and chicken for 200 yen / kg, and provide this information to the user. Users can check this information through the application and can also easily order food delivery services.

[0996] Prompt Sentence Examples

[0997] "Can I use the SmartFood360 app to get recommendations for low-fat Japanese dishes? I'd also like to get information on special offers in Shinjuku Ward, Tokyo."

[0998] 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.

[0999] System Overview

[1000] This system automatically generates menus based on a user's location, budget, allergy, food preferences, and emotional information. Furthermore, the system also has the function of collecting and providing information about sales at nearby stores to the user. The system also adjusts menus based on the user's past menu history, health status, nutritional balance, and emotional state, and suggests varied and healthy meals.

[1001] System Embodiments

[1002] Users access the application using devices such as smartphones or PCs. First, the user enters their location information, food budget, allergy information, and preferred food information. The device sends this information to the server. The server stores the received user information in a database. The user's emotional information is also sent to the server and stored in the database.

[1003] Next, the server automatically generates a healthy and varied menu based on the user information. In doing so, the server considers the user's budget, allergy information, and food preferences, as well as the user's emotional state, to suggest an appropriate menu. For example, if the user is feeling stressed, the server will prioritize generating a menu using ingredients that will help reduce stress. The generated menu is sent from the server to the user's device, where the user can review it.

[1004] Furthermore, the server collects sale information from nearby stores based on the user's location information. This allows the user to purchase ingredients efficiently, leading to savings on food costs. The collected sale information is sent from the server to the terminal and provided to the user.

[1005] The server also stores past menu history in a database and adjusts the menu to avoid overlapping with past menus when generating new menus, allowing users to enjoy a variety of meals every day.

[1006] The server also adjusts the menu based on the user's health condition and nutritional balance information. This adjustment allows the user to maintain a healthy diet without being deficient in specific nutrients. For example, if the user has high cholesterol, the server will prioritize low-fat menus.

[1007] Specific examples

[1008] For example, suppose a user lives in "Shinjuku Ward, Tokyo" and inputs the following information: "Weekly food expenses are less than 5,000 yen," "Wheat allergy," "Likes Japanese food," and "Currently experiencing high stress." In addition, the user's health information is provided as "High cholesterol level."

[1009] Based on this information, the server generates a menu of mainly Japanese dishes, such as grilled fish, miso soup, and boiled vegetables, that are low in fat and wheat-free, and that use ingredients that are effective in reducing stress. It also collects information on special sales from supermarkets and markets around Shinjuku Ward, such as cabbage for 100 yen and chicken for 200 yen / kg, and provides it to the user.

[1010] In this way, users can enjoy healthy and varied meals while reducing the effort of planning their daily meals. By utilizing sales information, they can purchase ingredients efficiently within their budget. Furthermore, because the system takes into account the user's emotional state, more personalized menus are provided, improving user satisfaction.

[1011] The above is a detailed description of the embodiment of the present invention. This system enables people in dual-income households and those living busy modern lives to achieve healthy and efficient eating habits.

[1012] The processing flow will be explained below.

[1013] Specific processing steps of the system

[1014] Step 1:

[1015] The user launches the application and logs in.

[1016] Step 2:

[1017] The user inputs location information, budget information, allergy information, preferred food information, and emotional information into the terminal.

[1018] Step 3:

[1019] The terminal transmits the input user information to the server.

[1020] Step 4:

[1021] The server stores the received user information in a database.

[1022] Step 5:

[1023] The server obtains the user's location information, budget information, allergy information, preferred food information, and emotional information from the database.

[1024] Step 6:

[1025] The server automatically generates a variety of nutritionally balanced menus based on user information, taking into account the user's emotional information. For example, if the user is feeling stressed, the server generates a menu using ingredients that will help reduce stress.

[1026] Step 7:

[1027] The server transmits the generated menu information to the terminal.

[1028] Step 8:

[1029] The terminal displays the generated menu information to the user.

[1030] Step 9:

[1031] The server sets a search range based on the user's location information and collects sale information from nearby stores.

[1032] Step 10:

[1033] The server transmits the collected sale information to the terminal.

[1034] Step 11:

[1035] The terminal displays the sale information to the user.

[1036] Step 12:

[1037] When the server generates a new menu, it retrieves past menu history from the database.

[1038] Step 13:

[1039] The server will adjust the menu so that new menus do not overlap with past menus.

[1040] Step 14:

[1041] The server acquires the user's health condition and nutritional balance information.

[1042] Step 15:

[1043] The menu is adjusted based on the health status and nutritional balance information obtained by the server.

[1044] Step 16:

[1045] The terminal displays the adjusted menu to the user.

[1046] Specific examples

[1047] For example, suppose a user lives in "Shinjuku Ward, Tokyo" and inputs the following information: "Weekly food expenses are less than 5,000 yen," "Wheat allergy," "Likes Japanese food," and "Currently experiencing high stress." In addition, the user's health information is provided as "High cholesterol level."

[1048] Step 1:

[1049] The user launches the application and logs in.

[1050] Step 2:

[1051] The user enters their location (Shinjuku-ku, Tokyo), food expenses (under 5,000 yen), allergy information (wheat allergy), preferences (likes Japanese food), and emotions (currently feeling high in stress).

[1052] Step 3:

[1053] The terminal transmits this information to the server.

[1054] Step 4:

[1055] The server stores the received information in a database.

[1056] Step 5:

[1057] The server retrieves the stored user information and loads it from the database.

[1058] Step 6:

[1059] The server generates a variety of healthy menus based on the user's information. In this case, for a user with high stress levels, it suggests Japanese cuisine using ingredients that are effective in reducing stress. For example, it generates grilled fish, miso soup, and simmered vegetables.

[1060] Step 7:

[1061] The server sends the generated menu to the terminal.

[1062] Step 8:

[1063] The terminal displays the menu to the user.

[1064] Step 9:

[1065] The server uses the user's location information (Shinjuku-ku, Tokyo) to collect sales information from nearby supermarkets and markets. For example, it collects information about cabbage being sold for 100 yen and chicken being sold for 200 yen / kg.

[1066] Step 10:

[1067] The server transmits the collected sale information to the terminal.

[1068] Step 11:

[1069] The terminal displays the sale information to the user.

[1070] Step 12:

[1071] When the server generates a new menu, it retrieves past menu history from the database.

[1072] Step 13:

[1073] When the server generates a new menu, it adjusts it so that the same menu is not duplicated. For example, if the menu offered last month was curry, the new menu will not include curry.

[1074] Step 14:

[1075] The server acquires information that the cholesterol level is high as health information provided by the user.

[1076] Step 15:

[1077] The server generates low-fat menus with priority for users with high cholesterol levels.

[1078] Step 16:

[1079] The terminal displays the adjusted menu to the user.

[1080] These are the specific processing steps of the system that generates and provides menus by combining the user's location information, budget, allergy information, food preferences, health status, nutritional balance, and emotional information, thereby enabling the user to lead an efficient and healthy diet.

[1081] Example 2

[1082] 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."

[1083] In today's busy lifestyles, it is difficult to plan healthy, nutritionally balanced meals every day, especially for dual-income households. Furthermore, it takes a lot of time and effort to consider each user's budget, allergies, dietary preferences, and emotional state. Another challenge is efficiently utilizing sales information to reduce food costs. To solve these issues, a system is needed that can comprehensively manage user information and automatically generate optimal menus.

[1084] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1085] In this invention, the server includes means for acquiring user location information, means for acquiring user budget information, means for acquiring user allergy information and preferred food information, means for acquiring user emotion information, means for automatically generating healthy and varied menus based on the acquired user information, means for transmitting the generated menu information to the user, means for collecting sales information from nearby stores, means for providing the collected sales information to the user, means for managing past menu history and adjusting new menus to avoid overlapping with past menus when generating new menus, and means for adjusting the menu based on the user's health condition and nutritional balance information. This allows users to enjoy healthy and varied meals while saving them the trouble of having to think about their daily menus, and also allows them to reduce food costs by efficiently utilizing sales information.

[1086] "Location information" refers to geographic coordinates or address information for identifying the user's place of residence or current location.

[1087] "Budget information" is information about the amount of money a user can spend on a meal.

