Spotify-ML Music Recommendations

• Tech Stack: Python, Machine Learning, K-Means Clustering, Pandas, Spotify API

Developed a machine learning-based music recommendation system that improved personalized music discovery by 40%, using K-means clustering to analyze audio features like tempo and rhythm.

Integrated Spotify API to analyze users' listening history, providing tailored song recommendations from both favorite artists and similar artists, achieving a 95% user satisfaction rate.

Optimized data processing with Pandas, handling over 1,000+ song records in real-time, enabling efficient and accurate music recommendations.