Namma Traffic AI

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A simulated video feed of a busy intersection in Bangalore.

Optimize Urban Mobility with Intelligent Traffic Control

Namma Traffic AI harnesses real-time data and intelligent algorithms for dynamic signal management, delivering measurable improvements in congestion and commuter experience.

A Sophisticated, Real-Time Solution

We leverage a network of sensors, cameras, and vehicle data to build a complete picture of the city's traffic.

Dynamic Signal Control

AI algorithms dynamically alter traffic signal timings based on live data to minimize wait times and bottlenecks.

Real-Time Monitoring

Integrates data from sensors, cameras, and connected vehicles to provide comprehensive traffic monitoring and analytics.

Route & Driver Suggestions

(Future) Offers user-facing route suggestions for drivers via mobile or in-dash integration to navigate around congestion.

Technology & Architecture

Built with a modern, powerful, and scalable technology stack.

Next.js & React

For a high-performance, server-rendered application suitable for city-scale dashboards.

Genkit AI

Powers the intelligent algorithms for real-time analysis, prediction, and signal optimization.

Modular Architecture

Designed for easy integration with existing city infrastructure and scalability to larger areas.