Digital Twin Buildings: 3D Modeling, GIS Integration, and Visual Descriptions Using Gaussian Splatting, ChatGPT/Deepseek, and Google Maps Platform

We propose a digital building analysis (DBA), a digital system for building-scale cloud-based data integration and data analytics. By connecting to cloud mapping platforms such as Google Map Platforms APIs, leveraging state-of-the-art multiagent large language model (LLM) data analysis using ChatGPT(4o) and Deepseek-V3/R1, and using our Gaussian splatting (GS)-based mesh extraction pipeline, our framework can retrieve a building’s 3-D model, visual descriptions, and achieve cloud-based mapping integration with large language model-based data analytics using a building’s address, postal code, or geographic coordinates, and be easily extended to perform data analysis on other cloud-based data streams.