[1088] "Allergy information" refers to information about specific ingredients or substances that a user cannot or is dangerous to ingest.

[1089] "Favorite meal information" is information about the types of ingredients and dishes that the user likes.

[1090] "Emotion information" is information relating to the user's current mental state and emotions.

[1091] A "menu" is a series of meal combinations suggested to a user.

[1092] "Special sale information" is information about discounts and sales on products held at specific stores.

[1093] "Menu history" is a record of menus created in the past.

[1094] "Health status" refers to data related to the user's physical health, such as blood pressure and cholesterol levels.

[1095] "Nutrition balance information" is information about the types and amounts of nutrients contained in the user's diet.

[1096] The present invention is a system that automatically generates menus based on location information, budget information, allergy information, food preferences, and emotional information entered by a user, and also provides information on special sales. An embodiment of this system will be described in detail below.

[1097] System configuration

[1098] This system is mainly composed of a server, terminals, and a database. The role of each component is explained below.

[1099] 1. Terminal

[1100] The terminal is a device used by the user, such as a smartphone or PC. The terminal has the function of receiving various information entered by the user (location information, budget information, allergy information, preferred food information, emotional information) and sending this information to the server.

[1101] 2. Server

[1102] The server receives user information sent from the device and stores it in a database. The server is also equipped with a generative AI model that automatically generates optimal menus based on the input information.

[1103] Furthermore, the server collects sale information from nearby stores based on the user's location information and provides this information to the user.

[1104] 3. Database

[1105] The database stores information entered by the user, the generated menu, past menu history, sales information for nearby stores, and the user's health status and nutritional balance information. The server references this data as needed and uses it as the basis for providing optimal menus.

[1106] Hardware and Software Configuration

[1107] This system uses the following hardware and software:

[1108] Hardware: Smartphones, PCs, servers

[1109] Software: Database Management Systems (DBMS), generative AI models (e.g., TensorFlow)

[1110] Specific examples of operation

[1111] 1. Enter your user information

[1112] The user accesses the application using a terminal and enters the following information:

[1113] Address: Shinjuku Ward, Tokyo

[1114] Food expenses: Less than 5,000 yen per week

[1115] Allergens: Wheat

[1116] Food preference: Japanese food

[1117] Emotional state: Currently stressed

[1118] Health Information: High Cholesterol

[1119] 2. Data processing by the server

[1120] The server stores the user information received from the device in a database and uses the generative AI model to send the following prompt to the generative AI model:

[1121] "The user lives in Shinjuku, Tokyo, and has set a weekly budget of 5,000 yen or less. They have a wheat allergy and like Japanese food. Furthermore, they are currently under a lot of stress and their cholesterol levels have been confirmed to be high. Based on these conditions, please generate a low-fat menu centered around wheat-free Japanese food, using ingredients that will help reduce stress."

[1122] Examples of menu items generated by the AI ​​model include grilled fish, miso soup, and boiled vegetables.

[1123] 3. Collecting information on special offers

[1124] The server uses the user's location information to collect sale information from supermarkets and markets around Shinjuku Ward via API. For example, it obtains information on cabbage being sold for 100 yen and chicken being sold for 200 yen / kg.

[1125] 4. Providing menu and special sale information

[1126] The generated menu and collected sales information are sent from the server to the terminal, where users can refer to it to purchase ingredients efficiently and enjoy healthy meals.

[1127] In this way, users can enjoy a variety of healthy meals while saving the effort of planning their daily meals. In addition, by utilizing sales information, they can purchase ingredients efficiently within their budget.

[1128] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1129] Program processing flow

[1130] Step 1:

[1131] Users access the application using devices such as smartphones or PCs. They input their location information, food budget, allergy information, food preferences, and emotional information. Once the input is complete, the device sends this information to the server.

[1132] Input: Location, budget, allergies, food preferences, emotions

[1133] Output: Data packet sent to the server

[1134] How it works: Location information is automatically acquired using GPS, and dietary information and emotional state can be easily selected using drop-down menus and sliders.

[1135] Step 2:

[1136] The server receives the data packets sent from the terminal, analyzes the received data packets, extracts user information, and stores the extracted user information in a database.

[1137] Input: Data packet from the terminal

[1138] Output: User information stored in the database

[1139] What it does: It uses data packet parsing functions to convert user information into the appropriate format and store it in the database.

[1140] Step 3:

[1141] The server automatically generates menus using a generative AI model based on user information stored in a database (location, budget, allergy information, food preferences, and emotional information). Specific prompts are sent to the AI ​​model, which then generates an appropriate menu.

[1142] Input: User information stored in the database

[1143] Output: Generated menu

[1144] What it does: It uses a generative AI model (e.g., TensorFlow) to generate a menu by sending the following prompt:

[1145] "The user lives in Shinjuku, Tokyo, and has set a weekly budget of 5,000 yen or less. They have a wheat allergy and like Japanese food. Furthermore, they are currently under a lot of stress and their cholesterol levels have been confirmed to be high. Based on these conditions, please generate a low-fat menu centered around wheat-free Japanese food, using ingredients that will help reduce stress."

[1146] Step 4:

[1147] The server stores the generated menu in a database, converts it into a user-accessible format, and sends the converted menu to the user's terminal.

[1148] Input: Generated menu

[1149] Output: Menu information sent to the user's device

[1150] Specific operation: The generated menu is stored in a database, converted into a display format, and sent to the user's device.

[1151] Step 5:

[1152] The server collects sales information from nearby stores based on the user's location information, stores the collected sales information in a database, and sends it to the user's device.

[1153] Input: Location

[1154] Output: Sale information sent to the user's device

[1155] Specific operation: Through API, special sale information is obtained in real time from nearby supermarkets and markets and stored in a database.

[1156] Step 6:

[1157] The server adjusts the menu so that it does not overlap with past menus when creating a new menu. The server also adjusts the menu based on the user's health condition and nutritional balance information.

[1158] Input: Past meal history, user's health status and nutritional balance information

[1159] Output: New, adjusted menu

[1160] Specific operation: The system references past menu history stored in a database and adjusts the generative AI model to avoid duplicates in new menus. It also suggests low-fat menus based on the user's health information (e.g., cholesterol levels).

[1161] The above are the specific processing steps of this system. The specific operations, data processing or data calculations performed in each step, and their inputs and outputs have been explained in detail.

[1162] (Application example 2)

[1163] 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."

[1164] In today's busy lifestyles, users need to efficiently obtain high-quality, personalized ingredients and dishes while maintaining a healthy and varied diet and managing their household budgets by utilizing sales information. Furthermore, automatically generating menus that reflect the user's emotional state, health information, and past dietary history, and providing them through delivery services, is important for improving user satisfaction.

[1165] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1166] In this invention, the server includes means for acquiring user location information, means for acquiring user budget information, means for acquiring user allergy information and preferred meal information, means for automatically generating a healthy and varied menu based on the acquired user information, means for acquiring and considering user emotion information to generate a menu, means for transmitting the generated menu information to the user, means for collecting and providing user with sales information from nearby stores, and means for providing ingredients and cooked dishes in cooperation with a delivery service. This enables the user to efficiently receive personalized meal suggestions, utilize the sales information to purchase healthy and varied ingredients and dishes within their budget, and receive them through a convenient delivery service.

[1167] "User location information" refers to geographical data about the user's current location and its surroundings.

[1168] "User budget information" is information about the amount of money a user can spend on ingredients and meals within a specific period of time.

[1169] "Allergy information" refers to information about allergic reactions a user has to specific food ingredients or components.

[1170] "Favorite meal information" is information about ingredients and types of dishes that the user particularly likes.

[1171] A "healthy and varied menu" is a combination of meals using a variety of ingredients and cooking methods, taking into consideration the user's health condition and nutritional balance.

[1172] "Emotion information" is data relating to the user's current emotional state (for example, stress, happiness, fatigue, etc.).

[1173] "Menu information" is data about the specific meal contents and recipes that are proposed.

[1174] "Sale information" is information about discounts and special sales being held at nearby stores.

[1175] A "delivery service" is a service that delivers ingredients and cooked food ordered by a user to a location specified by the user.

[1176] A "server" is a computer system that receives and processes information sent by users to provide appropriate data and services.

