Addressing Road Safety Challenges

Potholes on road surfaces pose an enduring challenge to road safety and infrastructure maintenance. This project introduces an innovative approach to address this issue by integrating geospatial data, machine learning, and cloud computing. The proposed system aims to automatically detect and assess potholes in real-time, providing timely alerts to relevant stakeholders for efficient repair and maintenance.

Precision with Geospatial Integration

Geospatial information, including GPS coordinates, is incorporated to precisely locate detected potholes. This spatial context aids in prioritizing maintenance efforts and optimizing repair resources. The aim is to predict continuous concrete strength monitoring, preventing unforeseen construction issues by offering early warnings.

User-Friendly Interface

A user-friendly interface, accessible through web-based dashboards or mobile applications, is developed. This interface offers real-time monitoring of pothole detection, enables efficient reporting, and allows users to track repair progress.