The first thing we needed to do for the project was to get the music that we were going to rate. These initial songs will be used to create the AI that will eventually recommend the songs in the future. To make sure that we filled all possible musical interests, we went after the most popular songs from every genre according to the billboards. This would help us avoid a recency bias, since we are more familiar with recent songs.
We also did some work on the back and front end. Movement on the back end was a little bit slower since we really need the data to find out which machine learning technique would work best. On the front end we got the initial set up for the site.
Some quirks still persist. We need to get data on the songs and as many people as possible to rate them. Also, making it user specific on the front end has given us a little bit of trouble. Things are looking good early on though. Once we start getting the data for the machine learning, progress should pick up.
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