Applications of artificial intelligence in construction projects mapping

Authors

  • Rabail Tanveer Government College Women University Sialkot, Pakistan
  • Jahanzeb Hassan Department of Political and Social Sciences, Azerbaijan University, Baku, Azerbaijan

Keywords:

Artificial Intelligence, Project Management, Construction

Abstract

The AI enhances risk reduction and maximizes resource use, both of which lead to better project results. In order to examine the economic growth and sustainability under catalyst influence AI, the study intends to assess Artificial Intelligence-Driven Plans in Project Management in Construction. A sample of 100 persons was employed in the study to test six hypotheses using a Google form survey. Using primary quantitative data, it examines how well AI systems perform in risk management, construction management, resource allocation, rescheduling, and predictive skills. Smart PLS software has been used to analyze data in order to comprehend statistical operations and statistical support for the context of viability and reliability. The findings demonstrate that AI technologies have a beneficial impact on risk management in the construction industry, as well as on resource allocation and rescheduling through predictive capacities. The study has good ramifications for the future since it provides suggestions on how project managers and decision-makers might employ AI technology to address the difficulties facing the construction industry.

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Published

2025-09-20

How to Cite

Rabail Tanveer, & Jahanzeb Hassan. (2025). Applications of artificial intelligence in construction projects mapping . Ammanif Bulletin of Social Sciences, 2(2), 71–77. Retrieved from https://ammanif.com/journal/bss/index.php/home/article/view/51