AarambhDevHub/exam-cheating-detection
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.
This system helps educators, proctors, and institutions monitor online exams for suspicious activity using webcam footage. It takes real-time video and audio from an examinee's environment and their screen activity to detect behaviors like looking away, talking, or having prohibited objects, providing alerts and detailed activity reports. The primary users are those responsible for ensuring academic integrity in remote testing.
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Use this if you need an automated way to proctor online exams, flag suspicious student behavior in real-time, and generate comprehensive reports for review.
Not ideal if you require a simple, human-only proctoring solution or if students are unable to provide webcam, microphone, and screen-sharing access.
Stars
23
Forks
9
Language
Python
License
MIT
Category
Last pushed
May 18, 2025
Commits (30d)
0
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