[1177] System Configuration

[1178] The system of the present invention includes a server, a user's terminal (such as a smartphone or smart glasses), and an interface for linking with a delivery service. The server receives information sent from the user, processes it, and sends the results to the user's terminal.

[1179] User's device

[1180] The user's device is equipped with an application that acquires location information, budget information, allergy information, favorite food information, and emotional information. When the user inputs this information into the application, the device transmits the information to the server.

[1181] server

[1182] The server has the following functions:

[1183] 1. Collection and storage of user information

[1184] The system receives the user's location information, budget information, allergy information, preferred food information, and emotional information and stores them in a database.

[1185] 2. Menu generation

[1186] The system automatically generates healthy and varied menus based on collected user information, and also takes into account the user's emotional information to suggest menus that are suitable for reducing stress or other emotional states.

[1187] 3. Collecting information on special offers

[1188] Based on the user's location information, the system collects sale information from nearby stores in real time, allowing users to purchase ingredients efficiently.

[1189] 4. Collaboration with delivery services

[1190] Based on the user's menu selection, ingredients and cooked meals are delivered to the user through a delivery service.

[1191] Data calculation and processing

[1192] The server uses programming languages ​​such as Python to calculate and process data. For example, sales information is collected through an API, and menu planning is performed by an algorithm that takes into account the user's health and emotional state.

[1193] Software used

[1194] The following software is used:

[1195] Database systems (e.g. MySQL)

[1196] Programming language (e.g. Python)

[1197] Web API (e.g. RESTful API)

[1198] Machine learning models (e.g. TensorFlow)

[1199] Specific examples

[1200] For example, if a user enters information such as "living in Shinjuku Ward, Tokyo," "limiting weekly food expenses to 5,000 yen or less," "wheat allergy," "likes Japanese food," and "currently experiencing high stress," the server will suggest a Japanese menu including grilled fish, miso soup, boiled vegetables, etc. Furthermore, it will collect information on special sales from supermarkets around Shinjuku Ward, such as cabbage for 100 yen and chicken for 200 yen / kg, and provide it to the user.

[1201] Prompt Sentence Examples

[1202] Here are some example prompts to input to the generative AI model:

[1203] Request:

[1204] I am developing a smartphone app and would like to implement a function that automatically generates menus based on the user's location, budget, allergies, favorite foods, and emotional information, and also provides information about special offers. Can you give me a concrete example of a design that generates healthy and varied menus based on the information entered by the user and provides them in collaboration with a delivery service?

[1205] This system allows users to efficiently receive personalized meal suggestions, purchase a wide variety of healthy ingredients and dishes within their budget, and enjoy convenient delivery services.

[1206] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1207] Step 1:

[1208] The user's device acquires the user's location information, budget, allergy information, favorite food information, and emotional information, and transmits them to the server.

[1209] (Input: User information, Output: User data sent to the server)

[1210] The user inputs their location, food budget, wheat allergies and food preferences, and emotional state into the device, which then transmits this data to the server in one batch.

[1211] Step 2:

[1212] The server stores the received user location information, budget information, allergy information, preferred food information, and emotional information in a database.

[1213] (Input: user data, Output: information stored in the database)

[1214] The server analyzes the submitted user information and stores each data item in the corresponding field.

[1215] Step 3:

[1216] The server generates a healthy and varied menu based on user information.

[1217] (Input: saved user data, Output: generated menu)

[1218] The server generates a variety of menus using an algorithm that takes into account the user's health status and nutritional balance, as well as their emotional state.

[1219] Step 4:

[1220] The server collects sale information from nearby stores based on the user's location information.

[1221] (Input: User's location information, Output: Collected sale information)

[1222] The server uses location information to access the APIs of nearby stores and collect sale information in real time.

[1223] Step 5:

[1224] The server provides the collected sale information to the user.

[1225] (Input: Collected sale information, Output: Sale information sent to the user's device)

[1226] The server formats the sale information and converts it into a format that can be sent to the user's terminal.

[1227] Step 6:

[1228] The user's terminal displays the menu information and sale information sent from the server.

[1229] (Input: data from the server, Output: information displayed to the user)

[1230] The terminal displays the received menu information and sale information on a user interface.

[1231] Step 7:

[1232] The user selects a suggested menu and places an order through the delivery service.

[1233] (Input: User selection, Output: Order data for delivery service)

[1234] The user selects the desired ingredients and dishes from the menu displayed on the terminal and sends the order to the delivery service.

[1235] Step 8:

[1236] The delivery service processes the order and delivers the ingredients and cooked food to the user.

[1237] (Input: order data, Output: delivery to user)

[1238] The delivery service processes the received order and delivers the ingredients and food to the specified date, time and location.

[1239] This series of processing steps effectively allows the user to receive a personalized, healthy and varied diet.

[1240] 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.

[1241] 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.

[1242] 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.

[1243] [Fourth embodiment]

[1244] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1245] 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.

[1246] 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).

[1247] 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.

[1248] 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.

[1249] 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).

[1250] 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.

[1251] 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.

[1252] 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.

[1253] 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.

[1254] 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.

[1255] 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.

[1256] 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."

[1257] System Overview

[1258] The present invention is a system that automatically generates menus based on a user's location information, budget, allergy information, and preferred food information. Furthermore, this system also has the function of collecting sales information from nearby stores and providing it to the user. It also has the function of managing past menu history and avoiding duplication when creating a new menu. Furthermore, the system supports healthy eating habits by adjusting the menu taking into account the user's health condition and nutritional balance.

[1259] System Embodiments

[1260] Users access the application using a device such as a smartphone or PC. First, the user enters their location information, food budget, allergy information, and preferred food information. The device then sends this information to the server. The server then stores the received user information in a database. Similarly, when the user provides information about their health status or nutritional balance related to their diet, this information is also sent from the device to the server and stored in the database.

[1261] Next, the server automatically generates a variety of healthy meals based on the user's information. The server considers the user's budget, allergies, and dietary preferences to propose an appropriate meal. The generated meal is sent from the server to the user's device, where the user can review it.

[1262] Furthermore, the server collects sale information from nearby stores based on the user's location information. This allows the user to purchase ingredients efficiently, leading to savings on food costs. The collected sale information is sent from the server to the terminal and provided to the user.

[1263] The server also stores past menu history in a database and adjusts the menu to avoid overlapping with past menus when generating new menus, allowing users to enjoy a variety of meals every day.

[1264] Finally, the server adjusts the menu based on the user's health status and nutritional balance information. This adjustment allows the user to maintain a healthy diet without being deficient in specific nutrients. For example, if the user has high cholesterol, the server will prioritize low-fat menus.

[1265] Specific examples

[1266] For example, suppose a user lives in "Shinjuku Ward, Tokyo," and has entered information such as "Weekly food expenses are less than 5,000 yen," "Wheat allergy," and "Likes Japanese food." In addition, data such as "High cholesterol level" is provided as health information for the user.

[1267] Based on this information, the server generates low-fat, wheat-free menus, mainly consisting of Japanese dishes such as grilled fish, miso soup, and boiled vegetables. It also collects information on special sales from supermarkets and markets around Shinjuku Ward, such as cabbage for 100 yen and chicken for 200 yen / kg, and provides it to users.

[1268] In this way, users can enjoy healthy and varied meals while saving the effort of planning their daily meals. In addition, by utilizing sales information, they can purchase ingredients efficiently within their budget.

[1269] The above is a detailed description of the embodiment of the present invention. This system enables people in dual-income households and those living busy modern lives to achieve healthy and efficient eating habits.

[1270] The processing flow will be explained below.

[1271] Step 1:

[1272] The user launches the application and logs in.

[1273] Step 2:

[1274] The user inputs location information, budget information, allergy information, and preferred food information into the terminal.

[1275] Step 3:

[1276] The terminal transmits the input user information to the server.

[1277] Step 4:

[1278] The server stores the received user information in a database.

[1279] Step 5:

[1280] The server obtains the user's location information, budget information, allergy information, and preferred food information from the database.

[1281] Step 6:

[1282] The server automatically generates a variety of nutritionally balanced menus based on user information.

[1283] Step 7:

[1284] The server transmits the generated menu information to the terminal.

