From Lines to Life: Automating the CAD-to-Revit Workflow with Machine Learning (Repeat)

For several years, KLH Engineers has led efforts to bridge the gap between AutoCAD and Revit software through machine learning, enhancing our deliverable by building intelligent models from CAD plans. Expanding on our foundational work from 2019, our tool now automatically generates Revit wall elements with precise thickness from AutoCAD drawings, eliminating the problem of thin wall creation and significantly saving time. In this session, we'll demonstrate how machine learning is integral to our process. We have incorporated advanced algorithms that accurately place door and window families within Revit models, using AutoCAD data to inform our workflow and put the "I" back in building information modeling (BIM). Join us to see these advancements in action and learn how they can enhance your design process, making it faster, smarter, and more precise.