AI for connectivity hackathon 

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We are Urban Navigators, leveraging AI, computer vision, and tech to solve urban traffic challenges.

Urban Navigators

ARADHANA_620

Anas786

Tiisha_13

Manthan15123

Shani Sinojiya

Urban Navigators is an innovative traffic management system leveraging AI and advanced computer vision models to revolutionize urban traffic management. The platform consists of two panels:

Admin Panel: A comprehensive dashboard providing insights into active accidents, traffic analytics, signal control for specific regions, e-challan management, and emergency response coordination. AI models like YOLOv11 enable accident detection, license plate recognition, and dynamic traffic signal adjustments based on vehicle count, offering real-time operational efficiency.
User Panel: Provides traffic updates through an interactive map, accident reporting capabilities, e-challan information with payment options, and a traffic updates section for better route planning.
The system includes three operational modes—Normal, AI Mode, and Night Mode—to adapt to different traffic conditions. This hackathon project showcases the potential of AI to enhance urban mobility, reduce congestion, and improve road safety.

Urban Navigators is an AI-driven traffic management system featuring real-time traffic updates, accident detection, automated signal control, and e-challan management to ensure smarter and safer urban mobility.

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