Machine Learning Based Nutrition and Diet Planning Web Application

This project introduces a web-based application that provides personalized nutrition and diet planning using machine learning. Developed with Python and Streamlit, the system ensures a user-friendly interface supported by secure authentication. Users create detailed health profiles that enable accurate BMI, BMR, and calorie requirement analysis. Machine learning models built with TensorFlow and scikit-learn generate customized meal plans tailored to goals such as weight loss or muscle gain. The system improves its recommendations over time by learning from user feedback and dietary habits. Additional features like weight tracking, yoga suggestions, and lifestyle tips enhance long-term wellness. A comprehensive nutrition guide educates users about macro and micronutrients. The food diary helps users monitor daily intake for better consistency. A curated directory of health professionals supports expert guidance when required. Overall, the project demonstrates how machine learning can deliver practical and personalized diet planning to diverse users.