Jonathan Yeung
Designed and implemented a music recommendation system leveraging content-based recommendations and NLP to tackle the pain points of listeners and artists
Developed and launched a Streamlit application that delivers 10 recommendations from a database of ~50k music tracks with a customizable slide bar for users’ tastes