This was inspired by online learning platforms and the ability to autocheck and grade assignments.
What it does
It compares uploaded images to their solutions and checks if they are on par with them
How we built it
We built the web dev side with React and Node and used python for machine learning purposes along with the Google Cloud Vision API.
Challenges we ran into
We ran into challenges for integrating multiple python scripts in a Node server because of the language switches. We initially ran into the problem of making a working Flask server and had to switch to Node later because of problems.
Accomplishments that we're proud of
We are proud of a working machine learning portion and web dev side, both work respectively on their own and do what we want it to do.
What we learned
We learned that when using machine learning probably best to work with the same language and also that utilizing machine learning in online education is really interesting and useful
What's next for EasyLearn
Implementing a Flask back-end to make it easier for machine learning integration.