AUTOMATED AND SMARTEXAM MONITORING SYSTEM USING MACHINE LEARNING

Exams are a significant part of our educational system’s assessment and evaluation of student understanding. However, after the release of COVID-19, remote learning has flourished. We are presenting a means of conducting exams online with remote proctoring by utilizing Face detection technology in an effort to make them considerably smoother and more valuable. Eyeball tracking, mouth opening detection utilizing the distance between lips, device detection to discover any instances of the device, instance segmentation to count the number of people, and head posture estimation to determine the direction of the person’s gaze are all used in this. These features can be used to forecast the likelihood that someone will cheat or engage in improper behavior in a webcam-proctored situation. To keep track of everything, the entire action of the individual in front of the camera is documented in a file structure