Hello, I started this project as part of a Hackathon (BuilderHacks S2) and would like sharing it with you.

πChat

The project

The basic idea is developing chatrooms that allow friends to study together by submitting questions with a ML model in the backend verifying the answers. The latter is important because oftenly, answers are checked like this:

NLP and other technologies like CAS are used to smartly grade submissions like so:

Grading questions

Hence, several techniques are used to verify answers:

• Text strict: As you might expect, verifies that expected answer and submission match exactly.
• Text medium: Transforms to lowercase and strips away punctuation (and parentheses, apostrophes, etc) to verify that expected answer and submission match loosely.

• Text similarity: Uses NLP (Though spacy) to verify that the similarity score for answer and submission is above 0.8

• Scalar: Uses quantulum3 to identify scalars with unit and number and verify the answer matches submission (e.g., 10 cm = 10.0 centimeters)

• Math: Uses CAS to make sure mathematical expressions match. (e.g., "(x*x)/2" == "0.5*x^2")

Other features

Additionally other features include KaTeX support, a drawing canvas and chatroom generation.

In the future

I developed the project in under two days as part of the hackathon but I intend to take it even further in the future, solving many bugs (and there are many) as well as integrating new features. I am open to feedback as well as working together with other people to make it happen.

Technologies used

• Frontend: React
• Frontend (real time communication): hop.io
• Backend: Python

Please let me know if you have any feedback and if you'd be interested in participating.

Devpost submission with more info: https://devpost.com/software/chat-edgwsa?ref_content=my-projects-tab&ref_feature=my_projects