AI Based Smart Supervision System

Abstract: The integrity and fairness of examinations are continually compromised by deceptive practices such as whispering, head movements, and unauthorized hand contacts. These unethical activities pose a serious threat to the credibility of examinations, necessitating the development of a robust model for real-time supervision and control. This research aims to introduce an innovative model designed to detect and prevent such unethical behaviour during examinations, there by upholding the principles of fairness and impartiality. The suggested monitoring system can be used in colleges, universities, and schools to identify and observe students engaging in suspicious activities. By implementing this monitoring system, we aim to stop and address cheating issues since it goes against ethical standards. The proposed invigilation model can be implemented in colleges, universities, and schools to detect and monitor student suspicious activities.

Hopefully, through the implementation of the proposed invigilation system, we can prevent and solve the problem of cheating because it is unethical. Each exam room needs a head invigilator to make sure the exams are honest and address any issues that may arise. That’s why   we implement the AI Base Smart Supervision System.

Attendance management system, Facial recognition, Machine learning, Artificial Intelligence, Attendance tracking

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