What is Mood2Song?
Mood2Song is a music discovery experience that helps you find songs by emotion, persona, and vibe - pairing an intuitive UX with rich filtering and streaming integrations for instant listening.
Core User Features
Mood2Song provides an intuitive interface for discovering music based on emotional states, personas, and specific contexts. Users can select from a variety of moods, create or choose persona profiles, and apply advanced filters to find the perfect soundtrack for any moment. The platform integrates with streaming services to provide immediate playback and saving options.
- Mood Selection with options like Melancholic, Energetic, Relaxed, and more
- Persona Profiles that represent different music personality types
- Advanced filtering by genre, era, discovery level, and language
- Natural language input for describing specific vibes or contexts
- Integration with popular streaming platforms for seamless listening
Technical Architecture
Mood2Song leverages several technologies to create a seamless music discovery experience:
- React and Next.js for a responsive, interactive frontend
- Node.js backend for API integration and data processing
- Spotify API for accessing a vast library of music and metadata
- Natural language processing to analyze user inputs and match with music
- TailwindCSS for responsive design and consistent UI components
AI-Powered Features
Mood2Song uses AI to understand the user's mood and context and suggest music that matches it.
- • Parses natural language prompts to infer mood and context
- • Maps emotions to musical attributes (energy, valence, tempo)
- • Generates curated seed sets for discovery
- • Suggests adjacent moods and personas to broaden taste
- • Reranks results with feedback signals
- • Personalizes over time (opt-in)