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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)