PRIVACY-FOCUSED WELLBEING
A context-aware wellbeing monitoring system that prioritizes user privacy while providing personalized health insights. Built with end-to-end encryption and local processing to ensure data never leaves the device.
PROJECT OVERVIEW
This mobile application uses device sensors and machine learning to monitor user wellbeing patterns while maintaining complete privacy. All data processing happens locally on the device, ensuring sensitive health information never gets transmitted.
The app provides personalized recommendations for stress management, sleep improvement, and activity tracking without compromising user privacy.
PRIVACY FEATURES
- Zero Data Transmission: All processing done locally on device
- End-to-End Encryption: Local data encrypted with user-controlled keys
- No Cloud Storage: Data never leaves the device
- Context-Aware: Uses location and activity context without tracking
FEATURES
Stress Monitoring
Real-time stress level detection using heart rate and activity patterns
Sleep Analysis
Detailed sleep quality analysis with personalized improvement suggestions
Privacy Protection
Military-grade encryption and local-only data processing