I'm Tristan Rice; Software Engineer and student at the University of British Columbia.
rice@fn.lc GitHub https://github.com/d4l3k Resume https://fn.lc/s/resume.pdf https://linkedin.com/in/d4l3k Keybase https://keybase.io/rice Calendar https://fn.lc/calendar/
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
This is the website, registration and check-in system for nwHacks 2017.
View the write-up of the 2017 tech stack.
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.
A couple of my friends got food poisoning eating at places in the village in the past month or so. I decided to do some digging and find out which places have the best food safety records. To my horror, pretty much every place has food safety violations on campus.
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.