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Personalized Spotify Playlists with AI
Introduction
In an era where personalization defines user experience, curating a perfect playlist tailored to an individual's mood, preferences, and vibes is a growing expectation. This project leverages the power of Generative AI and Spotify’s vast music database to create intelligent, mood-driven playlists — seamlessly, quickly, and intuitively.
Problem Statement
Users often struggle to curate playlists that perfectly match their current mood or occasion. Manually browsing and assembling songs can be time-consuming, overwhelming, and repetitive. Existing solutions are often rigid, genre-specific, or require significant manual input.
Objectives
- Enable users to generate personalized playlists based on mood, vibe, genres, and specific artist preferences.
- Integrate real-time artist search and verification from Spotify's API.
- Ensure the playlist selection process is dynamic, balanced across multiple artists, and matches the described mood.
- Simplify the playlist creation workflow with an intuitive, user-friendly web interface.
Product/Project Analysis
- Frontend: Streamlit-based web app for dynamic interaction.
- Backend: Python integration with Spotify Web API and OpenAI's GPT for intelligent selection logic.
- Functionality Highlights:
- Live artist search and verification from Spotify.
- Smart playlist song picking via GenAI based on user-described notes (mood, vibe).
- Balanced selection across multiple chosen artists.
- Automatic playlist creation directly into user's Spotify account.
- Intelligent fallback to genre-based recommendations if artists are not provided.
Architecture
🎤 User Inputs
⬇️
🔎 Artist Search API (Spotify)
⬇️
🎶 Artist Selection
⬇️
📚 Song Fetching
(Albums, Tracks, Dates)
(Albums, Tracks, Dates)
⬇️
🤖 GenAI Filtering
(OpenAI ChatCompletion)
(OpenAI ChatCompletion)
⬇️
🆔 Track URI Extraction
⬇️
🎵 Playlist Creation on Spotify
Impact
- Personalization at Scale: Provides highly personalized playlists in seconds, without tedious manual song selection.
- Bridging AI and Music: Combines GenAI's text understanding with Spotify’s music intelligence.
- Artist-Centric Discovery: Allows multi-artist playlist balancing — perfect for fans wanting a mix, not just a single-artist playlist.
- Enhanced User Engagement: Encourages users to explore music beyond their traditional tastes, based on mood exploration.
Conclusion
This project stands at the exciting intersection of AI, music, and personalization. It dramatically simplifies playlist creation, making music discovery more fun, customized, and intelligent. With its scalable architecture and intelligent curation, it can be expanded into a full-scale music recommendation service in the future.