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.
With nwHacks 2017 coming up this weekend I figured it would be a good time to do a writeup of the tech stack and all the different components that are used to make the hackathon a success. This covers all of the different components of the stack and what technologies were used.