Residential Scan-to-BIM As-Built Model

@esmohmedelnahas1

I can convert your laser-scan data into a clean, well-organized Archicad BIM model suitable for as-built documentation at LOD 200. I will work directly from the registered E57/RCP point-cloud and reference photos, keeping the original coordinate system intact. The model will include accurate walls, floors, roofs, doors, windows, and major MEP fixtures with appropriate basic properties, without unnecessary fabrication-level detail. All elements will be consistently named, properly classified, and organised so you can run clash checks, generate sheets, and extract quantities easily in the current Archicad version. You will receive: Native Archicad model (LOD 200) with linked point-cloud BIMX report including plans, elevations, sections, and interactive quantity/area information linked to 3D elements A short PDF describing model structure, levels, and modelling assumptions Once you share the point-cloud files and any specific naming or classification standards you prefer, I can confirm turnaround time and begin.

@Specgi

A seasoned professional with years of experience in 3D modeling and rendering, I believe my skills perfectly align with the demands of your Residential Scan-to-BIM As-Built Model project. Having built up an impressive body of work in the field of Architecture, I am well aware of the importance of a meticulously structured and accurate BIM file for any as-built documentation project. Working on Archicad native software, I can leverage its capabilities to deliver a LOD 200 model which represents your residential property down to minute details like walls, windows, doors and MEP fixtures. In addition to my comprehensive knowledge of Archicad, I’m also well-versed in incorporating point-cloud datasets into BIM models. My understanding of file formats like E57 and RCP aligns perfectly with the data you'll provide, ensuring seamless incorporation and alignment. I intend to keep work-sets and families logically organized with consistent naming conventions that reflect clarity throughout the model. One special advantage I bring is my skill in using Google Cloud Vision for efficient data collection and integration. This could play a crucial role in accurately counting timber/marble pieces and determining their average dimensions, hence providing better cost estimation measures for your report.