This project presents a hybrid CNN-VGG model designed for automated detection of cracks in concrete structures, aiming to enhance predictive maintenance and improve the assessment of concrete health conditions. The model achieves an accuracy of 80%, making it an effective tool for early detection and preventive measures in structural engineering.
active 2025-09-15 → 2025-09-15 (UTC)
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