SmartRoad AI: Crowdsourced Infrastructure Damage Detection & Prioritization System

SmartRoad AI is an intelligent, community-driven infrastructure monitoring system designed to improve urban road maintenance and public safety. The platform enables citizens to report potholes, cracks, drainage issues, and other infrastructure damages by uploading geo-tagged photos through a mobile or web application. The system integrates Machine Learning and Computer Vision to automatically analyse uploaded images, classify the type of damage, and estimate its severity. Based on multiple parameters such as damage size, traffic density, location importance (e.g., highways, school zones), and number of complaints, the system generates a priority score for each report. A centralized administrative dashboard provides city authorities with real-time insights, including mapped damage locations, severity levels, analytics, and automatically generated repair tickets. The platform also tracks repair status to ensure transparency and accountability. By combining crowdsourcing, AI-driven analysis, and automated prioritization, SmartRoad AI enhances response time, optimizes municipal resource allocation, reduces accident risks, and supports the development of smarter, data-driven cities.