Randomized Meal Generation from Available Ingredients and Dietary Needs

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Solution Overview

Problem

Conventional health applications require substantial user data entry, are inflexible to real-time conditions, and suffer from information overload, leading to user frustration and ineffective usage.

Innovation Solution

A health system and application that minimizes data entry, generates meals based on user preferences and available ingredients, and provides flexible meal options tailored to nutritional goals, with a graphical interface for easy understanding of nutritional information.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If conventional health applications require substantial user data entry to provide nutritional recommendations, then the accuracy and personalization of diet recommendations improve, but user frustration increases and usage discontinues

Engineering Contradiction:

Improveamount of user data collectedVSAvoiduser convenience

Core Design Contradiction:

Quantity of substanceVSEase of operation

Solution Approach 1:

The system automatically collects user data through passive means such as mobile device sensors, app usage patterns, and integrated health tracking features, eliminating the need for manual data entry by users while still gathering comprehensive information for personalized recommendations

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system implements continuous feedback loops where user responses to recommendations, consumption patterns, and preference selections are automatically captured and used to refine future recommendations, reducing the need for extensive initial data collection

Inventive Principle:

Principle #23Feedback

2Loss of information

If conventional health applications provide comprehensive nutritional information and recipes, then the completeness of nutritional guidance improves, but information overload occurs and user engagement decreases

Engineering Contradiction:

Improvecompleteness of nutritional informationVSAvoidinformation processing complexity

Core Design Contradiction:

Loss of informationVSDevice complexity

Solution Approach 1:

The system divides comprehensive nutritional information into modular, context-specific portions delivered at appropriate times, presenting only relevant information based on user situation rather than overwhelming users with all available data simultaneously

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system provides just enough information needed for the user's current decision-making context rather than complete nutritional analysis, delivering supplementary detailed information only when users express specific interest or need

Inventive Principle:

Principle #16Partial or excessive action

3Manufacturing precision

If conventional health applications provide fixed recipe recommendations, then the nutritional accuracy improves, but flexibility to real-time conditions decreases and usability suffers

Engineering Contradiction:

Improvenutritional accuracyVSAvoidflexibility to user conditions

Core Design Contradiction:

Manufacturing precisionVSAdaptability or versatility

Solution Approach 1:

The system transforms static recipe recommendations into dynamic, adaptable suggestions that automatically adjust based on real-time user inputs such as available ingredients, time constraints, equipment availability, and changing nutritional goals while maintaining nutritional accuracy through continuous calculation

Inventive Principle:

Principle #15Dynamics

4Measurement precision

If conventional health applications require extensive data entry on a daily basis, then the accuracy of progress tracking improves, but time consumption increases and user motivation decreases

Engineering Contradiction:

Improveaccuracy of progress trackingVSAvoidtime for data entry

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system automatically tracks user progress through integration with mobile device sensors, health app ecosystems, and passive data collection methods, eliminating manual entry requirements while maintaining accurate progress measurement through automated data capture from various sources

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS12354728B2Building meals based on ingredients on hand and dietary needs

Publication Date: 2025.07.08 BIA STUDIOS LLC

AI summary

A system for building a meal includes: a processing device configured to generate a meal based on user health data and dietary data; a communications link connecting a client computing device to the processing device for transmitting the user health data and dietary data; a food database containing an archive of food ingredients and nutritional data; and randomly-generated meal data having a subset of ingredients and nutritional facts for each ingredient in said subset. The processing device has a sub-meal randomization generator to randomly select a sub-meal based on a signal indicative of a meal type selected from the client computing device, and an ingredients randomization generator to access the food database, filter the archive of food ingredients based on the dietary data to determine a set of ingredients, and randomly select from the set of food ingredients said subset of ingredients based on the sub-meal.