Background:

Meet Tafadzwa "TaffyBeatz" Chikosha, a rising DJ in Harare’s nightlife scene. He prides himself on keeping the crowd energized, but there’s one problem—every event is different, and reading the room is an art, not a science. Some partygoers vibe to Afrobeats, others love Amapiano, while a few crave nostalgic 90s hits. When requests start pouring in, managing them disrupts his flow. TaffyBeatz needs a real-time, tech-driven solution to understand what the crowd wants, as the party unfolds.

The Challenge:

Design a low-cost, Raspberry Pi-based solution that can:

1. Sense & Analyze – Capture crowd energy levels using audio feedback (cheers, claps, movement) and optional mobile song suggestions.
2. Generate Real-time Insights – Use sentiment analysis or mood indicators to detect audience preferences (e.g., excitement levels rising/falling).
3. Adapt & Curate – Create dynamic set recommendations based on live crowd input, ensuring seamless transitions.
4. Simplify Requests – Offer a frictionless way for attendees to suggest songs without overwhelming the DJ.

Constraints:

• Use Raspberry Pi 4, Pico, and affordable sensors (e.g., microphones, accelerometers).
• Must work offline with minimal internet reliance.
• Keep the interface DJ-friendly and intuitive.

Bonus:

How might your solution provide visual feedback to the DJ on what’s working (heat maps, live dashboards)?

Let’s revolutionize DJing and make every party unforgettable! 

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