Problem Statement:
As we all know, the current pandemic time hit our education system. Almost every college, school, or office in the world switches their working platform online (whether it is Google meet or zoom). Such that, Online learning environments have grown in popularity and application in educational settings. But according to various surveys, not all students pay that much attention as they pay during offline classes, right. So monitoring a student while they are in a video conferencing classroom is a necessary term for faculty to understand the students' behavior. Thus understanding such behavior may lead faculty to understand and consequently improving the dynamics of a lecture. According to the research, about 56% of students switch their online classroom in a back tab while surfing over youtube or Instagram. We are in a need of such an online platform which will measure the attentiveness of student in a statistical method.
Solution:
After understanding the problem statement, it is clear that we are in need of having an online platform that analyzes the attentiveness of the student during the lecture. We will try to solve this problem by making an online platform for measuring the attentiveness and behavior of the student. We will also try to provide detailed data in the form of a pie chart to both student and teacher, once the classroom end, so as to understand the students' behavior and consequently improving the dynamics of a lecture. We will try to embed our own video conferencing platform using WebRTC.
This is our first time working on dlib and Webrtc library. Firstly it feels a little bit difficult for us to understand it but with good resources and documentation available, we start with our work. Also in the starting, we came up with many errors. But thanks to StackOverflow, we solved that.
Discussion