Mask Detector

During the COVID-19 pandemic, I built an AI-powered mask detection system that identifies whether a person is wearing a face mask in real time — and automatically sprays sanitizer at them if they aren't. This project combined computer vision, machine learning, and embedded hardware to encourage hygiene in public settings like offices or classrooms. Key Features: - Deep Learning Model: Trained a MobileNetV2 CNN using Keras to classify “Mask” vs. “No Mask” with over 90% accuracy - Real-time Detection: Deployed with OpenCV to capture and process live video frames - Arduino Integration: Used serial communication between Python and Arduino to control a relay-triggered DC motor that activates a sanitizer spray - Automation Loop: The system detects, classifies, and triggers physical response in under one second - Custom Wooden Chassis: Designed and hand-built a sturdy wooden enclosure to mount the webcam, Arduino, and sanitizer components — ensuring stability and a clean aesthetic presentation