A site where you can upload videos to build road safety awareness in India.

This portfolio project presents comprehensive analysis of road accidents data using Excel, SQL queries, Power BI visualizations, and Tableau dashboards. This repository showcases the integration of multiple analytical tools, offering actionable insights to enhance road safety and mitigate accidents.

A comprehensive analysis and classification of accident-prone zones in Australia using historical road crash data, leveraging machine learning models to predict and categorize high-risk areas.

Detects motorcycles with more than two riders, helmet compliance, and mobile usage using YOLOv8, trained on a custom dataset of 6,000+ images.

🛣️ Identify roadway errors and improvement areas from images.

A project which helps prevent accidents caused by the driver getting drowsy. The project is built on python using OpenCV library.

The repository for the course CEF440: INTERNET PROGRAMMING (J2EE) AND MOBILE PROGRAMMING

Demo telematics app for Flutter. The application walks you through the telematics SDK integration. The technology is suitable for UBI (Usage-based insurance), shared mobility, transportation, safe driving, tracking, family trackers, drive-coach, and other driving mobile applications

AI Hackathon in Transport 2024

Classification of traffic accident severity in Quebec

Working files & insights outlining the: Why, What & How, for TootAfrica (a subsidary of TootGlobal)

A dataset for traffic accident analysis in the US

Driver Drowsiness Detection - A robust solution leveraging computer vision and machine learning. Unleash the power of facial and eye movement analysis for real-time fatigue alerts, contributing to an unparalleled level of road safety.

This repository hosts the official promotional website for the RoadVisor project, an innovative AR navigation application designed to enhance the driving experience. The website provides detailed information about the project, its features, the team behind it, and more.

This is my bachelor's thesis, which contains three main features: lane detection, road segmentation, and a Forward Collision Warning (FCW) system

we present the plans of a driver-assistance system, which will be capable of road lane and traffic sign detection by using an OPEN-CV.

The Safer Streets Priority Finder enables you to analyze the risk to bicyclists and pedestrians on your community’s roads.

The Automatic Traffic Monitor (prototype) acts as a traffic officer through AI in order to prevent accidents using car proximity detectors.

A comprehensive software system leveraging convolutionary neural networks, drones, and IoT for real-time road quality monitoring and alerts. Built using Python, TensorFlow, Django, and Vue.js.

A comprehensive software system leveraging convolutionary neural networks, drones, and IoT for real-time road quality monitoring and alerts. Built using Python, TensorFlow, Django, and Vue.js.