InterestMonitor

Inspiration

We were inspired by the current struggles of remote learning caused by the pandemic and observed that a high rate of students were lackadaisical and distracted. This program aids the teacher in monitoring the students’ activeness within the online environment.

What it does

The Interest Monitor tracks the students' eyes to assess the attentiveness of students. If the scholar slacks for over 10 seconds, the teacher is alerted so that he or she can gently remind everyone to focus on the topic at hand. More information found here: https://sites.google.com/view/interest-monitor

How I built it

We streamed the Zoom window onto TKinter, strategically using OpenCV to track the eyes and conclude that the students are paying their fullest attention.

Challenges I ran into

We faced many challenges while putting this intricate program together. We struggled in restricting the code to detect our eyes only, and not the surrounding objects. By strategically using certain properties of a human’s face, we limited the program to only recognize the person’s true eyes, rather than the clutter of a scholar’s background.

Accomplishments that I'm proud of

After hours of arduous work, we have coded an effective tool to solve problems of remote learning. We are proud to present the Interest Monitor, the outcome of our teamwork and perseverance.

What I learned

Through the battle of putting together every little fragment of our project, our team gained the experience of working together to fit everyone’s talents, and pushing through the bumps in our code. We learned new ways to overcome complications with OpenCV and TKinter. This was an adventure fresh to all of us. It was phenomenal to experience this exploit together as a team.