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An AI-assisted music exploration platform built around discovery, context and deeper connections between music and culture.
Overview
MELODYA explores a different approach to music discovery: instead of reducing discovery to a stream of recommendations, the user can interact with an AI system and explore the context surrounding the music.
Problem
Traditional music interfaces are excellent at playback and basic discovery, but they rarely help users understand why an artist, song, genre or historical period is connected to something they already know.
Concept
The core idea is to make conversation part of music discovery. Users can ask questions, explore an artist or period, and follow connections between music, theory and culture without leaving the product.
Architecture
The prototype separates the React interface, Node.js backend and AI layer so that the underlying model can be replaced without redesigning the product experience.
AI
A local LLM is used to experiment with a more private and controllable AI experience. The model acts as a conversational layer for questions, explanations and connections rather than replacing the music interface itself.
Implementation
React and Vite provide the interactive frontend, while Node.js coordinates the application logic and communication with the AI layer.
Result
MELODYA is a research-driven product prototype exploring how AI can enrich music discovery while keeping the user in control of the experience.
