Food providing system, food providing method, and program
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Solution Overview
Problem
Existing meal suggestion systems fail to consider user preferences, schedule, and family composition, leading to unbalanced nutrition and higher costs.
Innovation Solution
A food providing system that includes an information acquisition unit, recipe suggestion unit, and providing means selection unit, utilizing machine learning to suggest personalized recipes and delivery options based on user data, including health risks and preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If restaurants or delivery services are used to save cooking labor and time, then the user's labor and time are reduced, but the nutrition becomes unbalanced and unit prices per meal increase
Solution Approach 1:
The system enables users to independently select balanced meal options by providing nutritional information and personalized recommendations based on their dietary requirements, allowing them to make informed choices without requiring cooking skills or time
Solution Approach 2:
The system continuously monitors user feedback on selected meals and adjusts recommendations to maintain nutritional balance, ensuring that even when using delivery services or restaurants, users receive nutritionally appropriate meal suggestions
2Loss of time
If restaurants or delivery services are used to save cooking labor and time, then the user's labor and time are reduced, but the unit price per meal increases
Solution Approach 1:
The system changes the parameter of meal selection from random or preference-based to nutritionally-optimized and cost-efficient by providing personalized recommendations that consider both nutritional requirements and budget constraints, helping users choose more economical meal options
3Device complexity
If meal menus are suggested based on basic user information, then the suggestion process is simplified, but the appropriateness of meal suggestions decreases
Solution Approach 1:
The system segments the meal suggestion process into multiple stages: collecting comprehensive user information (preferences, schedule, family composition, nutritional needs), analyzing this data through personalized algorithms, and providing tailored meal recommendations. This segmentation allows the system to handle complexity in a structured way while delivering highly appropriate suggestions
Data Source
AI summary
The present invention makes a more appropriate suggestion concerning a meal of a user. A food providing system is provided with: an information acquisition unit for acquiring user information relating to a user as a food providing subject; a recipe suggestion unit for suggesting a plurality of recipes of dishes to the user on the basis of the user information; a recipe selection result acquisition unit for acquiring a result of a selection by the user for the plurality of recipes suggested by the recipe suggestion unit; and a providing means selection result acquisition unit for acquiring a result of a selection by the user concerning providing means of food provided on the basis of the recipe.