Mood2Song
A music discovery platform that helps users find songs based on their mood, persona, or specific vibe.
The Challenge
Traditional music discovery platforms often rely on genre classifications or algorithmic recommendations based on listening history. However, these approaches don't always capture the emotional context in which people want to discover music. Most users struggle to find music that matches their current mood or specific vibe they're looking for.
The Solution
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.
Key Features
- 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 Implementation
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
