 The construction industry is experiencing rapid transformation due to the integration of Artificial Intelligence (AI), which is enabling smarter, faster, and more efficient project execution. Traditional construction practices often suffer from limitations such as time delays, cost overruns, low productivity, and safety hazards.  Artificial Intelligence, through technologies like machine learning, deep learning, and computer vision, provides advanced solutions for automating complex processes and improving decision-making accuracy in construction projects.  AI-driven systems can analyze large volumes of data collected from construction sites, enabling real-time monitoring, predictive analysis, and early detection of potential risks and failures. This significantly reduces uncertainties and enhances project reliability.  The use of AI in construction facilitates efficient project planning and scheduling by predicting timelines, optimizing resource allocation, and minimizing delays caused by poor coordination.  AI-based safety systems, including image recognition and sensor-based monitoring, help identify unsafe conditions and ensure compliance with safety regulations, thereby reducing accidents and improving worker safety.  In quality control, AI technologies assist in detecting structural defects, material inconsistencies, and construction errors at early stages, ensuring higher quality standards and reducing rework.