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I Built a Real-Time Crowd Orchestration Engine for Stadium Events (PromptWar 2026)
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🇺🇸 United StatesApril 19, 2026

I Built a Real-Time Crowd Orchestration Engine for Stadium Events (PromptWar 2026)

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Originally published byDev.to

The Problem: When 50,000 Fans Hit the Gates at Once

Stadium bottlenecks aren't just annoying—they're dangerous. Static gate assignments fail when crowd dynamics shift. For PromptWar 2026, I wanted to solve this with code that actually thinks.

The Build: PromptWar Crowd Orchestration

Instead of rigid assignments, I built a 4-tier Human-Sensor Network that treats crowd management as a living system:

Tier Role
Host Strategic oversight & emergency override
Volunteer Ground-level sensors & mission execution
Attendee Passive data source (location, velocity)
Service Provider Resource allocation & logistics

Technical Architecture

ElasticEntry Algorithm
The core routing engine calculates real-time "Friction Scores" for every entry point based on:

  • Surge density (people/minute)
  • Fan transit velocity
  • Historical congestion patterns

Stack

  • Backend: FastAPI + WebSockets for sub-second perimeter updates
  • AI Layer: Gemini for predictive bottleneck detection (identifies trouble 10-15 min before it happens)
  • Infra: Google Cloud Run—scales to zero, bursts to thousands

Live Demo

🔗 Try it on mobile

📂 GitHub repo

What I Learned

Combining real-time WebSocket state management with Gemini's predictive calls taught me where AI adds value vs. where deterministic logic wins. The sweet spot: AI for forecasting, traditional algorithms for immediate routing decisions.




Built for #PromptWar2026 with #GoogleCloud. Feedback welcome—how would you handle the load balancing differently?

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