MusicMate
MusicMate is a mobile application that provides students an opportunity to connect with individuals that share similar music tastes to them. Members are authenticated with university emails, and can view (depending on sharing preferences) potential matches’ Spotify Song of the Day, current/recent listens, and a calculated similarity score to their own profile.
Explore Our Project
Check out our official Git Repo to learn more about MusicMate:
Team Members
Full Stack Engineer: Anagha Kenikar
Full Stack Engineer: Cameron Kettler
Machine Learning Engineer: Jay Bhalala
Full Stack Engineer: Jeremy Chuah
Full Stack Engineer: Jin Jun Oh
Machine Learning Engineer: Julian Frank
Full Stack Engineer: Robert Tezock
Full Stack Engineer: Sanjay Sivakumar
Machine Learning Engineer: Sarah Wang-Zhou
Full Stack Engineer: Satvik Mahendra
Project Manager: Tanu Tripathi
Our Technology Stack
Python
Core language for data processing and ML algorithms.
AWS
Cloud infrastructure for scalability and deployment.
React.js
Framework for building the user interface.
Kaggle
Platform for data science competitions and datasets.
Google Colab
Cloud-based Jupyter notebook environment for Python.
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