Personalized Nutritional Recommendation System for Intermittent Fasting
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Solution Overview
Problem
Existing methods for providing nutritional recommendations during intermittent fasting (IF) diets do not adequately address individual nutrient needs, often leading to potential nutrient inadequacies due to the lack of personalized and context-specific guidance.
Innovation Solution
A computer-implemented system that generates personalized nutritional recommendations, including diets, menus, and recipes, tailored to individual needs and preferences before, during, and after IF diets, such as time-restricted feeding (TRF) or alternate day fasting (ADF) regimens.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If general nutritional recommendations are provided for intermittent fasting diets, then the simplicity and ease of operation is improved, but the precision and accuracy of individual nutrient needs are worsened
Solution Approach 1:
The system transitions from providing uniform general recommendations to delivering personalized nutritional guidance tailored to each user's specific characteristics. By collecting and analyzing individual data points (age, gender, weight, height, activity level, health conditions), the system generates customized nutrient recommendations that address local quality needs of each user rather than applying one-size-fits-all advice.
Solution Approach 2:
The system dynamically adjusts nutritional recommendations based on changing parameters and user characteristics. By modifying recommendation parameters according to individual user profiles and real-time data input, the system maintains both simplicity in presentation and precision in customization, resolving the contradiction between ease of operation and measurement precision.
2Measurement precision
If constant daily reporting and analysis of individual diet is performed, then the precision of nutritional analysis is improved, but the loss of time and effort required is worsened
Solution Approach 1:
The system enables users to self-report their dietary intake through convenient interfaces, automatically processing and analyzing their food entries without requiring professional intervention. Users input their meals, and the system autonomously calculates nutritional content, compares it against individual requirements, and generates personalized feedback, thereby maintaining precision while reducing the time burden through automated self-service processing.
Solution Approach 2:
The system implements continuous feedback loops where users receive immediate personalized feedback on their nutritional intake, guiding future dietary choices. This feedback mechanism maintains high precision in nutritional analysis while reducing the manual effort required, as the system automatically processes data and provides actionable insights without requiring extensive user analysis expertise.
3Ease of operation
If food item recommendations are provided in isolation, then the ease of operation is improved, but the adaptability to overall diet context and individual needs is worsened
Solution Approach 1:
The system merges individual food item recommendations with broader dietary context by integrating multiple data dimensions (age, gender, weight, height, activity level, health conditions) into a unified personalized recommendation framework. This combination allows the system to provide simple, actionable food suggestions while maintaining high adaptability to overall diet context and individual needs through holistic data synthesis.
Data Source
AI summary
Systems and methods provide individualized nutritional recommendations before, during and/or after an intermittent fasting (IF) diet. In several embodiments, the individualized nutritional recommendations are diets, menus and recipes for before, during and/or alter an intermittent fasting (IF) diet. In several embodiments, the nutritional recommendations are delivered by a computer-implemented system. In several embodiments, the individual is administered and/or consumes nutrients according to the nutritional recommendations, for example calcium, preferably one or more calcium salts, such as calcium acetate, calcium carbonate, calcium chloride, calcium citrate, calcium gluconate, calcium lactate or mixtures thereof; and/or a fiber supplement, preferably those containing one or more of wheat dextrin, methylcellulose, psyllium husk, polycarbophil, guar fiber, glucomannan or β-glucans.