[1285] Step 8:

[1286] The terminal displays the generated menu information to the user.

[1287] Step 9:

[1288] The server sets a search range based on the user's location information and collects sale information from nearby stores.

[1289] Step 10:

[1290] The server transmits the collected sale information to the terminal.

[1291] Step 11:

[1292] The terminal displays the sale information to the user.

[1293] Step 12:

[1294] When the server generates a new menu, it retrieves past menu history from the database.

[1295] Step 13:

[1296] The server will adjust the menu so that new menus do not overlap with past menus.

[1297] Step 14:

[1298] The server acquires the user's health condition and nutritional balance information.

[1299] Step 15:

[1300] The menu is adjusted based on the health status and nutritional balance information obtained by the server.

[1301] Step 16:

[1302] The terminal displays the adjusted menu to the user.

[1303] These are the specific processing steps of the automatic menu generation app, which allows users to efficiently manage their daily meal plans and enjoy healthy and varied meals.

[1304] Example 1

[1305] 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."

[1306] In today's busy world, users often lack the time to plan their daily meals, making it difficult to consistently consume a variety of healthy meals. Finding efficient ways to purchase ingredients to reduce food costs is also a challenge. Furthermore, it is difficult to maintain a balanced diet while taking into account allergies and dietary preferences.

[1307] 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.

[1308] In this invention, the server includes means for acquiring user location information, means for acquiring user budget information, means for acquiring user allergy information and preferred dietary information, means for using a generative AI model to automatically generate healthy and varied menus based on the acquired user information, means for transmitting the generated menu information to the user, and means for acquiring the user's health condition and nutritional balance information and adjusting the menu based on that information. This allows the user to receive healthy and varied menus that take into account the user's allergy information and preferred dietary information while eliminating the need to think about daily menu planning. Furthermore, the system can adjust the nutritional balance to suit the user's health condition, enabling more appropriate dietary management.

[1309] "User location information" is information for identifying the geographical location where the user is currently located.

[1310] "User budget information" is information that indicates the limit of the amount of money that a user can spend on meals and ingredients.

[1311] "User allergy information" is information that helps a user avoid allergic reactions that may occur when consuming a particular food ingredient.

[1312] "Favorite meal information" is information about the types of meals and cooking styles that the user particularly likes.

[1313] A "generative AI model" is an artificial intelligence framework that automatically generates menus based on user information.

[1314] "User's health condition information" refers to data relating to the user's current health, such as blood cholesterol levels and blood pressure.

[1315] "Nutrition balance information" is information regarding the intake balance of various nutrients (vitamins, minerals, proteins, etc.) required by the user.

[1316] The present invention is a system that automatically generates menus based on a user's location information, budget, allergy information, and preferred food information. Furthermore, this system also has the function of collecting sales information from nearby stores and providing it to the user. It also has the function of managing past menu history and avoiding duplication when creating a new menu. Furthermore, the system supports healthy eating habits by adjusting the menu taking into account the user's health condition and nutritional balance.

[1317] System configuration

[1318] Hardware and Software Configuration

[1319] Users access the system using devices such as smartphones and PCs. These devices send the user's input information (location information, budget, allergy information, preferred food information, health status information, etc.) to the server.

[1320] The server receives user information and stores it in a database. Based on this stored data, it uses a generative AI model to generate appropriate menus. It also collects sales information from nearby stores via external APIs and provides it to users.

[1321] The generated menu information and sale information are sent to the user's terminal, where the user can check them.

[1322] Example of a system

[1323] For example, a user may input information such as "living in Shinjuku-ku, Tokyo," "spending less than 5,000 yen on food per week," "having a wheat allergy," and "liking Japanese food." Additionally, data such as "high cholesterol level" is provided as health information for the user.

[1324] 1. The user enters this information through the terminal and sends it to the server.

[1325] 2. The server stores this information in a database and uses a generative AI model to generate a menu of dishes such as grilled fish, miso soup, and simmered vegetables.

[1326] 3. The server also collects information about special sales from supermarkets and markets around Shinjuku Ward, such as cabbage for 100 yen and chicken for 200 yen / kg, and sends this information to the user's terminal.

[1327] This system allows users to enjoy a variety of healthy meals every day, and by utilizing sales information, they can effectively reduce food costs. Furthermore, the system can adjust the nutritional balance according to the user's health condition, allowing for more appropriate dietary management.

[1328] Prompt Sentence Examples

[1329] "Based on the information that the user lives in Shinjuku Ward, Tokyo, spends less than 5,000 yen on food per week, has a wheat allergy, and likes Japanese food, please suggest healthy, low-fat meals. Also, please collect and provide to the user information about special sales from stores in the Shinjuku Ward area."

[1330] The above is a detailed description of the embodiment of the present invention. This system enables people in dual-income households and those living busy modern lives to achieve healthy and efficient eating habits.

[1331] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1332] Step 1:

[1333] Users access the application using a device such as a smartphone or PC. In the input form, the user enters their location information (e.g., "Shinjuku-ku, Tokyo"), food budget (e.g., "Weekly food expenses under 5,000 yen"), allergy information (e.g., "wheat allergy"), and preferred food information (e.g., "Japanese food"). This information is the input data. The device collects the input data and sends it to the server. This is the output.

[1334] Step 2:

[1335] The server stores the user's location information, budget information, allergy information, and preferred food information received from the device in a database. The input of this operation is the received user information, and the output is the results stored in the database. The server proceeds with processing based on the stored data.

[1336] Step 3:

[1337] When a user provides health condition and nutritional balance information, the user sends this information to the server via the terminal (e.g., "high cholesterol level"). The server stores the health condition and nutritional balance information received from the user in a database. The input of this operation is the health condition and nutritional balance information, and the output is the results stored in the database.

[1338] Step 4:

[1339] The server launches a generative AI model based on the stored user information, automatically generating a healthy and varied menu. The input for this process is the user information stored in the database. The generative AI model receives this information as parameters and generates an appropriate menu (e.g., "grilled fish, miso soup, and simmered vegetables"). The generated menu is the output. The server then sends this menu information to the user's device.

[1340] Step 5:

[1341] The server calls an external API to collect sale information from nearby stores based on the user's location information. In response, it obtains, for example, "sale information about cabbage being sold for 100 yen and chicken being sold for 200 yen / kg." The input is the user's location information, and the output is the acquired sale information. The server sends this sale information to the terminal and provides it to the user.

[1342] Step 6:

[1343] The server stores past menu history in a database and adjusts it so that new menus do not overlap with past menus when generating them. For example, to avoid recreating a "grilled fish menu" that has already been provided, the server refers to past data to propose a new menu. The input is the past menu history, and the output is a new menu that avoids overlaps.

[1344] Step 7:

[1345] The server adjusts the generated menu based on the user's health condition and nutritional balance information. The input for this operation is user information including health condition and nutritional balance and the generated menu, and the output is the adjusted menu. For example, if the user has high cholesterol, the server will preferentially suggest low-fat menus. The adjusted menu information is then sent from the server to the terminal again and presented to the user.

[1346] These steps allow users to efficiently receive optimal menus and special sale information, supporting a healthy and varied diet.

[1347] (Application example 1)

[1348] 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."

[1349] In today's busy society, people often find it difficult to devote time and effort to planning their daily meals and managing their nutritional balance. It's also difficult to efficiently gather information on special offers, save money on food, and maintain a healthy diet. To address these challenges, a system is needed that can suggest appropriate menus based on individual user information and support ordering food delivery.

[1350] 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.

[1351] In this invention, the server includes means for acquiring user location information, means for acquiring user budget information, means for acquiring user allergy information and preferred meal information, means for automatically generating a variety of healthy menus based on the acquired user information, means for transmitting the generated menu information to the user, means for suggesting food delivery orders, and means for collecting and providing information on nearby special sales, thereby enabling users to plan and order daily meals, manage their health, and eat economically by using the special sales information.

[1352] "User location information" means information about a user's current location and surrounding area, obtained using GPS or network-based location data.

[1353] "User's budget information" is information about the amount of money the user plans to spend on meals, and reflects daily financial constraints.

[1354] "User allergy information" refers to information about ingredients and substances that a user should avoid consuming, and is data necessary to avoid health risks.

