Movie Recommender Engine

Utilises a collaborative filtering algorithm written completely in numpy. Client side is written in Javascript with React and Emotion. Server is written in Flask and everything is served by gunicorn and hosted on Heroku.

It's currently based on a dataset of 1665 movies x 943 users, future plans include adding multi-tenancy and unlimited movies through the TMDB api and shift to Digital Ocean with Nginx.