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

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.

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)

🛣️ 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.

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.

RoadVisor is an augmented reality navigation application aimed at enhancing the driving experience. It combines real-time traffic information and advanced computer vision techniques to improve safety and efficiency on the road. The project is brought to life by a passionate team of computer engineering students.