I have already moved past the white-board sketches and now sit with a working prototype that spots cracks in building facades. The next milestone is to turn that prototype into a dependable AI tool that not only detects cracks but also performs grounding analysis and drafts an initial repair plan— all from the same dashboard. Nice To Meet you 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 ven if you want to create your own application or any testing tool thats fine , you can do it as you feel easy let me give you the correct results report of word file you can use it as reference , for your test you can also get the images from the word file https://docs.google.com/document/d/1iCvq8SaPceeOmh5VP7ESc2-M6qcqJhOQ/edit?usp=sharing&ouid=114905723248101459742&rtpof=true&sd=true even if you want to create your own application or any testing tool thats fine , you can do it as you feel easy What I need now is a specialist who can: • Refine and expand the computer-vision pipeline for crack detection. • Build or integrate a grounding analysis module that draws conclusions from both images and written reports. • Generate a structured repair plan with severity rankings, material estimates, and recommended actions. Python, TensorFlow/PyTorch, and NLP libraries such as spaCy or transformers are all fair game as long as the final code is readable, well-commented, and runnable on a standard GPU instance. If you thrive on turning prototypes into production-ready AI, let’s talk details and timelines.