Face Recognition Project

This project aims to demonstrate face recognition using two different approaches:

1. Basic face recognition using scikit-learn.
2. Advanced face recognition using VGG-16.

Basic Face Recognition (scikit-learn)

The basic_face_recognition.py file contains a simple face recognition application using scikit-learn. It demonstrates the basic principles of face recognition using machine learning techniques.

Requirements

• Python 3.2^
• cv2 library

Advanced Face Recognition (VGG-16)

The advanced_face_recognition.py file contains a more sophisticated face recognition system using the VGG-16 convolutional neural network.

Requirements

• Python 3.11^
• TensorFlow
• Keras

Usage

1. Install the required dependencies using .
2. Download the pre-trained VGG-16 model.

Contributing

Contributions are welcome! If you find any issues or have suggestions for improvements, please feel free to open an issue or submit a pull request.

License

This project is licensed under the MIT License.

Acknowledgments

• Special thanks to scikit-learn for providing the machine learning library.
• Thanks to TensorFlow and Keras for the deep learning framework.
• The pre-trained VGG-16 model is obtained from Keras Applications.