Course Outliner

Inspiration

Digging through multiple semesters worth of content to make sure you won't miss that one extra credit question on the final takes exponentially as much time as learning the basic coursework, but the knowledge result is worth it. The fundamental question that inspired Course Outliner was thus born: Is there a way to apply this mentality to this time-consuming process to optimize outcomes?

What it does

Taking a series of PowerPoints, PDFs, images, videos, textbooks, homeworks, labs, and other document formats to create a map of concepts by reference count and likelihood of re-referencing across time, Course Outliner provides a top-down overview of an entire course by cross-referencing documents.

How I built it

Python

Challenges I ran into

Dealing with multiple filetypes, applying weights to reference check iteration convolutions

Accomplishments that I'm proud of

Staying awake

What I learned

Google Cloud implementation

What's next for Course Outliner

More builds!

Built With

• google-cloud