Raahat is an intelligent traffic management system designed to optimize urban traffic flow using AI and real-time data analysis. It leverages computer vision and predictive logic to reduce congestion, improve signal efficiency, and enhance road safety.
IoT based Traffic Signals, developed to be implemented in special conditions to manipulate the Traffic Lights during a Green Coridor
Java tool optimizing electric vehicle charging along a green corridor highway. Calculates energy consumption and charging time, aiding efficient infrastructure and sustainable transportation.
Real-time virtual green corridor system for emergency vehicles — React Native (Expo) + Firebase. Final year team project.
IoT-enabled traffic signal system that detects approaching emergency vehicles via GPS + siren telemetry and opens a real-time green corridor through intersections ahead of them. MVP/demo — React + Leaflet dashboard, Node/Socket.IO backend, isomorphic traffic-engine simulation.
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