Student’s Attention and Alertness Monitoring System using AI

Online education has become a crucial part of the modern educational landscape. However, maintaining student engagement and attentiveness in virtual classrooms can be challenging. This paper proposes a system that uses computer vision, machine learning, and AI to detect and monitor students' attention levels during online classes. By analyzing webcam footage, the system will provide real-time feedback to instructors, helping them adapt their teaching methods and enhance the overall learning experience. In the context of online classes, this productivity monitoring can help teachers identify students who may be struggling with the course material or those who may need additional support.