ABSTRACT
COVID-19 is an infectious disease caused by the newly discovered coronavirus which first originated in Wuhan. This contagious disease spread rapidly, due to which large gathering places were shut down which included schools and colleges. This led to the concept of online education system. In this system, the teachers could teach the students who are at home through various online platforms. This project discusses the advancements in technology that can be done to predict student engagement in an e-learning platform. An automatic face recognition attendance recording system where the student's login time is recorded on an excel sheet has been implemented. Through the student's eye gazes, it can be estimated if the student is attentive, distracted, drowsy, etc. Additionally, student's participation in discussion forums, the number of times hand was raised, resources visited and announcement views to determine the level of engagement can be analysed. © 2022 IEEE.