FaceRecognition.

This is one of my first Python projects, built when I was starting out with the language and found the possibilities of cameras genuinely exciting: the idea that a program could look at a live feed and know who it was looking at, for security or just for personalized experiences, felt like something worth understanding from the inside.

The system has two scripts. record_face.py captures frames from the webcam and builds a labeled training set for a person. Main.py runs the recognition loop: it reads frames from the camera, detects faces with OpenCV cascades, encodes them and matches against the trained set, drawing bounding boxes and confidence scores on the live feed in real time.

The goal was not to wrap a cloud API but to understand the pipeline: what does detection actually do, how does encoding work, what makes a match confident or uncertain. Old code from early in the journey, but it represents the curiosity about computer vision that has stayed with me.