Attentiveness Engine — Drowsiness Detection Autor: Krishna

Attentiveness Engine is a privacy-first browser companion for students and remote professionals that helps you stay awake and focused during study or work sessions.

Key Features:
• Real-Time Drowsiness Alerts: Detects prolonged eye-closure and micro-sleeps, triggering immediate audio alerts and notifications.
• 100% Private & On-Device: All computer vision inference runs locally on your machine via a local Python CNN engine. No webcam imagery, video frames, or audio are ever uploaded, recorded, or transmitted to any external server.
• Native Messaging Integration: Connects seamlessly to the local engine using Firefox WebExtension Native Messaging.
• Session Reports: Review focus statistics, PERCLOS metrics, and attention duration after each study session.

Companion Repository & Source:
https://github.com/Krishna-web-hub/CNN-Attentiveness-Engine