A smart and personalized music recommendation system powered by machine learning and content-based filtering. This AI-driven app suggests songs based on user preferences, enhancing the listening experience by analyzing track features like genre, tempo, mood, and more.
-
🎧 Personalized Recommendations based on audio features and similarity
-
🔍 Track Search using song name, artist, or genre
-
💡 Content-based recommendation logic using Spotify audio features
-
📊 Beautiful and intuitive Streamlit UI
-
📁 Clean codebase ready for deployment or extension
| Layer | Technologies Used |
|---|---|
| 🎨 Frontend | Streamlit |
| 🧠 Backend | Python, Pandas, NumPy |
| 🤖 ML Logic | Cosine similarity on Spotify audio features |
| 📊 Data | Spotify API / Custom Dataset (CSV format) |
| 🌐 Hosting | Localhost / Streamlit Cloud |