A full fitness ecosystem on React Native, chosen for cross-platform performance and native device integration. Node.js with Express handles the computationally heavy workout analysis and meal-planning algorithms, MongoDB stores varied user data, routines, and nutrition records, and a Flask service powers the recommendation engine with Python machine learning libraries.
The AI system reads biometrics, workout history, and nutritional preferences to generate personalised training and meal plans. Computer vision analyses form in real time during video workouts, using the device camera to assess execution and return corrective feedback. Stripe handles subscriptions and in-app purchases for premium features and coaching.
Wearable integration syncs heart rate, sleep, and activity into a single health picture. Social features cover community challenges, progress sharing, and virtual workout sessions. Analytics track not just fitness metrics but mood correlation, energy levels, and overall wellness trends.
AI personal training
workout plans that adapt to performance and recovery data
Real-time form analysis
computer vision feedback on exercise technique
Nutrition planning
personalised meal plans with macro tracking and grocery lists
Wearable sync
fitness tracker integration for continuous health monitoring
Fitness community
group challenges, progress sharing, and virtual workout partners