Case Studies & Research
Pushing SoundSoar toward the finish line: I added five additional models (Logistic Regression, SVM, LDA, Extra Trees, KNN), built a cold-start search to predict songs without history, versioned all model artifacts, and tightened performance and explainability for the final presentation.
Case Studies & Research
A month of leveling up SoundSoar: I solidified Spotify-powered data pipelines, automated sync, ran feature-importance analysis, and improved the ML models for trend prediction. I also added auth groundwork and a curated “trending-up” playlist.
Case Studies & Research
A first look at SoundSoar, my capstone project that uses machine learning to predict trending songs. In this kickoff I set up the app on AWS Lightsail, outline the trending feature, and share what worked, what did not, and what is next.
