Face Mask Detection 😷🔍

Overview 🌐

This project implements a real-time face mask detection system using deep learning techniques. It leverages TensorFlow's Keras API and OpenCV to classify and detect face masks in live video streams.

Features ✨

• 🤖 Convolutional Neural Network (CNN) for mask detection
• 📹 Real-time video stream analysis
• �顔 Face detection using Haar Cascades
• 🚦 Color-coded mask/no-mask indicators

Requirements 🛠

• Python 3.x
• TensorFlow
• OpenCV
• NumPy

Installation 💻

git clone https://github.com/yourusername/face-mask-detection.git
cd face-mask-detection
pip install -r requirements.txt

Usage 🚀

1. Train the model:

python train_model.py

2. Run real-time detection:

python detect_masks.py

Model Architecture 🧠

• Input Layer: 150x150x3 image
• 3 Convolutional Layers
• MaxPooling Layers
• Flatten Layer
• Dense Layers with ReLU and Sigmoid activations

Contributions 🤝

Contributions, issues, and feature requests are welcome!

License 📄

MIT License