TrackFit
TrackFit is a comprehensive AI-powered fitness tracking system that combines smartwatch sensor data, machine learning models, and personalized analytics to help users monitor workouts, track progress, and improve exercise form in real-time.
https://github.com/KimmiKumari07/TrackFit?ref=producthunt
Product Information
Updated:Sep 19, 2025
What is TrackFit
TrackFit is an innovative fitness tracking solution that brings together cutting-edge technology and personalized fitness monitoring. It consists of both hardware components (smart scales, wearables) and software applications that work seamlessly to help users track their fitness journey. The platform leverages artificial intelligence and machine learning to provide detailed insights into various health metrics including weight, BMI, muscle mass, body fat, exercise form, and workout performance. Whether used through its mobile app, web interface, or integrated with smart devices, TrackFit serves as a complete ecosystem for fitness enthusiasts looking to optimize their health and workout routines.
Key Features of TrackFit
TrackFit is a comprehensive fitness tracking system that combines AI-powered motion tracking, real-time exercise analysis, and personalized workout planning. It uses smartwatch sensor data to monitor various health metrics including weight, BMI, muscle mass, and body composition, while providing detailed exercise form evaluation and calorie burn predictions through machine learning models.
AI-Powered Exercise Analysis: Uses machine learning to classify exercises, count repetitions, and evaluate form for exercises like squats and deadlifts in real-time
Comprehensive Health Metrics: Tracks multiple physical indicators including weight, BMI, muscle mass, water content, protein levels, and visceral fat through Bluetooth-enabled scales
Personalized Workout Planning: Generates customized workout plans based on user data and fitness goals while monitoring training load
Progress Tracking & Analytics: Provides detailed visualization of historical workout data and allows downloading past predictions as CSV for analysis
Use Cases of TrackFit
Personal Fitness Training: Helps individuals track their fitness journey and maintain proper form during workouts without constant trainer supervision
Remote Health Monitoring: Enables healthcare providers to remotely monitor patients' physical activity and health metrics
Athletic Performance Optimization: Assists athletes in optimizing their training routines by providing detailed performance metrics and form analysis
Community Fitness Engagement: Creates workout communities among friends or people with similar fitness goals for motivation and support
Pros
Comprehensive health and fitness tracking in one platform
AI-powered real-time form correction and feedback
Integration with HealthKit and other fitness devices
Cons
Requires specific hardware (Bluetooth-enabled scale, smartwatch) for full functionality
Limited user ratings (2.16 out of 5 stars)
Some features may require constant internet connectivity
How to Use TrackFit
Install Required Dependencies: Run 'pip install -r requirements.txt' to install all necessary Python packages and dependencies
Launch Application: Run 'streamlit run app.py' to start the TrackFit web application
Enter Personal Details: Input your personal information including BMI (or calculate it from height/weight), age, gender, workout duration, heart rate, and body temperature
Get Prediction: Click 'Start Prediction' button to get estimated calories burned based on your inputs. The app automatically selects the best ML model (SVM, Logistic Regression, or Random Forest) for your parameters
View Results: See your predicted calories burned and any visualizations of feature importance if Random Forest model was used
Track Progress: Your prediction is automatically saved with a unique User ID. You can view your past predictions and track your fitness progress over time
Export Data: Download your historical prediction data as a CSV file for further analysis or record keeping
Analyze History: Use the historical data visualization features to analyze trends and patterns in your fitness journey over time
TrackFit FAQs
TrackFit is a Streamlit-based web application that predicts calories burned during exercise based on users' personal details using machine learning models. It helps users track their fitness journey over time.
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