About Us

Here is what every member contributed to the team

Marketing built two pages and made them mobile friendly with use of mixins and variables where possible

Front end made, Log in/Registration flow, User can save favorite songs to back end ,User will get suggestions from Ds API, User can request songs based on parameters, CRUD

Back end made, Build and deploy a Web API following the REST architectural pattern with code that is clean and organized using the Express Framework, Uses authentication service that prevents access to endpoints that should not be public, Has automated unit tests for core business logic

Machine Learning engineers used sci-kit earn and Keras frameowkrs to create a model to predict similar songs that a user would like.

Data Engineers built a Flask API that takes in a song input from the user, feeds into the model, and returns a list of 10 recommended songs.