Personalized Meal Planning for Fitness Goals Using Linear Programming and Machine Learning
DOI:
https://doi.org/10.53555/jaes.v22i1.129Keywords:
machine learning, optimization, simplex method, balanced diet.Abstract
Now a days young ones are more health conscious and hence they prefer to go to gym for body workouts to achieve their fitness goals. In order to achieve these goals, they need a balanced diet which consist of macro nutrients, micronutrient, and caloric intake. The proposed research uses Simplex Method which is a linear programming optimization technique along with machine learning model to create enhanced model which is scalable and customized dietary framework for gym-freaks. The proposed model works with Simplex Method which helps in optimizing meal plans under constraints like caloric needs, cost, and dietary preferences and machine learning model will help in predicting user-specific requirements based on various factors like BMI, activity levels, and fitness goals.
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