Manthan Patel@Manthan15123

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.

🔍Create AI-driven solutions using open-source technologies to optimize public sector network management—planning, procurement, and maintenance—for scalable, sustainable school connectivity in underserved regions. 📅 Join us January 24-26: Participate online or in person in Geneva to develop innovative solutions with peers globally. 👨‍🏫 Work alongside industry mentors for insights and guidance on your projects. 🏆 Compete for a chance to join the Lablab NEXT incubator program! 🧑🏻‍💻 Sign up before the Kick-Off Stream to secure your spot!