AI-based Toll Plaza Monitoring System for vehicle detection, ANPR, toll collection analytics, and smart traffic monitoring.

AI-powered system for managing traffic and crowd near religious places using real-time and predictive analytics. It provides heatmaps, smart routing, and gate-level insights to reduce congestion and improve visitor experience.

🚦 AI-powered Smart Traffic Analytics using YOLOv8 + DeepSORT. Detects, tracks, and counts vehicles & people, estimates speed, classifies traffic density, and exports insights to CSV. A computer vision solution for smart cities, road safety, and traffic management.

Real-time Smart City IoT analytics platform using Machine Learning, Flask APIs, and interactive dashboards for traffic density and air quality prediction.

Vehicle Detection and Counting System . This project is an AI-powered traffic monitoring solution that uses computer vision and deep learning to detect and count vehicles in real time. It is designed to improve traffic management, reduce congestion, and provide valuable analytics for smart city applications.

UDAAN_AI is an AI-driven unified intelligence platform that seamlessly integrates GPS, drone, and air traffic data into a single ecosystem. It provides real-time tracking, predictive analytics, and smart alerting for fleets and UAVs, helping agencies monitor, predict, and optimize aerial and ground operations.

AI-powered hourly traffic prediction + Power BI analytics for Smart City planning

AI-powered traffic management system with real-time community data, emergency routing, and predictive analytics for smarter cities.

AI-powered Smart City Analytics platform for traffic, infrastructure, crowd, and air quality monitoring using DL, NLP, and Cloud.

TrafficTelligence uses AI and machine learning for real-time traffic volume estimation, predictive analytics, and smart city integration, optimizing traffic management and urban mobility efficiently.

Traffic AI Monitor is a smart web-based system that uses AI to analyze live camera feeds and uploaded videos for real-time traffic monitoring, detecting vehicle counts, alerts, and generating analytics to improve traffic management.

Traffic IQ is an advanced traffic management platform leveraging AI and real-time data to optimize road usage, reduce congestion, and enhance road safety. It provides smart traffic suggestions, route optimization, and analytics for city authorities and transport departments.

Smart Traffic Signal Control using Predictive ML & IoT — An AI-based system leveraging YOLOv8 and real-time analytics for vehicle detection, lane classification, and traffic flow optimization. Provides JSON/CSV logs, reduces congestion, fuel use, and enables scalable smart city deployment.

AI Smart City UI 🚀 – A next-gen AI-powered Smart City UI framework using Angular, StencilJS & WebAssembly. Features real-time urban data visualization, AI-driven traffic & energy monitoring, and smart infrastructure analytics. Built for sustainable, intelligent city management! Fork, star ⭐, and explore the future of Smart City UI!

🚦 Smart Traffic Signal Optimization System AI-driven traffic management solution built for Smart India Hackathon 2025. Uses computer vision to detect vehicle density and dynamically optimize signal timings in real time. Includes dashboard visualization, data analytics, and a scalable architecture for multiple junctions.

AI-powered solution for real-time fleet optimization and traffic analytics, leveraging predictive models and telematics to boost routing efficiency, reduce costs, and enable smarter urban mobility insights.

An IoT-powered energy management solution for smart transportation networks that optimizes power consumption across traffic infrastructure using real-time monitoring, predictive analytics, and AI-driven load balancing.

Smart Traffic Management System – A real-time AI-powered system using YOLOv8 to detect and count vehicles from traffic videos. Features a professional Streamlit dashboard with live video display, vehicle metrics, animated UI, and downloadable annotated videos for analytics and traffic monitoring.

"An integrated Smart Traffic & Parking Management System for Solapur Municipal Corporation (SMC) featuring AI-driven signal automation, digital parking reservations, real-time obstruction detection, and a central analytics dashboard."

CASATRAFFIC AI a platform delivering real-time traffic insights and predictive analytics for Casablanca urban mobility. Minimal, fast, and visually refined — CASATRAFFIC AI empowers smarter navigation with advanced LSTM models and seamless map-based interaction.

An AI-powered Smart Traffic Management System that uses real-time data, computer vision, and predictive analytics to reduce congestion, optimize signal timing, and improve urban mobility for smart cities. Built with FastAPI and a modern React frontend.

Parkify is a full-stack Smart City Parking and Traffic Management platform designed for multi-tenant city operations. It supports real-time parking inventory, reservations and sessions, violation workflows, analytics dashboards, and AI-assisted modules (demand prediction, recommendations, and traffic insights).

🚦 A real-time Smart City Traffic Dashboard using React, Vite, Tailwind CSS, and TomTom API. View live traffic maps, city-based insights, and interactive charts powered by AI analytics. Built for smart mobility and IoT use cases with a clean, responsive UI and real-time data visualizations.

An AI-powered traffic sign management system using CNN for real-time detection, voice interaction for hands-free queries, and live visual feedback for instant sign recognition. Ideal for smart driving assistance, safety analytics, and autonomous vehicles.

An AI-powered smart traffic management system using YOLO for vehicle detection and OpenCV for image processing. Dynamically adjusts signal timings, prioritizes emergency vehicles, and predicts congestion to reduce jams, save fuel, and lower emissions in urban areas.Features real-time dashboard and analytics for traffic authorities.

"An AI-powered Digital Twin model for real-time road safety monitoring. Uses sensors, live traffic data, and predictive analytics to simulate road conditions, detect risks, and recommend safety actions. Built for smarter, safer transportation systems."

AI-based smart traffic and parking management system using camera feeds and YOLO models to analyze traffic flow, parking availability, and violations in real time. Edge processing ensures low latency, while cloud analytics and map-based dashboards provide actionable insights for citizens and city authorities.

Developed an AI- and IoT-based smart city solution for traffic, air quality, and energy optimization. Built YOLO-based vehicle detection for adaptive signal control, implemented a TensorFlow/Keras model for AQI prediction, designed sensor-based smart lighting, and integrated IoT data with cloud platforms for real-time monitoring and analytics.

A collection of data analytics projects covering music trends, smart traffic management, and financial insights. Includes structured code, data processing, and visualizations using Python, AI, and ML. Designed for learning and real-world applications, ensuring clarity and reproducibility

An AI-powered smart train planning system for Mumbai Locals that monitors real-time crowd density and predicts congestion using analytics and computer vision. It helps commuters travel safely while assisting railway authorities with better decision-making and traffic management.