The system uses a nutritional algorithmic framework and implements a three-level customization strategy:
- basic calculation: Calculate the user's total daily energy use (TDEE) based on the Harris-Benedict formula, with a 10-201 TP3T calorie deficit set for fat losers and a 5-151 TP3T surplus set for muscle builders.
- Macro Blending: Muscle-building users received a protein ration of 2.2 g/kg body weight, while fat-loss users increased their dietary fiber percentage to 30 g/day, and endurance-trainers appropriately increased their carbohydrates to 6 g/kg body weight.
- micro-adaptation: Intelligent substitution of recipes (e.g., replacing chicken with tofu) based on user input of dietary preferences (e.g., vegan/ketogenic) and allergens.
The program also includes a weekly dynamic adjustment mechanism to optimize the nutritional structure based on weight changes and training feedback.
This answer comes from the articleBULLTZ: Artificial Intelligence Personal Fitness AppsThe
May not be reproduced without permission:AI productivity tools " How does BULLTZ personalize diets for different fitness goals?
