Live project proof
EVERA Music Experience
AI-Generated Music Across 20+ Genres. An autonomous music creation engine that generates professional-quality tracks across 20+ genres. 7 curated radio stations, 9.9/10 quality rating.
Problem
Generative music is easy to create once, but hard to package as a repeatable listening system with quality control and discovery.
Architecture
- AI music generation pipeline produces tracks across genre categories.
- Quality scoring, metadata, and station logic turn raw outputs into an entertainment surface.
- React and Web Audio provide the listener-facing experience.
Evidence
- Live app: https://evera-music-landing.netlify.app/
- Live hosted music experience with curated stations.
- 20+ genre range and quality scoring signal a repeatable generation pipeline.
- Shows AI output curation, media product design, and entertainment packaging.
Tradeoffs
- The product value comes from curation and experience design, not raw generation alone.
- Quality scoring must be tuned around listener expectations, not model novelty.
Outcome
A deployed AI music system that demonstrates generative media operations and productization.
Stack
- ACE-Step
- Python
- SQLite
- React
- Web Audio API