What is the solution about?
It is an end to end solution which will help us understand the engagement level of the students, the emotions of the students during the class and other factors which will help us in making the learning experience better!
What are the benefits of using this system?
What does the system do on the backend?
On the backend, abstracted from the user, the system is running complex machine learning and computer vision algorithms to continuously monitor the class, perform face recognition operations, capture emotions and store data for analysis.
What can we analyze using this system?
- Key metrics such as: Concentration Index, Concentration Index vs. Confusion Index of the class, the overall emotion of the class, Happiness Quotient, Emotion % and others!
- We can also analyze each student/participant individually. This will give an understanding of each student’s engagement in the class at an overall level or even at any particular point in time of the class.
- We can also use an array of other filters and interactions to analyze further and draw important insights.
Want to know more?
If you think this solution would be useful for your organization or you have a relevant use case or pain point you would like to tackle, get in touch with us today and we can help you and work together towards a solution!
