Face Mask Detection Using Machine Learning

📌 Project Overview

This project implements a real-time face mask detection system using OpenCV, TensorFlow, Keras, and MobileNetV2. It is designed to help detect whether an individual is wearing a face mask in public settings, contributing to health and safety compliance.

🚀 Features

• Real-time face mask detection via webcam
• Deep learning model trained on an augmented dataset
• High accuracy (98%) with MobileNetV2
• Compatible with various colored masks and different face orientations
• Uses OpenCV for image processing and TensorFlow/Keras for deep learning

🛠️ Technologies Used

• Python
• OpenCV
• TensorFlow & Keras
• MobileNetV2 (for transfer learning)
• Jupyter Notebook (for training)