This web app uses an AI model trained with TensorFlow.js to guess if a (fake) person would be "focused" or "distracted" based on simulated brain waves (alpha/beta/gamma) generated every second.

A smart mmWave radar monitor that helps you stay focused and take regular breaks. Built with an ESP32, HLK-LD2410B sensor, and a WS2812 LED ring.

A macOS menu bar tool for investigating which apps are stealing your focus. Runs privately — no data leaves your machine.

Intercepts all JS-based tab-switch detection before the page loads — Page Visibility API, blur/focus events, hasFocus(), and more.

Focus Detection System

AI-powered Android app for real-time student focus monitoring

Real-time AI focus detector using MediaPipe face mesh, OpenCV & Random Forest. Detects focused vs distracted state via eye analysis at ~30ms inference. Includes live webcam mode, photo analysis, session reports & history. 89.8% accuracy. 100% local — privacy first.