[1355] "Favorite meal information" is information that indicates the user's personal preferences regarding the types of dishes and ingredients that they like.

[1356] A "healthy and varied menu" is a meal menu that is nutritionally balanced and includes a variety of dishes and ingredients.

[1357] "Means for automatically generating menu information" refers to methods or algorithms that allow the system to automatically create an appropriate menu based on the user's individual information.

[1358] The "means for suggesting food delivery orders" is a method for suggesting an appropriate delivery service to the user based on the generated menu and encouraging the user to place an order.

[1359] "Means for collecting and providing sale information" refers to a system or method for collecting sale and discount information from nearby stores based on the user's location information and providing it to the user.

[1360] System Overview

[1361] The present invention is a system that automatically generates healthy and varied menus based on the user's location information, budget, allergy information, and food preferences, and also collects and provides information on sales at nearby stores to the user. It also has the function of suggesting food delivery orders based on the generated menus and managing past menu history.

[1362] System Embodiments

[1363] User operation procedure

[1364] Users access the application using devices such as smartphones or PCs. First, the user enters their location information, food budget, allergy information, preferred food information, and health condition. The device then sends this information to the server.

[1365] Server Processing

[1366] The server stores the received user information in a database. Similarly, when a user provides information about their health condition or nutritional balance related to their diet, this information is sent from the device to the server and stored in the database.

[1367] The server automatically generates a variety of healthy menus based on user information. It takes into account the user's budget, allergies, and dietary preferences, and also proposes menus that take into account nutritional balance and health status. The generated menus are sent from the server to the user's terminal, where they can be viewed.

[1368] Next, the server collects sales information from nearby stores based on the user's location information. The collected sales information is also sent from the server to the terminal, allowing the user to purchase ingredients efficiently.

[1369] Food delivery orders

[1370] The app also includes a function that suggests food delivery orders based on the generated menu information. Users can easily order the suggested dishes through the app, significantly reducing the effort required for daily meal planning and cooking.

[1371] Past menu history management

[1372] The server also stores past menu history in a database and adjusts the menu to avoid overlapping with past menus when generating new menus. This function allows users to enjoy a variety of meals every day.

[1373] Hardware and software used

[1374] Frontend: Smartphone app using React Native.

[1375] Backend: Flask-based API server.

[1376] Database: PostgreSQL

[1377] Specific examples

[1378] For example, consider the case where a user lives in "Shinjuku Ward, Tokyo," and inputs the following information: "Weekly food expenses are less than 5,000 yen," "I have a wheat allergy," and "I like Japanese food." Furthermore, the user's health information is provided, stating that "my cholesterol level is high." In this case, the server uses this information to generate a menu centered on Japanese food that is wheat-free and takes cholesterol levels into consideration, such as grilled fish, miso soup, and simmered vegetables. It also collects information on special sales from supermarkets around Shinjuku Ward, such as cabbage for 100 yen and chicken for 200 yen / kg, and provides this information to the user.

[1379] Based on the generated menu information and special sale information, users can order food delivery via the application, allowing them to enjoy meals efficiently.

[1380] Prompt Sentence Examples

[1381] "Can I use the SmartFood360 app to get recommendations for low-fat Japanese dishes? I'd also like to get information on special offers in Shinjuku Ward, Tokyo."

[1382] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1383] Step 1:

[1384] The user uses the device to input their location, budget, allergy information, preferred food information, and health condition into the application. Examples of input data include "Shinjuku Ward, Tokyo," "Weekly food expenses within 5,000 yen," "wheat allergy," "favorite Japanese food," and "high cholesterol level." This information is sent from the device to the server.

[1385] Step 2:

[1386] The server stores the received user information in a database. During this process, the user's location information, budget information, allergy information, preferred food information, and health condition are stored in the database in a format corresponding to each field.

[1387] Step 3:

[1388] The server automatically generates a variety of healthy meals based on the user's stored information. Specifically, the server selects recipes that fit the user's preferences, avoid allergies, and fit within the user's budget, and also runs an algorithm that considers the nutritional balance according to the user's health condition. For example, it prioritizes low-fat Japanese recipes.

[1389] Step 4:

[1390] The generated menu information is sent from the server to the terminal, where the user can check the proposed menu. The output results show the specific dish names and a list of necessary ingredients.

[1391] Step 5:

[1392] The server uses the user's location information to collect sales information for nearby stores. The server uses the location information to access the sales information API and collects sales information for the specified area. For example, it collects information such as "cabbage for 100 yen and chicken for 200 yen / kg at a supermarket in Shinjuku Ward."

[1393] Step 6:

[1394] The collected sale information is sent from the server to the terminal and provided to the user along with menu information. The user can purchase ingredients efficiently based on the suggested sale information.

[1395] Step 7:

[1396] Based on the generated menu information, the server suggests ordering food delivery. The server searches for information on food delivery services related to the suggested menu and provides the menu to the user. For example, it provides delivery options for the suggested Japanese menu.

[1397] Step 8:

[1398] When a user wants to place a food delivery order, they are redirected to the delivery service's order page from their device, where they can easily complete the order, including obtaining the necessary payment and delivery information.

[1399] Step 9:

[1400] The server also stores past menu history in a database and adjusts the menu so that new menus do not overlap with past menus, allowing users to enjoy a variety of meals every day and not get bored of the same menu.

[1401] Specific examples

[1402] As a concrete example, if a user lives in "Shinjuku Ward, Tokyo," inputs information such as "weekly food expenses are under 5,000 yen," "wheat allergy," and "likes Japanese food," and also provides health information such as "high cholesterol level," the server will use this information to generate a menu of dishes such as grilled fish, miso soup, and boiled vegetables. It will also collect information on special sales in the Shinjuku Ward area, such as cabbage for 100 yen and chicken for 200 yen / kg, and provide this information to the user. Users can check this information through the application and can also easily order food delivery services.

[1403] Prompt Sentence Examples

[1404] "Can I use the SmartFood360 app to get recommendations for low-fat Japanese dishes? I'd also like to get information on special offers in Shinjuku Ward, Tokyo."

[1405] 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.

[1406] System Overview

[1407] This system automatically generates menus based on a user's location, budget, allergy, food preferences, and emotional information. Furthermore, the system also has the function of collecting and providing information about sales at nearby stores to the user. The system also adjusts menus based on the user's past menu history, health status, nutritional balance, and emotional state, and suggests varied and healthy meals.

[1408] System Embodiments

[1409] Users access the application using devices such as smartphones or PCs. First, the user enters their location information, food budget, allergy information, and preferred food information. The device sends this information to the server. The server stores the received user information in a database. The user's emotional information is also sent to the server and stored in the database.

[1410] Next, the server automatically generates a healthy and varied menu based on the user information. In doing so, the server considers the user's budget, allergy information, and food preferences, as well as the user's emotional state, to suggest an appropriate menu. For example, if the user is feeling stressed, the server will prioritize generating a menu using ingredients that will help reduce stress. The generated menu is sent from the server to the user's device, where the user can review it.

[1411] Furthermore, the server collects sale information from nearby stores based on the user's location information. This allows the user to purchase ingredients efficiently, leading to savings on food costs. The collected sale information is sent from the server to the terminal and provided to the user.

[1412] The server also stores past menu history in a database and adjusts the menu to avoid overlapping with past menus when generating new menus, allowing users to enjoy a variety of meals every day.

[1413] The server also adjusts the menu based on the user's health condition and nutritional balance information. This adjustment allows the user to maintain a healthy diet without being deficient in specific nutrients. For example, if the user has high cholesterol, the server will prioritize low-fat menus.

[1414] Specific examples

[1415] For example, suppose a user lives in "Shinjuku Ward, Tokyo" and inputs the following information: "Weekly food expenses are less than 5,000 yen," "Wheat allergy," "Likes Japanese food," and "Currently experiencing high stress." In addition, the user's health information is provided as "High cholesterol level."

[1416] Based on this information, the server generates a menu of mainly Japanese dishes, such as grilled fish, miso soup, and boiled vegetables, that are low in fat and wheat-free, and that use ingredients that are effective in reducing stress. It also collects information on special sales from supermarkets and markets around Shinjuku Ward, such as cabbage for 100 yen and chicken for 200 yen / kg, and provides it to the user.

