Personalized Diet Recommendation System Using Machine Learning

"Personalized Diet Recommendation System", using machine learning, focuses primarily on individual nutritional advice and overall well-being. This project involves building a machine learning model for personalized health and nutrition recommendations based on various input parameters. The model takes into account factors such as age, gender, daily meals, exercise intensity and weight goals. It then assesses the health of the user, determining whether he is in good shape or may be struggling with obesity. After the analysis, the system will generate its own diet plans for breakfast, lunch and dinner. These plans include detailed nutritional information for each meal, including preparation instructions. The user is encouraged to select preferred foods from various sections for each meal. The system estimates the total nutritional intake and displays it in a pie chart for a comprehensive overview of the person. In our project, the output is designed based on physical characteristics , user preferences and body mass index (BMI).