This project was developed in Python using a ready-made model to recognize pre-recorded faces and display the recorded information about those faces. The user interface was created with the Tkinter library. This allows for easy management of the face recognition process and quick access to information about recognized faces.

This project was developed in Python using a ready-made model to recognize pre-recorded faces and display the recorded information about those faces. The user interface was created with the Tkinter library. This allows for easy management of the face recognition process and quick access to information about recognized faces.
A desktop face recognition application using OpenCV and Haar Cascade for detection. Features a user-friendly Tkinter GUI for training new faces and real-time recognition from webcam or image files.