Twitter Twin

A website that analyzes your tweets using NLP and matches them with a similar celebrity Twitter user.

This repo hosts the front-end and back-end code for the Twitter Twin website, but not the code for the NLP training.

Developed by Ian Fisher, Conor Stuart Roe and Emily Lin for the 2018 Tri-Co Hackathon.

Packages and libraries

• Django: A Python web framework.
• Gunicorn: A Python WSGI HTTP server.
• Heroku: To host our website live.
• Pure: A CSS framework.
• jQuery: A library of JavaScript utilities.
• WhiteNoise: A library for serving static files with Django.
• favicon.ico

Helpful resources

These are some resources that we found helpful while developing this project.

• The Django documentation
• API reference for jQuery
• Configuring Django Apps for Heroku
• Deploying Python and Django Apps on Heroku

##Screenshots

All five celebrities successfully get flagged as themselves, with varying degrees of certainty.

Users can also input custom messages.

A variety of messages work.

The site is fully responsive, with pictures and fonts changing with browser width.