In this exciting project, I've created a cutting-edge real-time face recognition and detection system. Here's how it works:

1. Training Images : I gathered a dataset of images featuring two football legends, Messi and Ronaldo, to train the model.

2. Resizing and Preprocessing : After meticulous preprocessing, the training images were resized and optimized for efficient processing.

3. Tester Python File : With a Python script, I put the model to the test by classifying random images as Messi or Ronaldo. The accuracy is impressive.

4. Videotesting : In this script, I took it a step further. The system now detects and classifies players in real-time video streams. It's remarkable to see this technology in action!

The applications of this project are vast – from enhancing security systems to crafting personalized user experiences. If you're interested in discussing the project or exploring potential collaborations, feel free to reach out. I'm eager to connect and share insights.

Project Link - https://github.com/NavneetRajSingh/Face-Recognition-and-Detection