The problem Audience Attention Analysis – Smart Video Conferen solves

The online meeting and lectures are not turning out to be as efficient as they were expected to be. It is quite common for participants to be involved in other activities without the host knowing about that.

Without a proper feedback system, the host has very little to draw conclusions
from the meetings about how it went.

The application we have developed is an extension to normal video conferencing apps which in addition to video conferencing also allows the host to see the statistics (after the meeting is over) of the meeting in the following format.
1.Individual statistics of participants
2.Collective statistics of whole class
The statistical data will have (but not limited to) following parameters :

1.Face detection of participant

2.Positive or negative face reaction state of participant

3.Drowsiness state of participant

Challenges we ran into

The major problem faced was to handle so much of data that we would be getting in the form of videos and we did not have resources to put that data and use from there.
Luckily, we have found one API vidyoweb which we had used for video conferencing and we could focus more on the important part of analysing it,