Facial Recognition System

Biometric prototypes demand dependable detection pipelines and reproducible evaluation—not just demo screenshots.

The system combines Python, OpenCV preprocessing, and TensorFlow models to detect, embed, and classify faces with tooling suited for experimentation and accuracy tuning.

• End-to-end CV pipeline demonstrating classical vision plus learned representations.
• Research-grade codebase published on GitHub for reproducibility discussions.