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AUTOMATED ROAD ASSESSMENT SYSTEM

Developed a real-time road defect detection system using CNNs, TensorFlow, and OpenCV to identify potholes and cracks with 93% and 89% accuracy, respectively. Features include GPS tagging, defect size estimation, heatmap visualization, and an admin dashboard for report management. Deployed on Render with a custom domain.