Developed EyeQ, an AI-powered mobile app using Python and React Native. Integrates eye-tracking technology to analyze quiz difficulty in real-time, tested with
A cross-platform mobile application that uses eye-tracking technology to assess quiz difficulty in real-time. Successfully tested with 20+ students at Bahria University, delivering measurable improvements in student comprehension through adaptive assessment.
Key Features:
- Real-time eye movement tracking and analysis
- Cross-platform mobile interface
- Automated difficulty assessment
- Student performance analytics
- Cloud-based data management
Technical Implementation:
- Frontend: React Native for cross-platform compatibility
- Backend: Python for data processing
- ML Models: TensorFlow/PyTorch for eye movement analysis
- Database: Firebase for real-time data management
- Analytics: Custom metrics for difficulty assessment