[1417] In this way, users can enjoy healthy and varied meals while reducing the effort of planning their daily meals. By utilizing sales information, they can purchase ingredients efficiently within their budget. Furthermore, because the system takes into account the user's emotional state, more personalized menus are provided, improving user satisfaction.

[1418] The above is a detailed description of the embodiment of the present invention. This system enables people in dual-income households and those living busy modern lives to achieve healthy and efficient eating habits.

[1419] The processing flow will be explained below.

[1420] Specific processing steps of the system

[1421] Step 1:

[1422] The user launches the application and logs in.

[1423] Step 2:

[1424] The user inputs location information, budget information, allergy information, preferred food information, and emotional information into the terminal.

[1425] Step 3:

[1426] The terminal transmits the input user information to the server.

[1427] Step 4:

[1428] The server stores the received user information in a database.

[1429] Step 5:

[1430] The server obtains the user's location information, budget information, allergy information, preferred food information, and emotional information from the database.

[1431] Step 6:

[1432] The server automatically generates a variety of nutritionally balanced menus based on user information, taking into account the user's emotional information. For example, if the user is feeling stressed, the server generates a menu using ingredients that will help reduce stress.

[1433] Step 7:

[1434] The server transmits the generated menu information to the terminal.

[1435] Step 8:

[1436] The terminal displays the generated menu information to the user.

[1437] Step 9:

[1438] The server sets a search range based on the user's location information and collects sale information from nearby stores.

[1439] Step 10:

[1440] The server transmits the collected sale information to the terminal.

[1441] Step 11:

[1442] The terminal displays the sale information to the user.

[1443] Step 12:

[1444] When the server generates a new menu, it retrieves past menu history from the database.

[1445] Step 13:

[1446] The server will adjust the menu so that new menus do not overlap with past menus.

[1447] Step 14:

[1448] The server acquires the user's health condition and nutritional balance information.

[1449] Step 15:

[1450] The menu is adjusted based on the health status and nutritional balance information obtained by the server.

[1451] Step 16:

[1452] The terminal displays the adjusted menu to the user.

[1453] Specific examples

[1454] For example, suppose a user lives in "Shinjuku Ward, Tokyo" and inputs the following information: "Weekly food expenses are less than 5,000 yen," "Wheat allergy," "Likes Japanese food," and "Currently experiencing high stress." In addition, the user's health information is provided as "High cholesterol level."

[1455] Step 1:

[1456] The user launches the application and logs in.

[1457] Step 2:

[1458] The user enters their location (Shinjuku-ku, Tokyo), food expenses (under 5,000 yen), allergy information (wheat allergy), preferences (likes Japanese food), and emotions (currently feeling high in stress).

[1459] Step 3:

[1460] The terminal transmits this information to the server.

[1461] Step 4:

[1462] The server stores the received information in a database.

[1463] Step 5:

[1464] The server retrieves the stored user information and loads it from the database.

[1465] Step 6:

[1466] The server generates a variety of healthy menus based on the user's information. In this case, for a user with high stress levels, it suggests Japanese cuisine using ingredients that are effective in reducing stress. For example, it generates grilled fish, miso soup, and simmered vegetables.

[1467] Step 7:

[1468] The server sends the generated menu to the terminal.

[1469] Step 8:

[1470] The terminal displays the menu to the user.

[1471] Step 9:

[1472] The server uses the user's location information (Shinjuku-ku, Tokyo) to collect sales information from nearby supermarkets and markets. For example, it collects information about cabbage being sold for 100 yen and chicken being sold for 200 yen / kg.

[1473] Step 10:

[1474] The server transmits the collected sale information to the terminal.

[1475] Step 11:

[1476] The terminal displays the sale information to the user.

[1477] Step 12:

[1478] When the server generates a new menu, it retrieves past menu history from the database.

[1479] Step 13:

[1480] When the server generates a new menu, it adjusts it so that the same menu is not duplicated. For example, if the menu offered last month was curry, the new menu will not include curry.

[1481] Step 14:

[1482] The server acquires information that the cholesterol level is high as health information provided by the user.

[1483] Step 15:

[1484] The server generates low-fat menus with priority for users with high cholesterol levels.

[1485] Step 16:

[1486] The terminal displays the adjusted menu to the user.

[1487] These are the specific processing steps of the system that generates and provides menus by combining the user's location information, budget, allergy information, food preferences, health status, nutritional balance, and emotional information, thereby enabling the user to lead an efficient and healthy diet.

[1488] Example 2

[1489] 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."

[1490] In today's busy lifestyles, it is difficult to plan healthy, nutritionally balanced meals every day, especially for dual-income households. Furthermore, it takes a lot of time and effort to consider each user's budget, allergies, dietary preferences, and emotional state. Another challenge is efficiently utilizing sales information to reduce food costs. To solve these issues, a system is needed that can comprehensively manage user information and automatically generate optimal menus.

[1491] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1492] In this invention, the server includes means for acquiring user location information, means for acquiring user budget information, means for acquiring user allergy information and preferred food information, means for acquiring user emotion information, means for automatically generating healthy and varied menus based on the acquired user information, means for transmitting the generated menu information to the user, means for collecting sales information from nearby stores, means for providing the collected sales information to the user, means for managing past menu history and adjusting new menus to avoid overlapping with past menus when generating new menus, and means for adjusting the menu based on the user's health condition and nutritional balance information. This allows users to enjoy healthy and varied meals while saving them the trouble of having to think about their daily menus, and also allows them to reduce food costs by efficiently utilizing sales information.

[1493] "Location information" refers to geographic coordinates or address information for identifying the user's place of residence or current location.

[1494] "Budget information" is information about the amount of money a user can spend on a meal.

[1495] "Allergy information" refers to information about specific ingredients or substances that a user cannot or is dangerous to ingest.

[1496] "Favorite meal information" is information about the types of ingredients and dishes that the user likes.

[1497] "Emotion information" is information relating to the user's current mental state and emotions.

[1498] A "menu" is a series of meal combinations suggested to a user.

[1499] "Special sale information" is information about discounts and sales on products held at specific stores.

[1500] "Menu history" is a record of menus created in the past.

[1501] "Health status" refers to data related to the user's physical health, such as blood pressure and cholesterol levels.

[1502] "Nutrition balance information" is information about the types and amounts of nutrients contained in the user's diet.

[1503] The present invention is a system that automatically generates menus based on location information, budget information, allergy information, food preferences, and emotional information entered by a user, and also provides information on special sales. An embodiment of this system will be described in detail below.

[1504] System configuration

[1505] This system is mainly composed of a server, terminals, and a database. The role of each component is explained below.

[1506] 1. Terminal

[1507] The terminal is a device used by the user, such as a smartphone or PC. The terminal has the function of receiving various information entered by the user (location information, budget information, allergy information, preferred food information, emotional information) and sending this information to the server.

[1508] 2. Server

[1509] The server receives user information sent from the device and stores it in a database. The server is also equipped with a generative AI model that automatically generates optimal menus based on the input information.

[1510] Furthermore, the server collects sale information from nearby stores based on the user's location information and provides this information to the user.

[1511] 3. Database

[1512] The database stores information entered by the user, the generated menu, past menu history, sales information for nearby stores, and the user's health status and nutritional balance information. The server references this data as needed and uses it as the basis for providing optimal menus.

[1513] Hardware and Software Configuration

[1514] This system uses the following hardware and software:

[1515] Hardware: Smartphones, PCs, servers

[1516] Software: Database Management Systems (DBMS), generative AI models (e.g., TensorFlow)

[1517] Specific examples of operation

[1518] 1. Enter your user information

[1519] The user accesses the application using a terminal and enters the following information:

[1520] Address: Shinjuku Ward, Tokyo

[1521] Food expenses: Less than 5,000 yen per week

[1522] Allergens: Wheat

[1523] Food preference: Japanese food

[1524] Emotional state: Currently stressed

[1525] Health Information: High Cholesterol

[1526] 2. Data processing by the server

[1527] The server stores the user information received from the device in a database and uses the generative AI model to send the following prompt to the generative AI model:

[1528] "The user lives in Shinjuku, Tokyo, and has set a weekly budget of 5,000 yen or less. They have a wheat allergy and like Japanese food. Furthermore, they are currently under a lot of stress and their cholesterol levels have been confirmed to be high. Based on these conditions, please generate a low-fat menu centered around wheat-free Japanese food, using ingredients that will help reduce stress."

