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README.md

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+license: mit
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+Face Attendance Anti-Spoofing System
+- Developed a real-time face recognition system with integrated anti-spoofing measures for secure attendance tracking.
+- Utilized OpenCV, dlib, and MediaPipe to detect faces, analyze eye blinks, and assess liveness through texture analysis and gesture detection.
+- Implemented smartphone detection using YOLOv4 to ensure user focus during attendance capture.
+- Enhanced user authentication by incorporating facial landmarks, blink detection, and texture-based liveness checks to prevent spoofing.
+- Contributed to secure and reliable attendance management, particularly for educational and professional environments.