shreyaspj20/Reliable-proctoring-AI
In this project, we present ways to improve reliability of proctoring by generating plots of each parameter measured during the online evaluation.
This tool helps educators and exam administrators ensure fair online evaluations by detecting potential cheating in real-time. It takes a live video feed from a webcam and audio from a microphone during an online exam, analyzing student behavior like eye movements, head orientation, and speech. The output includes real-time warnings for suspicious activity and a detailed report with plots of measured parameters after the exam, allowing an invigilator to review and determine if cheating occurred.
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Use this if you need an automated system to monitor students during online exams for suspicious behavior and generate detailed reports for review.
Not ideal if you need a proctoring solution that doesn't require local installation or if you are concerned about commercial use restrictions due to some underlying models.
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Language
Python
License
MIT
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Last pushed
Jan 03, 2022
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