16 results about "Nutritional information" patented technology

This is an information provision system for food service establishments designed to support maintaining a balanced diet while promoting a diverse dietary lifestyle. The system includes a dish information storage unit that stores information about dishes offered by food service establishments, linked to their nutritional information. It also has a meal information storage unit that records user meal information, including nutritional details of dishes the user has consumed in the past or plans to consume in the future, associated with the date or period of consumption.

A system is provided.SOLUTION: A system including means for a user to photograph and upload an image of a food, means for a server to analyze the received image and identify the food, means for the server to acquire nutrition information of the identified food and chart a nutrition balance, means for the terminal to display the nutrition balance chart to a user, means for the user to input a chronic disease information and a health goal and for the server to individually make a suitable diet proposal, means for supporting purchase of foodstuffs according to a budget in a convenience store and a supermarket, and means for linking the nutrition balance information with a medical institution.SELECTED DRAWING: Figure 1

A smart dining system (100) is disclosed for automatically tracking nutritional intake during buffet-style or self-service dining. The system includes one or more smart serving trays (102) equipped with a weight sensor (104), a processing unit (150), a memory (120) storing nutritional information, and a wireless transmitter (152). When a user removes a portion of food, the tray (102) detects a reduction in weight and determines a corresponding nutritional value. This nutritional value is communicated in real time to a smart plate (110) or user device (160) having a wireless receiver (162), an electronic display (112, 164), and a processing arrangement (166) that updates both per-portion and cumulative nutritional totals. Optional components include a tray identifier (170), a refill detector (174), an indicator element (176), and a smart serving utensil (130) having a utensil-mounted weight sensor (132), plate identification sensor (134), and wireless transmitter (136). A backend dashboard (122) may remotely manage nutritional parameters and log consumption data (184). The system enables seamless, accurate, real-time nutritional tracking without requiring manual input, plate weighing, or interruption to the user's natural serving behavior.

Disclosed herein is a multimodal meal model configured to receive a variety of inputs associated with one or more meals, the inputs including image data, textual data, video data, and audio data. Inputs may be combined into a predefined prompt template that includes placeholders defined for certain types of inputs and includes instructions for how the output from the model should be structured. The meal visualization model is configured to generate dynamically annotated and interactive graphical user interfaces based on the inputs including interfaces that provide interactive graphical elements for manipulating meal components identified within the inputs. The model is also configured to provide personalized recommendations based on the inputs and user data, such as user glucose information and medical history. The interactive user interfaces may also be configured to display the personalized recommendations, which may also include interactive elements that enable manipulation of the recommendations by the user.

Provide a system. 【Solution means】 Means for inputting individual biological information and target information, Processing means having an algorithm for generating an appropriate exercise plan based on the biological information and the target information, Display means for displaying the exercise plan, Means for instantaneously collecting the user's motion data using a measuring instrument and a photographing device, Means for analyzing the motion data and providing auxiliary information to the user, Means for analyzing the user's progress information and generating visualized information, Means for inputting nutritional information and analyzing the balance of nutrients, Means for generating guidance on nutrition based on the analysis result, Means for finely adjusting the user's posture to assist exercise within the home, Means including a home support device for providing nutritional guidance in a home environment, A system including the above.

The present application relates to the technical field of data processing, and provides a menu generation method and device based on multiple agents, a terminal, a storage medium and a computer program product, the method comprising: obtaining input information of a user, analyzing the input information, and determining demand information and dining scene information of the user; based on the recipe demand information and the dining scene information, determining supplementary information by using RAG technology; generating recipe information according to the recipe demand information, the dining scene information and the supplementary information; determining nutritional information of the recipe information; and optimizing the recipe information according to the nutritional demand information and the nutritional information to obtain target recipe information required as a menu generated based on multiple agents. The present application can combine user demand of multiple modal inputs and multiple scene constraints, generate an executable creative menu scheme that meets individual tastes and takes into account nutritional balance through a feedback mechanism and continuous learning ability, and improve user experience.

We provide the system. [Solution] An analysis means that receives meal data registered by the user and identifies ingredients based on said meal data, A means for obtaining the nutritional components of the identified food ingredient from a data warehouse, An evaluation method for assessing which nutrients a user should consume and which they should avoid based on the acquired nutritional information, A suggestion means that proposes healthy ingredients or dishes to the user based on the evaluation results, A generation means for generating a link to purchase the proposed food ingredients or supplements, A means of moving around within the user's living space and acquiring meal data, A system that includes this.

