“The client appreciated the intuitive experience, streamlined reporting process, and AI-driven insights that improved efficiency and simplified accident management.”
Project Overview
Shehab is a proposed smart system that streamlines the process of traffic accident reporting by utilizing computer vision and image analysis to detect and document incidents automatically. The goal is to make reporting faster, more accurate, and less dependent on manual input.
Problem
Accident reporting processes are often slow, complex, and unclear. Users struggle to submit reports, track their case status, and understand the outcomes efficiently.
Solution
A simple and user-friendly application that simplifies accident reporting and tracking. Users can easily submit reports, follow their case in real-time, and receive clear AI-powered insights.
User Journey
- Reporting an Accident: Easily submit accident details through a simple and guided process, ensuring accurate and quick reporting.
- Review Case State: Stay updated with real-time progress and clear updates on your case at every stage.
- Raising a Complaint: In case of dissatisfaction, easily submit complaints with a straightforward process to ensure your issue is reviewed.
My Role
- UI Design: Created a user-friendly interface to simplify the reporting process for both drivers and traffic authorities.
- System Analysis: Defined system requirements, user flows, and functional specifications to support automation and data integration.
- Database Design: Structured and implemented a database model to securely store incident reports, user information, and image data.