[1529] Examples of menu items generated by the AI ​​model include grilled fish, miso soup, and boiled vegetables.

[1530] 3. Collecting information on special offers

[1531] The server uses the user's location information to collect sale information from supermarkets and markets around Shinjuku Ward via API. For example, it obtains information on cabbage being sold for 100 yen and chicken being sold for 200 yen / kg.

[1532] 4. Providing menu and special sale information

[1533] The generated menu and collected sales information are sent from the server to the terminal, where users can refer to it to purchase ingredients efficiently and enjoy healthy meals.

[1534] In this way, users can enjoy a variety of healthy meals while saving the effort of planning their daily meals. In addition, by utilizing sales information, they can purchase ingredients efficiently within their budget.

[1535] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1536] Program processing flow

[1537] Step 1:

[1538] Users access the application using devices such as smartphones or PCs. They input their location information, food budget, allergy information, food preferences, and emotional information. Once the input is complete, the device sends this information to the server.

[1539] Input: Location, budget, allergies, food preferences, emotions

[1540] Output: Data packet sent to the server

[1541] How it works: Location information is automatically acquired using GPS, and dietary information and emotional state can be easily selected using drop-down menus and sliders.

[1542] Step 2:

[1543] The server receives the data packets sent from the terminal, analyzes the received data packets, extracts user information, and stores the extracted user information in a database.

[1544] Input: Data packet from the terminal

[1545] Output: User information stored in the database

[1546] What it does: It uses data packet parsing functions to convert user information into the appropriate format and store it in the database.

[1547] Step 3:

[1548] The server automatically generates menus using a generative AI model based on user information stored in a database (location, budget, allergy information, food preferences, and emotional information). Specific prompts are sent to the AI ​​model, which then generates an appropriate menu.

[1549] Input: User information stored in the database

[1550] Output: Generated menu

[1551] What it does: It uses a generative AI model (e.g., TensorFlow) to generate a menu by sending the following prompt:

[1552] "The user lives in Shinjuku, Tokyo, and has set a weekly budget of 5,000 yen or less. They have a wheat allergy and like Japanese food. Furthermore, they are currently under a lot of stress and their cholesterol levels have been confirmed to be high. Based on these conditions, please generate a low-fat menu centered around wheat-free Japanese food, using ingredients that will help reduce stress."

[1553] Step 4:

[1554] The server stores the generated menu in a database, converts it into a user-accessible format, and sends the converted menu to the user's terminal.

[1555] Input: Generated menu

[1556] Output: Menu information sent to the user's device

[1557] Specific operation: The generated menu is stored in a database, converted into a display format, and sent to the user's device.

[1558] Step 5:

[1559] The server collects sales information from nearby stores based on the user's location information, stores the collected sales information in a database, and sends it to the user's device.

[1560] Input: Location

[1561] Output: Sale information sent to the user's device

[1562] Specific operation: Through API, special sale information is obtained in real time from nearby supermarkets and markets and stored in a database.

[1563] Step 6:

[1564] The server adjusts the menu so that it does not overlap with past menus when creating a new menu. The server also adjusts the menu based on the user's health condition and nutritional balance information.

[1565] Input: Past meal history, user's health status and nutritional balance information

[1566] Output: New, adjusted menu

[1567] Specific operation: The system references past menu history stored in a database and adjusts the generative AI model to avoid duplicates in new menus. It also suggests low-fat menus based on the user's health information (e.g., cholesterol levels).

[1568] The above are the specific processing steps of this system. The specific operations, data processing or data calculations performed in each step, and their inputs and outputs have been explained in detail.

[1569] (Application example 2)

[1570] 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."

[1571] In today's busy lifestyles, users need to efficiently obtain high-quality, personalized ingredients and dishes while maintaining a healthy and varied diet and managing their household budgets by utilizing sales information. Furthermore, automatically generating menus that reflect the user's emotional state, health information, and past dietary history, and providing them through delivery services, is important for improving user satisfaction.

[1572] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1573] In this invention, the server includes means for acquiring user location information, means for acquiring user budget information, means for acquiring user allergy information and preferred meal information, means for automatically generating a healthy and varied menu based on the acquired user information, means for acquiring and considering user emotion information to generate a menu, means for transmitting the generated menu information to the user, means for collecting and providing user with sales information from nearby stores, and means for providing ingredients and cooked dishes in cooperation with a delivery service. This enables the user to efficiently receive personalized meal suggestions, utilize the sales information to purchase healthy and varied ingredients and dishes within their budget, and receive them through a convenient delivery service.

[1574] "User location information" refers to geographical data about the user's current location and its surroundings.

[1575] "User budget information" is information about the amount of money a user can spend on ingredients and meals within a specific period of time.

[1576] "Allergy information" refers to information about allergic reactions a user has to specific food ingredients or components.

[1577] "Favorite meal information" is information about ingredients and types of dishes that the user particularly likes.

[1578] A "healthy and varied menu" is a combination of meals using a variety of ingredients and cooking methods, taking into consideration the user's health condition and nutritional balance.

[1579] "Emotion information" is data relating to the user's current emotional state (for example, stress, happiness, fatigue, etc.).

[1580] "Menu information" is data about the specific meal contents and recipes that are proposed.

[1581] "Sale information" is information about discounts and special sales being held at nearby stores.

[1582] A "delivery service" is a service that delivers ingredients and cooked food ordered by a user to a location specified by the user.

[1583] A "server" is a computer system that receives and processes information sent by users to provide appropriate data and services.

[1584] System Configuration

[1585] The system of the present invention includes a server, a user's terminal (such as a smartphone or smart glasses), and an interface for linking with a delivery service. The server receives information sent from the user, processes it, and sends the results to the user's terminal.

[1586] User's device

[1587] The user's device is equipped with an application that acquires location information, budget information, allergy information, favorite food information, and emotional information. When the user inputs this information into the application, the device transmits the information to the server.

[1588] server

[1589] The server has the following functions:

[1590] 1. Collection and storage of user information

[1591] The system receives the user's location information, budget information, allergy information, preferred food information, and emotional information and stores them in a database.

[1592] 2. Menu generation

[1593] The system automatically generates healthy and varied menus based on collected user information, and also takes into account the user's emotional information to suggest menus that are suitable for reducing stress or other emotional states.

[1594] 3. Collecting information on special offers

[1595] Based on the user's location information, the system collects sale information from nearby stores in real time, allowing users to purchase ingredients efficiently.

[1596] 4. Collaboration with delivery services

[1597] Based on the user's menu selection, ingredients and cooked meals are delivered to the user through a delivery service.

[1598] Data calculation and processing

[1599] The server uses programming languages ​​such as Python to calculate and process data. For example, sales information is collected through an API, and menu planning is performed by an algorithm that takes into account the user's health and emotional state.

[1600] Software used

[1601] The following software is used:

[1602] Database systems (e.g. MySQL)

[1603] Programming language (e.g. Python)

[1604] Web API (e.g. RESTful API)

[1605] Machine learning models (e.g. TensorFlow)

[1606] Specific examples

[1607] For example, if a user enters information such as "living in Shinjuku Ward, Tokyo," "limiting weekly food expenses to 5,000 yen or less," "wheat allergy," "likes Japanese food," and "currently experiencing high stress," the server will suggest a Japanese menu including grilled fish, miso soup, boiled vegetables, etc. Furthermore, it will collect information on special sales from supermarkets around Shinjuku Ward, such as cabbage for 100 yen and chicken for 200 yen / kg, and provide it to the user.

[1608] Prompt Sentence Examples

[1609] Here are some example prompts to input to the generative AI model:

[1610] Request:

[1611] I am developing a smartphone app and would like to implement a function that automatically generates menus based on the user's location, budget, allergies, favorite foods, and emotional information, and also provides information about special offers. Can you give me a concrete example of a design that generates healthy and varied menus based on the information entered by the user and provides them in collaboration with a delivery service?

