Abstract
This overview explores the transformative impact of artificial intelligence (AI) on geotechnical solutions. Traditionally, geotechnical engineering relied on many empirical methods for assessing soil behavior and foundation design. However, with the rapid development and implementation of AI, this field has undergone a significant transformation. AI algorithms, powered by machine learning and data analytics, enable engineers to analyze vast amounts of geotechnical data with unprecedented speed and accuracy. This summary explores how AI algorithms are revolutionizing geotechnical solutions by predicting soil behavior, optimizing foundation designs, and enhancing risk management processes. By harnessing the power of AI, geotechnical engineers can make informed decisions, mitigate risks, and optimize project outcomes like never before. Through case studies and examples, this overview showcases the potential of AI to transform geotechnical engineering, paving the way for safer, more efficient, and sustainable infrastructure development.
Keywords
Refugee Health Literacy
Trauma-Related Stress
Participatory Methodology
Mental Health Intervention
Integration Barriers
