Nutrient Diversity Optimization for User Nourishment Selection
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Solution Overview
Problem
Current methods fail to effectively adjust user nourishment selections to optimize nutrient diversity, which is crucial for maintaining a healthy human microbiome and overall health.
Innovation Solution
An apparatus and method utilizing a processor and memory to evaluate user-selected ingredients, calculate nutrient biodiversity scores, and optimize ingredient combinations based on these scores to enhance nutrient diversity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If current methods are used for nourishment selection, then user convenience is maintained, but nutrient diversity optimization is insufficient
Solution Approach 1:
The system pre-calculates and stores nutrient profiles for numerous ingredients in a database before user interaction. When a user makes a nourishment selection, the optimization algorithm quickly retrieves pre-processed nutrient data rather than calculating from scratch, enabling real-time diversity optimization without excessive computational complexity
Solution Approach 2:
The patent introduces an intermediary optimization algorithm that acts as a mediator between user food preferences and nutrient diversity goals. This algorithm processes user selections and automatically adjusts ingredient combinations to maximize nutrient diversity while respecting user constraints, resolving the contradiction between user convenience and nutrient optimization
2Reliability
If ingredient combinations are optimized for nutrient diversity, then microbiome health is improved, but calculation time increases
Solution Approach 1:
Nutrient profiles including biodiversity scores are pre-calculated and stored for all ingredients in the database. When optimizing a nourishment selection, the system retrieves these pre-computed values and combines them using an optimization algorithm, rather than calculating nutrient compositions from scratch for each user selection, significantly reducing calculation time while maintaining microbiome health optimization
Solution Approach 2:
The system focuses optimization efforts on the most impactful nutrients and ingredients rather than exhaustively analyzing every possible combination. By identifying and prioritizing key nutrient diversity drivers, the system achieves reliable microbiome health benefits with reduced computational time compared to exhaustive optimization approaches
Data Source
AI summary
An apparatus and method for adjusting a user nourishment selection based on nutrient diversity, the apparatus comprising at least a processor and a memory communicatively connected to the at least a processor, the memory containing instructions configuring the at least a processor to receive a proposed user selection relating to nourishment, wherein the proposed user selection comprises a plurality of ingredients, evaluate each ingredient of the plurality of ingredients, wherein evaluating each ingredient includes extracting at least a nutrient from each ingredient of the plurality of ingredients and calculating a nutrient biodiversity score for the at least a nutrient, optimize the plurality of ingredients as a function of each nutrient biodiversity score, and adjust the plurality of ingredients as a function of the optimization of the plurality of ingredients.