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Increasing use of internet and improvements in the field of Information Technology has gradually increased the use of online meetings since last few years and more in a period of time when the whole world turned to work and study online due to COVID- 19,. It has made communication easier, effective and efficient by using some web conferencing software like ezTalks Cloud Meeting, Skype, zoom and Google meet etc. Online meetings have provided a number of advantages especially to the business world as now they can communicate with their colleagues and associates situated at remote locations without moving out of their comfort zone to discuss business strategies and issues face-to-face. But where there are some advantages of online meetings there are some disadvantages also. Including difficulty for the teacher or manger (host) to determine whether meeting participants are focused or not. Many papers had discussed this option and provided some ideas such as using facial expression, mobile logs, and eye expression with Gaze Tracking which we think is the best one so we tackled this problem by Gaze Tracking and the use of EYEDIAP dataset which was designed to train and evaluate gaze estimation algorithms from RGB and RGB-D data, In the end, we achieved at an accuracy of 93%.
