😷 Face Mask Detection App (Tkinter Version)

A real-time face mask detection desktop application built with Python, TensorFlow, OpenCV, and Tkinter.
The app can detect whether a person is wearing a mask using your webcam or uploaded images, with a simple graphical interface.

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🚀 Features

• 🎥 Real-time face detection via webcam
• 🖼️ Option to test detection using image files
• 🧠 Deep learning model (CNN) trained on masked/unmasked face datasets
• 💻 Simple and interactive Tkinter GUI
• 🧩 Model built with TensorFlow/Keras for accurate classification

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🧠 Model Overview

The deep learning model is trained using a Convolutional Neural Network (CNN) that classifies faces as either:

• Mask 😷
• No Mask 🚫

The model can be further improved or retrained using your own dataset.

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🧩 Tech Stack

• Python 3.10+
• Tkinter (GUI)
• TensorFlow / Keras
• OpenCV
• NumPy
• Pillow
• Imutils
• Rich (for styled console output)

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⚙️ Installation & Setup

1. Clone the repository

   git clone https://github.com/salimdotpy/Face_mask_dection_app.git
   cd Face_mask_detection_app

2. Create and activate a virtual environment (recommended)

   python -m venv venv
   source venv/bin/activate   # On Windows: venv\Scripts\activate

3. Install dependencies

   pip install -r requirements.txt

4. Run the application

   python app.py

5. (Optional) Build a standalone executable To package your app into an .exe file:

   pyinstaller --onefile --noconsole app.py

🧩 Example Output Mode Output Webcam Detects and labels "Mask" or "No Mask" in real-time Image Displays prediction on uploaded photo

🤝 Contributing Contributions, suggestions, and improvements are welcome! Feel free to open an issue or submit a pull request.

👨‍💻 Author

Selim Adekola 📧 salimdotpy@gmail.com 📞 +2348076738293