Facial Recognition System

The Problem

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

The Solution

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

Technologies used

Key Outcomes

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