I’ve been doing a bunch of work during my internship with Machine Learning models so I figured I take a crack at applying them to some of my personal projects. Just for fun I wanted to see what would happen if I tried to train a model on the registration, check-in and submission data for nwHacks. I decided to use Hector, a suite of algorithms completely written in Go since that’s what most of the nwHacks tooling is written in.
This uses webscraping and machine learning to automatically find past exams/practice materials and classify them by class, year and type.
As the webmaster and VP Communications for the Computer Science Student Society I spent a lot of time updating the site this past year. I designed a web app from the ground up to replace the old “database”. The old database was merely a bunch of Drupal pages with manually uploaded files. During my time as webmaster, I received exactly zero of these. Check out the new exam database! Reddit Post