AI Study Focus Tracker
Computer Vision • Machine LearningOverview
An AI-powered monitoring tool that uses computer vision to track student focus during study or online learning sessions. This project addresses the critical issue of distractions by employing machine learning algorithms to detect behaviors like yawning, phone use, or looking away from the screen.
Key Features
Real-time Detection
OpenCV & Mediapipe for live behavior analysis
Weekly Reports
Actionable insights to improve learning habits
Privacy-First
Local processing ensures data stays secure
Smart Alerts
Instant feedback on attention lapses
Implementation Timeline
Phase 1
Detection module development
Phase 2
Distraction logic integration
Phase 3
Alerts, logging & reporting interface
Expected Outcome
A functional MVP (Minimum Viable Product) providing students with actionable insights to enhance their study effectiveness and reduce distractions during learning sessions.
Python
OpenCV
Mediapipe
TensorFlow