Personalized Meal Plan System Optimizing Nutrient Intake
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Solution Overview
Problem
Existing dietary guidance methods focus primarily on calorie counting, neglecting the comprehensive nutritional needs of the body for optimal health, including vitamins, minerals, phytochemicals, and disease prevention qualities of foods.
Innovation Solution
A computerized system and software that analyzes user health information and goals to provide personalized meal plans, optimizing dietary consumption by calculating an 'Optimizer Score' based on nutrient intake and health objectives, and offering recommendations for food and ingredient choices to maximize health benefits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If calorie counting methods are used for dietary guidance, then users can track energy intake, but users fail to meet comprehensive nutritional needs including vitamins, minerals, and phytochemicals
Solution Approach 1:
The system segments nutritional tracking into multiple independent components: calorie counting, vitamin tracking, mineral tracking, phytochemical tracking, and disease prevention quality tracking. Each nutrient category is monitored separately through database lookups and calculations, allowing comprehensive nutritional assessment without overwhelming the user interface.
Solution Approach 2:
The dietary guidance system performs multiple functions simultaneously: it tracks calories, calculates vitamin intake, monitors mineral levels, assesses phytochemical consumption, and evaluates disease prevention qualities. This multi-functional approach replaces the need for separate tracking systems with a single integrated platform that provides holistic nutritional guidance.
2Loss of information
If comprehensive nutritional tracking is implemented, then users receive complete dietary guidance, but system complexity increases
Solution Approach 1:
The system automatically retrieves nutritional data from databases using food identifiers, performs calculations for nutrient intake and deficiencies, generates personalized meal plans, and updates tracking metrics without manual user intervention. This self-service approach handles the computational complexity internally while presenting a simple interface to users.
Solution Approach 2:
The system uses database lookups as intermediaries to bridge between simple user inputs (food selections) and complex nutritional analysis. The database acts as a mediator that stores pre-computed nutritional information, allowing the system to retrieve comprehensive data without performing complex real-time calculations for each food item.
3Adaptability or versatility
If personalized meal plans are generated based on health goals, then users achieve specific health objectives, but computational requirements increase
Solution Approach 1:
The system pre-calculates and stores optimal meal plans, ingredient combinations, and nutritional targets in databases before user interaction. When users specify health goals, the system retrieves and adjusts pre-prepared plans rather than generating recommendations from scratch, significantly reducing real-time computational energy requirements.
Solution Approach 2:
The system adjusts meal plan parameters (portion sizes, ingredient quantities, meal frequency) based on user-specific health goals, laboratory test results, and dietary restrictions. By modifying parameters of existing plans rather than redesigning entire meal structures, the system achieves personalization with minimal computational overhead.
4Reliability
If users are provided with detailed nutritional analysis and meal recommendations, then health outcomes improve, but user interaction time increases
Solution Approach 1:
The system provides continuous feedback to users through automated notifications, progress tracking, and real-time updates on nutritional intake versus targets. This feedback loop allows users to make informed dietary decisions without requiring extensive consultation time, as the system proactively guides them toward achieving health goals through structured recommendations and monitoring.
Data Source
AI summary
The invention provides a system and method for the Interactive input of information and generation of data that may provide for provision of meal plans and an optimizer score to optimize human health goals through nutrient consumption to enhance body functions, health goals and disease prevention. A computer system may be provided to communicate using a communication network that may provide software configured to develop a user profile based upon user information entered by the user including in connection with health goals, health information and meal, raw food and ingredients that may be developed by the software based upon user information and searching of the data bases of the present invention.