ABOUT THE PROJECT
Twitter Trends was created over a couple weeks as a project for our 5493 Computer Science Graduate Class. Our database was spun up via a Postgres Docker Container early April 2022 to begin aggregating data. It uses Twitter's API to see what's trending every thirty minutes, then collecting the most popular tweets using the Python library Twint. Running this as often as we do allows us to collect close to 20 megabytes per run (about 1 gigabytes per day). This eventually, is called by the user on our frontend website via the tables you see on the home page.