NagarNetra AI

Inspiration

Modern cities generate massive amounts of traffic, environmental, and infrastructure data, yet city operators often rely on disconnected systems that slow decision-making during emergencies. We wanted to build a single intelligent platform where AI, Digital Twins, and real-time telemetry work together to help cities respond faster, operate smarter, and become more resilient.

What it does

NagarNetra AI is an AI-powered Smart City Command Center that provides a real-time Digital Twin of a city combined with predictive intelligence.

The platform includes:

Interactive 3D Digital Twin
AI Decision Engine
Crisis Simulation Engine
Real-time Telemetry Dashboard
Emergency Response Management
Smart Traffic Monitoring
AI Copilot with Explainable Recommendations
Predictive Analytics
Environmental & Infrastructure Monitoring
Command Center Dashboard

Operators can simulate emergencies, monitor city-wide infrastructure, visualize AI recommendations, and observe how the system automatically responds to changing conditions.

How we built it

The project was built using a modern full-stack architecture.

Frontend:

Next.js
TypeScript
React
Tailwind CSS
Framer Motion
React Three Fiber
Three.js
Zustand

Backend:

FastAPI
Python

The Digital Twin is procedurally generated and optimized for performance using instanced rendering techniques while the AI layer provides structured reasoning for operational decisions.

Challenges we ran into

One of the biggest challenges was synchronizing multiple systems—including the Digital Twin, AI Engine, telemetry streams, simulations, and dashboards—into a unified experience.

Designing smooth 3D interactions while maintaining performance, implementing realistic city simulations, and creating an intuitive enterprise-grade interface also required significant iteration.

Accomplishments that we're proud of

Built a fully interactive Smart City Digital Twin
Developed an AI-powered decision engine with explainable recommendations
Created a realistic crisis simulation system
Integrated real-time telemetry visualization
Designed an enterprise-style command center
Built a scalable and modular architecture suitable for future real-world integrations

What we learned

This project taught us how Digital Twins, AI reasoning, and real-time telemetry can work together to improve urban operations. We also gained valuable experience in 3D visualization, performance optimization, scalable architecture, and building enterprise-grade user interfaces.