Inspiration
The basic concept of the project comes from a project we made earlier for live streaming privacy in another hackathon.
What it does
The extension detects and hence prevents cheating during exams with the help of machine learning.
How I built it
Under the problem statement of Online Cheat Detection & Prevention we have built a Google Chrome Extension that goes by the name "Beat The Cheat" with the help of a Machine Learning model that we trained using google teachable machines.
Challenges I ran into
The main challenge we went through was having to integrate it such that it works on the user's web browser without putting much load on the system. Though we tried several things but later on came to a conclusion that the calculation part has to be done on a server somehow instead of the user's system which may introduce some lag but I don't think that would matter.
What I learned
Thanks to our mentor Ayon Roy, he suggested creating a chrome extension rather than a web app which made me learn to create chrome extensions. Though it's not much difficult, if not for this project I don't know when I would have learned it.
What's next for Beat The Cheat
The current phase of the project not at all production friendly but once we find a way to run the machine learning part remotely.

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