The "Music Recommender System using Spotify API" project aims to create a personalized music recommendation system for users based on their listening preferences and behavior. By leveraging the Spotify API, we can access a vast collection of music data, including tracks, artists, genres, and user playlists.
Key elements of the project:
- Generating Access Token
- Extracting Dataframe from API
- Weighted and Content Based Filtering
- Hybrid Recommender System
- Generating Recomendations
Overall, the "Music Recommender System using Spotify API" project aims to enhance the music discovery experience for users by suggesting relevant songs and artists based on their individual preferences.