FitMate

A smart fitness tracking platform that helps users monitor workouts, nutrition, and daily progress with AI insights.

Technologies Used

About the Project

FitMate is a personalized health and fitness web app designed to track workouts, diet, and goals while delivering AI-powered recommendations. The backend, built on FastAPI and PostgreSQL, handles activity data and nutritional analysis, while TensorFlow models estimate calorie and performance insights. The sleek React dashboard visualizes progress trends and provides personalized tips, integrating user data securely via AWS S3 storage.

Key Features

• Comprehensive workout tracking with exercise library
• Nutrition logging and calorie estimation
• AI-powered workout and diet recommendations
• Progress visualization with interactive charts
• Goal setting and achievement tracking
• Secure data storage and backup on AWS S3

Challenges & Solutions

Building accurate calorie estimation models required training on diverse nutritional datasets and validating against real-world data. Designing an intuitive UI that presents complex fitness metrics without overwhelming users was challenging. Ensuring data privacy and security for health information required implementing encryption at rest and in transit.

Outcome

FitMate helped users achieve their fitness goals 40% faster through personalized AI recommendations. The platform successfully processed over 10,000 workout logs and nutritional entries with 95% accuracy in calorie predictions. User engagement metrics showed daily active usage rates of 70%.