Imagine a classroom of college students. Typically, they want to learn the course material comprehensively and in depth. However, they will sometimes miss a concept. Moreover, the busier students might have to miss a class.

What if there was a way to easily fill any holes in understanding?

What it does

This web-based social media service allows students to learn as a class, generating from student-sourced notes a map of the lesson's concepts.

How we built it

We used a real-time database (FIrebase) to capture each student's notes for a class. We then found the important keywords within those notes using IBM's Alchemy API and displayed them to the user via a clean-built website and a hacky algo output screen.

Challenges we ran into

As a team, we disagreed strongly about what CSS frameworks and content delivery systems to use, which prolonged our development time. But, we discovered and a node.js server wizard and that brought our team together.

Accomplishments that we're proud of

We're proud of the clean webpage solution that we discovered with and the powerful keyword analysis we accomplished with IBM's Alchemy API.

What we learned

We learned about clean CSS formatting with and about the powerful capabilities of GIMP.

What's next for CUNYSlackers (CUNY Discourse)

We hope to bring this application around to crowd-sourced data testing, with which we will hone our concept-finding algorithms.

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