Google-PromptWars.mp4
ArenaSync AI is a web-based intelligent venue experience platform built for the Google PromptWars Challenge. It improves the physical event experience for attendees at stadiums, arenas, racing circuits, and concert venues by solving crowd movement, waiting times, and real-time coordination challenges.
- Frontend: https://arena-sync-client.vercel.app/
- Backend : https://arenasync-server-1.onrender.com
- Email : test123@gmail.com
- Password : test123
To use the access and go through the website, use the details I enter in the video.
Google-PromptWars.mp4
Large sporting venues often face:
- Long queues at entry gates
- Congested walkways
- Difficulty locating seats
- Overcrowded food stalls
- Poor restroom visibility
- Delayed alerts & announcements
- Slow exits after events
ArenaSync AI solves these problems using AI + real-time smart assistance.
Suggests the least crowded gate based on queue data and walking distance.
Visual crowd density map:
- 🟢 Low Crowd
- 🟡 Moderate
- 🔴 High Crowd
Ask questions like:
- Where is the nearest restroom?
- Best food stall near me?
- Fastest exit route?
- How do I reach Block C12?
Estimated wait times for:
- Food stalls
- Beverage counters
- Merchandise stores
- Restrooms
Guides users to their seat block.
Push alerts for:
- Gate closures
- Congestion
- Match reminders
- Safety instructions
For venue managers:
- Crowd monitoring
- Queue analytics
- Heatmap insights
- Incident reporting
Since access to real stadium infrastructure data is limited, the following assumptions were used for the MVP:
- Crowd heatmap uses simulated live crowd data
- Queue waiting times are dynamically mocked for demo purposes
- Venue maps are simplified zone-based layouts
- AI recommendations use available database + Gemini responses
- Notifications are manually triggered during testing
- System designed to scale for real integrations later
ArenaSync AI was designed using a user-first problem-solving approach for large sporting venues.
The system focuses on common attendee pain points such as long queues, navigation confusion, overcrowding, and limited on-site assistance.
- Analyze crowd levels across venue zones using simulated operational data
- Recommend least crowded gates and efficient walking routes
- Estimate queue waiting times dynamically for key service areas
- Use AI assistant for natural language venue support
- Provide alerts for congestion and safety guidance
- Improve attendee movement flow across the stadium
The platform combines structured stadium data, MongoDB data storage, and Google Gemini AI responses to deliver practical venue assistance. The system is designed to support live integrations in future deployments.
- React.js
- Tailwind CSS
- Vite
- Node.js
- Express.js
- MongoDB Atlas
- Google Gemini API
- Google OAuth
- Google Maps API
- Vercel (Frontend)
- Render (Backend)
User enters venue
↓
ArenaSync analyzes crowd + queue + location
↓
AI assistant gives best recommendations
↓
User moves faster, waits less, enjoys more
ArenaSync/
├── client/
├── server/
├── README.md
└── .gitignore
git clone https://github.com/yourusername/ArenaSync-AI.git
cd ArenaSync-AIcd client
npm install
npm run devcd server
npm install
nodemon server.jsCreate .env inside server:
PORT=5000
MONGO_URI=your_mongodb_uri
JWT_SECRET=your_secret
GEMINI_API_KEY=your_api_key
CLIENT_URL=http://localhost:5173- Queue reduction %
- Faster entry time
- AI assistant usage
- Navigation success rate
- User satisfaction
- AR seat navigation
- Face recognition ticketing
- Multi-language support
- Parking assistant
- Wearable integrations
Hemanth Mathivanan B.Tech Computer Science and Business Systems
Physical Event Experience
ArenaSync AI improves the physical event experience for attendees at large-scale sporting venues through AI-powered navigation, crowd intelligence, and queue optimization.
If you like this project, give it a ⭐ on GitHub!