autoDJ

AutoDJ is an AI DJ built around a simple idea: I want to dance at my own party, not spend the whole night behind the decks. It uses Meta Muse Spark to understand music, select and sequence tracks, and plan DJ transitions with techniques such as tempo adjustment, crossfades, and bass swaps. Local DSP analyzes rhythm and audio features, while a controller executes the validated plans in Mixxx. A dashboard makes the AI’s decisions and playback status visible, and human takeover remains available throughout the performance. Muse Spark also analyzes camera clips for audience movement. In this prototype, predefined gestures provide explicit requests—for example, holding up one finger requests a different upcoming song order. The planner preserves prepared transitions and adjusts later songs at a safe handoff point. Built during the hackathon, the project combines music analysis, Meta-powered planning and vision, a live dashboard, and Mixxx control integration. The demo shows autonomous transitions and gesture-driven queue replanning. The longer-term goal is an AI DJ that adapts to the dance floor while keeping people in control.