Digital Rise

Artificial Intelligence-based online assessment monitoring software that scans for malpractice using Eye and face tracking and custom warning algorithm.

The problem Digital Rise solves

With the current pandemic situation all of us are now working and learning from home. From children at primary school attending online classes to professionals managing projects through online meetings. Due to the extended period of Lock-Down it as become necessary to conduct online assessment from home. It is easy to get distracted or attempt cheating or malpractice during such assessments. what solution we propose is a Multipurpose AI Model-Based Attentiveness Monitoring System that can be integrated or used alongside existing online platforms to ensure the participants concentration and fair participation.

Challenges we ran into

For the attentiveness AI-model we decided to use eye tracking, head movement tracking in two axis (left, right, up and down) and also mouth movement tacking, also in this solution it is possible to independently adjust the threshold for the 3 parameters seperately thus avoiding false results. Thus, it was a challenge to integrate all of the above models into a single manageable model. Both the implementation of AI based monitoring process and creating of python app are discussed below.