Pothole Detection System Project

Road maintenance is a critical aspect of transportation infrastructure management. Traditional pothole inspection methods are time-consuming, labor-intensive, and prone to human error. The AI-Based Pothole Detection and Road Monitoring System provides an automated solution by utilizing Artificial Intelligence, Deep Learning, and Computer Vision techniques to detect potholes from road images and videos. The system allows users to upload media files, automatically analyzes the content, identifies potholes, and generates detection reports with pothole counts. Processed results are stored in the database and can be reviewed through a user-friendly dashboard. This solution improves road safety, reduces inspection costs, and enables faster maintenance decision-making.