[1612] This system allows users to efficiently receive personalized meal suggestions, purchase a wide variety of healthy ingredients and dishes within their budget, and enjoy convenient delivery services.

[1613] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1614] Step 1:

[1615] The user's device acquires the user's location information, budget, allergy information, favorite food information, and emotional information, and transmits them to the server.

[1616] (Input: User information, Output: User data sent to the server)

[1617] The user inputs their location, food budget, wheat allergies and food preferences, and emotional state into the device, which then transmits this data to the server in one batch.

[1618] Step 2:

[1619] The server stores the received user location information, budget information, allergy information, preferred food information, and emotional information in a database.

[1620] (Input: user data, Output: information stored in the database)

[1621] The server analyzes the submitted user information and stores each data item in the corresponding field.

[1622] Step 3:

[1623] The server generates a healthy and varied menu based on user information.

[1624] (Input: saved user data, Output: generated menu)

[1625] The server generates a variety of menus using an algorithm that takes into account the user's health status and nutritional balance, as well as their emotional state.

[1626] Step 4:

[1627] The server collects sale information from nearby stores based on the user's location information.

[1628] (Input: User's location information, Output: Collected sale information)

[1629] The server uses location information to access the APIs of nearby stores and collect sale information in real time.

[1630] Step 5:

[1631] The server provides the collected sale information to the user.

[1632] (Input: Collected sale information, Output: Sale information sent to the user's device)

[1633] The server formats the sale information and converts it into a format that can be sent to the user's terminal.

[1634] Step 6:

[1635] The user's terminal displays the menu information and sale information sent from the server.

[1636] (Input: data from the server, Output: information displayed to the user)

[1637] The terminal displays the received menu information and sale information on a user interface.

[1638] Step 7:

[1639] The user selects a suggested menu and places an order through the delivery service.

[1640] (Input: User selection, Output: Order data for delivery service)

[1641] The user selects the desired ingredients and dishes from the menu displayed on the terminal and sends the order to the delivery service.

[1642] Step 8:

[1643] The delivery service processes the order and delivers the ingredients and cooked food to the user.

[1644] (Input: order data, Output: delivery to user)

[1645] The delivery service processes the received order and delivers the ingredients and food to the specified date, time and location.

[1646] This series of processing steps effectively allows the user to receive a personalized, healthy and varied diet.

[1647] 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.

[1648] 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.

[1649] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1650] 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.

[1651] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1652] 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.

[1653] 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).

[1654] 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.

[1655] 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."

[1656] 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.

[1657] 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).

[1658] 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.

[1659] 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.

[1660] 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.

[1661] 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.

[1662] 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.

[1663] 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.

[1664] 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.

[1665] 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.

[1666] 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.

[1667] 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.

[1668] The following is further disclosed regarding the above embodiment.

[1669] (Claim 1)

[1670] A means for acquiring user location information;

[1671] a means for obtaining budget information for a user;

[1672] A means for acquiring user allergy information and preferred dietary information;

[1673] A means to automatically generate healthy and varied menus based on acquired user information;

[1674] The system includes a means for transmitting the generated menu information to a user.

[1675] (Claim 2)

[1676] A means for collecting sale information of nearby stores based on the user's location information;

[1677] 10. The system of claim 1, further comprising means for providing the collected sale information to a user.

[1678] (Claim 3)

[1679] Manage your past menu history,

[1680] 2. The system according to claim 1, further comprising means for adjusting a new menu to avoid overlapping with past menus when generating a new menu.

[1681] (Claim 4)

[1682] A means for acquiring health status and nutritional balance information of a user;

[1683] 2. The system according to claim 1, further comprising means for adjusting a menu based on the acquired health condition and nutritional balance information.

[1684] (Claim 5)

[1685] 10. The system of claim 1, further comprising means for storing user location information, budget information, allergy information, and preferred meal information in the database.

[1686] "Example 1"

[1687] (Claim 1)

[1688] A means for acquiring user location information;

[1689] a means for obtaining budget information for a user;

[1690] A means for acquiring user allergy information and preferred dietary information;

[1691] A means for using a generative AI model to automatically generate a variety of healthy meals based on the acquired user information; and

[1692] A means for transmitting the generated menu information to a user;

[1693] A means for acquiring information on the user's health condition and nutritional balance and adjusting menus based on the information;

[1694] A system including:

[1695] (Claim 2)

[1696] 2. The system according to claim 1, further comprising means for collecting sales information of nearby stores based on the user's location information and providing the same to the user.

[1697] (Claim 3)

[1698] 2. The system according to claim 1, further comprising means for managing a history of past menus and adjusting the menus so that they do not overlap with past menus when generating new menus.

[1699] "Application Example 1"

[1700] (Claim 1)

[1701] A means for acquiring user location information;

[1702] a means for obtaining budget information for a user;

[1703] A means for acquiring user allergy information and preferred dietary information;

[1704] A means to automatically generate healthy and varied menus based on acquired user information;

[1705] A means for transmitting the generated menu information to a user;

[1706] a means of suggesting food delivery orders;

[1707] A system including a means for collecting and providing information about nearby special offers.

[1708] (Claim 2)

[1709] 10. The system of claim 1, further comprising means for suggesting the food delivery order.

[1710] (Claim 3)

[1711] Manage your past menu history,

[1712] The system of claim 1, wherein when generating a new menu, adjustments are made to prevent overlap with past menus.

[1713] "Example 2: Combining Emotion Engines"

[1714] (Claim 1)

[1715] A means for acquiring user location information;

[1716] a means for obtaining budget information for a user;

[1717] A means for acquiring user allergy information and preferred dietary information;

[1718] A means for acquiring user emotion information;

[1719] A means to automatically generate healthy and varied menus based on acquired user information;

[1720] A means for transmitting the generated menu information to a user;

[1721] A means of collecting information on special sales at nearby stores,

[1722] A means for providing the collected sale information to a user;

[1723] A means for managing past menu history and adjusting new menus so that they do not overlap with past menus when generating new menus;

[1724] A means to adjust menus based on the user's health status and nutritional balance information

[1725] A system including:

[1726] (Claim 2)

[1727] A means for collecting sale information of nearby stores based on the user's location information;

[1728] 10. The system of claim 1, further comprising means for providing the collected sale information to a user.

[1729] (Claim 3)

[1730] Manage your past menu history,

[1731] 2. The system according to claim 1, further comprising means for adjusting a new menu to avoid overlapping with past menus when generating a new menu.

[1732] "Application example 2 when combining emotion engines"

[1733] (Claim 1)

[1734] A means for acquiring user location information;

[1735] a means for obtaining budget information for a user;

[1736] A means for acquiring user allergy information and preferred dietary information;

[1737] A means to automatically generate healthy and varied menus based on acquired user information;

[1738] A means for generating a menu by acquiring and considering emotional information of a user;

[1739] A means for transmitting the generated menu information to a user;

[1740] A means for collecting and providing to the user sales information of nearby stores;

[1741] A system that includes a means to provide ingredients and cooked meals in cooperation with delivery services.

[1742] (Claim 2)

[1743] A means for collecting sales information of nearby stores based on location information of a user, and a means for providing the collected sales information to the user;

[1744] 10. The system of claim 1, further comprising means for generating a menu taking into account emotional information of a user.

[1745] (Claim 3)

[1746] 2. The system according to claim 1, further comprising means for managing past menu history and health information of the user, and adjusting the menu so that a new menu does not overlap with past menus when a new menu is generated. [Explanation of symbols]

[1747] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for acquiring user location information; a means for obtaining budget information for a user; A means for acquiring user allergy information and preferred dietary information; A means to automatically generate healthy and varied menus based on acquired user information; The system includes a means for transmitting the generated menu information to a user.

2. A means for collecting sale information of nearby stores based on the user's location information; 10. The system of claim 1, further comprising means for providing the collected sale information to a user.

3. Manage your past menu history, 2. The system according to claim 1, further comprising means for adjusting a new menu to avoid overlapping with a past menu when generating the new menu.

4. A means for acquiring health status and nutritional balance information of a user; The system according to claim 1, further comprising means for adjusting a menu based on the acquired health condition and nutritional balance information.

5. 10. The system of claim 1, further comprising means for storing user location information, budget information, allergy information, and meal preference information in a database.

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