• Goje Saipriya.
• Suryavanshi Aishwarya.

We are all aware that, due to the current health crisis, the majority of institutions and colleges have chosen for virtual education. The learning process of students was primarily influenced by this epidemic. As a result, the virtual system was recommended by the majority of educational facilities. Many educational institutions began using virtual tools such as Discord, Google Meet, Microsoft Teams, Skype, and Zoom to teach their students. As a result, the report's major focus is on the influence of student learning through video conferencing. Although the majority of the instructors were familiar with the tools, just roughly a quarter of them said their academic performance had improved. However, some teachers were having psychological challenges as a result of the new teaching methods. procedure. To assess the student's behavior, we are employing Artificial Intelligence and Machine Learning techniques in this project. Finally, both students and teachers think that virtual tools are quite beneficial in virtual courses.

OpenCV, Shape predictor model, Artificial Intelligence, 68 Facial landmarks data, Module description, Eye aspect ratio, Mouth aspect ratio, Head pose.

"STUDENT LIVE BEHAVIOR ANALYSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.b382-b387, June-2022, Available :http://www.jetir.org/papers/JETIR2206154.pdf

"STUDENT LIVE BEHAVIOR ANALYSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppb382-b387, June-2022, Available at : http://www.jetir.org/papers/JETIR2206154.pdf