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Face Liveness Detection System
Completed June 2025
Real-time face liveness detection using YOLOv8 and advanced computer vision techniques
Project Overview
Developed a comprehensive face liveness detection system using state-of-the-art YOLOv8 model and OpenCV. The system implements advanced anti-spoofing techniques to detect real faces versus photos, videos, or masks. Features include real-time processing, high accuracy detection, complete ML pipeline with model training, and robust security applications for authentication systems.