Fitness4Me is an AI-powered personalized fitness trainer web application that integrates with smartwatches to provide customized workout routines, meal plans, and real-time health tracking. It aims to bridge the gap between traditional fitness apps and intelligent, adaptive health platforms by offering personalized recommendations based on user behavior and biorhythmic patterns.
With the rise of wearable tech and digital health solutions, users demand more from fitness platforms. Fitness4Me brings together real-time smartwatch data, AI-driven analysis, and an intuitive UI to serve as your virtual personal trainer and dietitian.
The application adapts daily plans based on your energy levels, sleep cycles, and step counts using biorhythm score algorithms and AI models trained for personalized health recommendations.
- β Smartwatch Integration (Google Fit, Apple HealthKit)
- π Biorhythm Score Analysis using sleep, heart rate, and step data
- π§ββοΈ Personalized Workout and Meal Plans
- πΈ Posture Detection via OpenCV + MediaPipe
- π Daily Progress Visualization
- π Reminders & Notifications
- π Secure local storage with SQLite3
Frontend
- HTML5
- Tailwind CSS
- JavaScript
Backend
- Flask (Python)
Database
- SQLite3
AI & ML
- OpenAI (GPT-based recommendation engine)
- LangChain, Vector DB for knowledge handling
- OpenCV & MediaPipe for real-time posture tracking
Visualization
- Matplotlib