ATOS fit

ATOS fit is a real-time fitness tracking web application that uses TensorFlow.js and pose detection to monitor exercise form, count repetitions, and provide feedback all through your webcam. The application is designed to help users improve their workout routines by offering real-time corrections and guidance.

Benefits

ATOS fit offers several key advantages for users looking to enhance their fitness routines:*Real-Time Feedback: Get instant corrections and guidance to ensure proper exercise form, reducing the risk of injury and improving workout effectiveness.*Exercise Recognition: The app intelligently detects your movements, making it easier to track your progress and stay motivated.*Repetition Counting: Accurately counts your reps using angle thresholds and state machine logic, so you can focus on your workout without worrying about manual counting.*Exercise Library: Supports multiple common exercises, including forward lunges, squats, bicep curls, push-ups, and pull-ups.*Assistant Chatbot: A built-in chatbot guides users, answers questions, and suggests form improvements, providing a personalized workout experience.*Food Detector: Use your webcam to identify meals and get nutritional insights, helping you maintain a balanced diet.*Bar Code Scanner: Instantly detect product barcodes to fetch calorie and nutrition data, making it easier to track your food intake.*Privacy First: All pose estimation runs entirely in-browser, ensuring that no video or data is uploaded, respecting your privacy by design.

Use Cases

ATOS fit is ideal for a variety of users, including fitness enthusiasts, personal trainers, and anyone looking to improve their workout routines. It can be used in various settings, such as home workouts, gym sessions, and even virtual fitness classes. The app's real-time feedback and exercise recognition make it a valuable tool for anyone looking to enhance their fitness journey.

Getting Started

To get started with ATOS fit, follow these simple steps:1.Clone the repo: Use the commandgit clone cd Fitness-Tracker-web-v1to clone the repository.2.Install dependencies: Runnpm installto install the necessary dependencies.3.Start the dev server: Use the commandnpm run devto start the development server.4.Open the app: Go tohttp://localhost:3000in your browser.5.Allow camera access: When prompted, allow access to your webcam to enable pose detection.6.Start exercising!: Choose your exercise, get in position, and the tracker will do the rest!

Inspiration

ATOS fit was inspired by the Python-based AI Fitness Tracker, adapted for the modern web using JavaScript and TensorFlow.js. This adaptation brings the benefits of AI-powered fitness tracking to a wider audience, making it accessible and user-friendly.