Authors: Ranjith Durgunala, Harshith Manchikkanti, Rahul Perugu, Sunadh Rithvik Ponnuru
Abstract: Therapid increase in sedentary lifestyles and unhealthy dietary habits has raised serious concerns regarding physical fitness and overall well-being. This project presents an AI Framework for Personalized Fitness & Diet Recommendation System designed to provide intelligent and customized health guidance. The system gathers essential user information including age, gender, height, weight, activity level, medical conditions, dietary preference, and fitness goals. Using this data, Body Mass Index (BMI) is calculated to assess the user’s health status. Machine learning algorithms analyze user profiles to generate personalized workout routines and diet plans tailored for fat loss, muscle gain, weight gain, or general fitness. A progress tracking module records daily weight, workout completion, and calorie intake to evaluate improvement. In addition, predictive models estimate expected fitness outcomes over 30, 60, and 90 days. The proposed framework enhances decision-making through data-driven insights, improves user engagement, and promotes sustainable lifestyle changes using artificial intelligence and machine learning techniques.
