Case study / Build track
AI DJ Automixer
An intelligent audio engineering platform that analyzes, beatsyncs, and automixes tracks using advanced DJ transitions, powered by a custom Python backend with FFmpeg and Pydub.
Background / Architecture
What this system proves
01
Note
AI DJ Automixer automates the live mixing workflow end-to-end — analyzing audio tracks, aligning BPMs, and generating seamless transitions without manual input.
02
Note
Built on a FastAPI backend, the system pulls tracks directly from SoundCloud API streams and feeds them into a Python audio engine powered by Pydub and FFmpeg.
03
Note
The engine computes BPM alignment mathematically, writes dynamic crossfade transitions, and outputs a fully mixed continuous audio pipeline — no DJ required.