The developing at a quick pace these days, and their related technologies are used in almost every sector. The author examines the fundamental elements of structural systems sequentially and discusses concepts of artificial intelligence and machine learning. discover easily comprehensible ways to apply MI and Al to these systems. The plan, construct, and maintain our built environment could be completely transformed by artificial intelligence. Deep learning, neural networks, swarm optimization, fuzzy logic, machine learning, pattern recognition, probability theory, and metaheuristic optimization are only a few of the AI subfields that are covered in this study. It emphasizes how AI is being used in structural engineering for things like vibration control, modular construction decision-making, and structural health monitoring. The restrictions, difficulties, and opportunities related to the industry's use of AI are also examined in the article. The research comes to the conclusion that artificial intelligence (AI) holds great promise for improving structural engineering's sustainability, safety, and efficiency, but that further study and cooperation between academia and business are required to fully reap the rewards of this technology.IoT technology in civil engineering and construction. To increase safety in these areas, an IoT monitoring system is described in this research. The technology has undergone validation tests on real-world civil engineering and construction sites. Its implementation in the civil engineering and construction sectors is anticipated to significantly improve safety over time. © 2025 Elsevier B.V., All rights reserved.