I need an AI-powered workflow that takes batches of property photos, pinpoints structural defects—specifically house cracks, concrete spalling, and ground-shift issues—and then automatically compiles a clear, side-by-side comparison report for each image set. Current App https://huggingface.co/spaces/MuzammalHussain/crack-detectionAlmasBuilding But this app require adjustment as per our needs, i will discuss wit you the settings to do so that it will complete The end product should flag every defect you detect, highlight it on the image, and summarise the findings check our sample report in Word https://drive.google.com/file/d/1RV9Wg7ubT16YtnBs2Bu75ORXR-Kx2_jS/view?usp=sharing Defect detection is the sole focus; no other image analytics are required. I’m open to the tech stack, but please use proven computer-vision tools such as Python, OpenCV, PyTorch or TensorFlow so I can retrain or extend the model later. Deliverables • A trained model capable of detecting the stated defects with practical accuracy • A lightweight interface or script that lets me upload images in bulk and receive the compiled report automatically • Source code and brief documentation so I can run the system on my own machine Acceptance criteria Full working app require as per our needs for business. Regards