ArenaMind 🏟️🧠
This is a submission for "Weekend Challenge: Passion Edition" (https://dev.to/challenges/weekend-2026-07-09).
What I Built
I'm excited to share ArenaMind, an AI-powered smart stadium platform that I built for the Google GenAI Hackathon.
The challenge was to reimagine how Generative AI could transform the experience of hosting one of the world's largest sporting events—the FIFA World Cup 2026.
Rather than building another chatbot, I wanted to create a platform that delivers meaningful, real-world value for both football fans and stadium operations teams. ArenaMind combines the reasoning capabilities of Google Gemini with deterministic backend workflows, ensuring reliable assistance even during high-footfall events where accuracy and responsiveness are critical.
Using Google Gemini Function Calling, the AI understands user intent and invokes backend services to provide personalized, context-aware responses.
👥 Features for Fans
- 🌍 Multilingual voice and chat assistant supporting English, Spanish, Portuguese, French, Hindi, and Arabic
- 🎟️ QR e-ticket awareness for personalized gate and seat navigation
- ♿ WCAG 2.1 AA accessible routing for wheelchair users and step-free navigation
- 🚻 Real-time food stall and restroom queue monitoring
🏟️ Features for Stadium Operations
- 📊 Interactive crowd congestion heatmaps
- 🔮 Predictive crowd overload forecasting with proactive mitigation alerts
- 💬 Natural-language Operations Assistant for venue staff
- 🚨 AI-powered incident triage with automatic P1–P4 severity classification
The passion behind ArenaMind was to demonstrate that AI can do much more than answer questions—it can improve accessibility, reduce congestion, enhance safety, and create a better live event experience for everyone.
Demo
Project Screenshots
Fan Experience
"Fan App Home page" (https://dev-to-uploads.s3.us-east-2.amazonaws.com/uploads/articles/j4rj2stb0ryssb66il59.png)
"Fan AI chat navigation" (https://dev-to-uploads.s3.us-east-2.amazonaws.com/uploads/articles/a7cl9cylmgt19k2tixsf.png)
"Fan AI Smart redirection card" (https://dev-to-uploads.s3.us-east-2.amazonaws.com/uploads/articles/cm0xascqxai9e2i8nwuw.png)
Operations Dashboard
"Organizer command center heatmap" (https://dev-to-uploads.s3.us-east-2.amazonaws.com/uploads/articles/y1u1twqpw2n07jv7ztvt.png)
"Organizer AI Ops Copilot" (https://dev-to-uploads.s3.us-east-2.amazonaws.com/uploads/articles/16b9rirbuznyzrmrxmdk.png)
(Add your deployed application or demo video here if available.)
Code
Tech Stack
- Google Gemini
- TypeScript
- React
- Node.js
- PostgreSQL
- Docker
- SOLID Architecture
(Add your GitHub repository here if it is public.)
How I Built It
ArenaMind follows a modular architecture that combines AI reasoning with deterministic backend services.
Google Gemini serves as the intelligent orchestration layer using Function Calling. Instead of generating responses alone, Gemini invokes backend APIs responsible for navigation, crowd analytics, queue information, accessibility routing, and incident management. This approach ensures responses remain grounded in real operational data while maintaining reliability if AI services become unavailable.
The frontend was developed using React and TypeScript, while the backend leverages Node.js with PostgreSQL for structured operational data. Docker was used to containerize the application, making deployment consistent across environments.
One of the most rewarding aspects of the project was designing a system where AI enhances decision-making without becoming a single point of failure. Critical workflows remain deterministic, while Gemini adds natural language understanding and intelligent orchestration on top.
Building ArenaMind reinforced my belief that the future of Generative AI lies not only in conversation but in empowering real-world systems that improve accessibility, navigation, crowd management, and operational efficiency.
Prize Categories
Best Use of Google AI
ArenaMind is built around Google Gemini Function Calling, using Gemini as the intelligent decision-making layer that coordinates real-time backend services to provide contextual, reliable assistance for both fans and stadium operators.
Thank you for reading!
A big thank you to Google for Developers and Hack2Skill for organizing such an inspiring hackathon.
If you were attending the FIFA World Cup 2026, which ArenaMind feature would you use first? I'd love to hear your thoughts and feedback!
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