Artificial Intelligence based Student Absenteeism Detector

Abstract

Abstract: The whole procedure of marking attendance in a classroom full of students can be a burdensome as well as timeconsuming task at times. Presence of students in a substantial amount during the lecture increases the chances of botching the attendance. Moreover, after the pandemic hit of covid-19, all the safety measures and concerns will prove previously existing conventional methods of attendance marking to be very inefficient and unmethodical. On these grounds, marking of attendance with standard approaches has been a region of dispute. Demand of effective and automated methods to produce a8n attendance management system has been expanding recently. Recently, the trouble of automated attendance marking has been a wide concern using basic biometric info like fingerprint and RFID Tags (Radio Frequency Identification) etc. Conventional attendance checking methods for example pen and paper or attendance sheet signing are not difficult to sidestep and deceive as giving proxies or fake signature is a typical and common practice among students these days, students pull an unfair advantage mostly due to this. However, in any case, a facial recognition framework is unassailable and cannot be tricked as every individual has a set of exclusive and individual features restricted to that individual only and cannot be simulated or altered, everything boils down to one basic rule that is, except if you are actually present in the lecture your participation won't get acknowledged.