ABOUT

• User will be able to create accounts in order to listen music, as well as add to their library, and get recommended music that
• Ultimately, let our users search for music on a topic they identify with which also sounds similar to what they want to hear.
• It is a microservice architecture pattern where our main project is monolithic. Imports other projects as services, using dependency injection to supply all the class with their services.
• Utilizes Razor Pages, Entity Framework, and TensorFlow

ROLES

Yohan Ninan:

• Main back End developer
• Code Structure
• Integration and Delivery
• ML and AI Library

Vamsi Avinash Gunji:

• Architectural suggestion and project structure
• Testing Using abstraction methods
• Nunit Testing & Error Reporting
• Music Player Update and Errors
• Database management & Manual Testing

Brandon Ganesh:

• Front End Developer.
• Created and implemented UI design pages using HTML and CSS.
• Created Login page, user page, Home page, artist profile, song profile, Song page.

Sean King:

• Testing of Audio Analysis functions.
• Comparison of different vector values.
• Testing of the Natural Language Function for the Vector Space class.

Github Changes Most of the changes were unable to push from Github because of Sync Errors we had. Yohan had to update most of the project from His End!