About this document
AI Attention Tracker for Online Learning by Hitarth Patil is a document available to read on EtoBox.
The project report details the development of an AI-powered Attention Tracker for online learning, which utilizes computer vision techniques to monitor user engagement through eye activity, gaze direction, and blink rates. The system leverages MediaPipe and OpenCV to capture real-time facial landmarks and compute an attention score that alerts users when their focus drops below a certain threshold. This innovative approach aims to enhance productivity and learning experiences by providing immediate feedback
- Author
- Hitarth Patil
- Language
- EN