Various systems and methods are disclosed. One or more of the methods disclosed uses machine learning algorithms to predict biophysical responses from biophysical data, such as heart rate monitor data, food logs, or glucose measurements. Biophysical responses may include behavioral responses. Additional systems and methods extract nutritional information from food items by parsing strings containing names of food items.

A system is provided.SOLUTION: A system comprising: means for inputting allergy information and like and dislike information by a user; means for inputting food materials that the user wants to use; means for inputting health limitation items by the user; means for acquiring corresponding information from a database including nutritional information based on the input information; means for using a AI engine for generating a cooking recipe based on the acquired information and the health limitation items; and means for presenting the generated cooking recipe and cooking procedure to the user.SELECTED DRAWING: Figure 1

We provide the system. [Solution] A means of obtaining user preferences, dietary restrictions, health data, budget, and location information, Based on the above input data and location information, a means for collecting menu, price, nutritional information, and rating information from nearby restaurants, Based on the above collected data and user input data, a generation means for generating a lunch plan is provided. A means for notifying the user of the generated lunch plan, A system that includes this.

Preferences with respect nutrition and ingredients are established for a user. The preferences are managed and stored on a mobile device. Images of nutrition and ingredient information are captured and analyzed against the preferences. Any ingredient for an item associated with the images that do not conform to the preferences are flagged and the user notified. The user is provided an option to receive a substitute item that does conform with the preferences. In an embodiment, a discount is provided to the user for incentivizing the user to select the substitute item.

The system according to this embodiment aims to easily obtain nutritional information of food and to visually understand its effects. [Solution] The system according to the embodiment includes a reception unit, an analysis unit, a provision unit, and a generation unit. The reception unit scans the barcode of the food. The analysis unit analyzes the barcode information acquired by the reception unit and identifies the nutritional components. The provision unit provides the nutritional component information identified by the analysis unit. The generation unit generates what the user would look like if they continued to eat the food for three months, based on the nutritional component information provided by the provision unit.

The system according to the embodiment aims to automate nutritional management and meal plan proposals, and to purchase ingredients at the optimal price. [Solution] A system according to an embodiment includes an analysis unit, a generation unit, a suggestion unit, and an acquisition unit. The analysis unit analyzes nutritional information. The generation unit automatically generates a menu based on the information analyzed by the analysis unit. The suggestion unit proposes a meal plan based on the menu generated by the generation unit. The acquisition unit acquires location information. The analysis unit analyzes price information based on the location information acquired by the acquisition unit. The suggestion unit suggests the cheapest store based on the price information analyzed by the analysis unit.

A system is provided.SOLUTION: A system comprising: means for capturing an image of food; means for transmitting the captured image to a server; means for analyzing the image and identifying the food by the server; means for generating a menu based on the identified food; means for analyzing nutritional values of the generated menu and converting the nutritional values into a graph and numerical values; means for presenting insufficient nutrients based on the analysis result; and means for displaying information on the menu and the nutritional values on a user terminal.SELECTED DRAWING: Figure 1

Systems, methods, and other embodiments associated with an interactive customizable meal and event planning and management system for facilitating personal organization and planning, e-commerce, social engagement and collaboration, are described. In one embodiment, a method includes generating a customizable plan module of a multi-process meal plan including creating one or more recipe cards, each recipe card includes ingredient, dietary, allergen, or nutritional information, and configuring the at least one recipe card to define a meal component of a plurality of meal components of the multi-process plan, where each defined meal component includes at least one recipe card. The example method may also include displaying partitions for each customizable plan module, each partition corresponding to one meal component, and each partition receiving at least one recipe card for defining a corresponding meal component and retrieving a nutritional information for each recipe card based on the contents of the recipe card.

Disclosed herein is a multimodal meal model configured to receive a variety of inputs associated with one or more meals, the inputs including image data, textual data, video data, and audio data. Inputs may be combined into a predefined prompt template that includes placeholders defined for certain types of inputs and includes instructions for how the output from the model should be structured. The meal visualization model is configured to generate dynamically annotated and interactive graphical user interfaces based on the inputs including interfaces that provide interactive graphical elements for manipulating meal components identified within the inputs. The model is also configured to provide personalized recommendations based on the inputs and user data, such as user glucose information and medical history. The interactive user interfaces may also be configured to display the personalized recommendations, which may also include interactive elements that enable manipulation of the recommendations by the user.