AI-powered computer vision is used to demonstrate how on-site monitoring in construction can be enhanced using AI Vision built on Google AI Studio’s platform. This article walks through a practical site analysis workflow, showing how the system auto...

Researchers talk about “AI cost estimating” all the time. In practice, most of the effort still comes down to two stubborn problems: finding the right work items and building a cost breakdown that is transparent enough to trust. That is where granul...

In this article, we explore how the Gemini API within Google AI Studio can be used to streamline construction site reporting. The article demonstrates the development of a Daily Construction Log Generator, showing how visual...

This article builds on the same AI logic tested during site and document analysis on the Trg pravde project. In that case, AI was used to scan real project documentation and automatically surface phase-specific risks across the project lifecycle. Th...

This a step-by-step breakdown of how AI was applied on a live residential project to build, validate, and stress-test a construction schedule. It shows the exact inputs used, which AI outputs were reliable, and where human control and CPM software r...

This is a technical presentation delivered by Kristijan Vilibić on the development of specialized Large Language Models (LLMs) tailored for Architecture, Engineering, and Construction. The focus is on identifying industry-specific challenges, evalua...

Construction safety management has traditionally relied on static documents, classroom-style training, and manual interpretation of regulations, site plans, and equipment manuals. While these methods remain necessary for compliance, they often strug...