Generative AI with prompt engineering in construction: Enhancing predictive slope stability modelling for safe, sustainable, climate-smart mining practices

Abstract

Generative AI (GenAI) and prompt engineering are rapidly advancing in industries such as construction and mining, leading to significant improvements in efficiency, accuracy, and decision-making processes. These technologies are transforming the construction sector by automating tasks and optimizing workflows, thereby enhancing productivity and risk management. This study explores the application of Google’s Gemini AI tool, a notable breakthrough in GenAI, specifically for predictive modeling of slope stability. The Gemini AI tool is utilized within the Python programming language to generate prompts that incorporate key factors influencing slope stability, with the Google Colab interface facilitating prompt generation and testing. Initially, these prompts are employed for data analysis and visualization, followed by their application in both unsupervised and supervised machine learning approaches. The performance evaluation metrics indicate that the integrated approaches, which combine GenAI and prompt engineering, predict slope stability with a high level of accuracy. The model achieved 99% accuracy, with precision, recall, and F₁-scores ranging from 0.98 to 1.00 for both stable and unstable slope classes. This innovative methodology seeks to advance the implementation of GenAI in civil and mining engineering, offering more precise and efficient solutions for managing slope stability and supporting safe, sustainable, and climate-smart mining operations.

Keywords

GenAI / Prompt engineering / Gemini / Construction / Mining / Safety

CRediT authorship contribution statement

Muhammad Kamran: Conceptualization, Software, Investigation, Methodology, Writing - Review & Editing. Muhammad Faizan: Investigation, Methodology, Writing - review & editing. Shuhong Wang: Supervision, Project administration, Methodology, Investigation, Formal analysis. Danial Jahed Armaghani: Formal analysis, Funding acquisition, Investigation, Methodology, Resources. Panagiotis G. Asteris: Validation, Supervision, Project administration, Methodology, Formal analysis. Biswajeet Pradhan: Validation, Supervision, Software, Methodology, Investigation.

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. The Corresponding Author of this paper Biswajeet Pradhan is an Associate Editor of this Journal, and was not involved in the editorial review or the decision to publish this article.

Appendix A. Supplementary data

Supplementary data to this article can be found online at https://doi.org/10.1016/j.gsf.2025.102163.

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