Expert Monitoring System for Online Sessions Employing ResNet

Novel COVID19 virus, which was declared as a pandemic by WHO, gave rise to a new work and education culture. Work from Home, which was given to employees by employers for a handful of days in a year, that too after request by employee, was given for weeks at stretch. It was, and even is considered, the work from home culture cannot replace the in-office culture. The employee’s productivity levels were required to be at 100%, since the whole workforce was working from home, no employee could compensate for low performers. Since the virus spread, schools and colleges are shut for months. Study could not be at halt for this long time. So, schools and colleges came up with the concept of online classes. The online classes were a great idea to match footsteps with technology, but insincere students showed up by logging in, and leaving the device aside. Even if webcam were switched on, faculty cannot monitor 50 students. Work proposed aims to solve the problem stated. Login systems work like once in a session attendance taker. Work is not just attendance by facial recognition, like running the recognizer tool once before the session or at the start of session. It takes shots at quick intervals and verifies that the candidate is presence. Model proposed keeps a check whether the attendees are using electronic devices during the session, the direction they are looking at and are they talking with someone. The final aim is at getting an intuitive conclusion about attention of attendee in the session.