An end-to-end deep learning system for automated wall crack detection, delivering pixel-accurate segmentation to support preventive maintenance and safety assessments in buildings and civil infrastructure. The project packages training, evaluation, and inference into a reproducible pipeline with a ready-to-run sample dataset and a configuration