This is an application to reccomend content to Twitter users. The file app.py can be run on a server and will respond to requests made to it (see what my reccomendations are for you!). The file engine.py is a simpler command-line version of the product, I don't prefer it but it is somewhat functional and allows you to provide feedback.

Future development on this project will include moving the K-means computation out of the main engine. If you run the app it now it can take up to 5 minutes to make reccomendations, rather than just querying an existing model and providing feedback. This is a poorly scaled way of doing things, and is next in line to get fixed.

Spyre is a huge part of this app. Follow the Github repo, this is a great app framework!

Until then, enjoy and make sure to follow me, @derekjanni, on Twitter!