Dev Tools · 2h ago
Building a Self-Learning Music DJ from Your YouTube History
A developer documents a 3-5 month project to build an AI system that analyzes YouTube watch behavior to create personalized playlists. The system uses a browser extension to track listening patterns, a backend to store raw data, and ML models to classify songs and infer mood. The goal is a self-learning music brain trained on a single user's habits.
Meridian48 take
This is a deep-dive technical guide for building a personalized recommendation engine, but its real value is in the architectural decisions—like preserving raw signals for recomputability—that apply broadly to ML pipelines.
Read the full reporting
The Auto-DJ Case Files: Building a Self-Learning Music Brain From Your YouTube Habit →
DEV Community
ai-musicyoutube-analysis