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exam-security

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An AI-powered proctoring tool for secure online exams. Uses YOLOv5 for object detection, MTCNN for face detection, YAMNet for audio detection, and PyQt5 for the UI. Enforces fullscreen mode, disables shortcuts, and provides real-time monitoring with violation tracking. Scalable and resource-efficient.

  • Updated Apr 3, 2025
  • Python

AI-powered online exam proctoring system that detects suspicious activities using computer vision. Tracks eye movements, face presence, multiple faces, and talking during exams with real-time alerts and dashboard.

  • Updated May 18, 2025
  • Python

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