AI Based Pre Construction Techniques

Abstract

This study explores the growing role of artificial intelligence in improving construction processes, especially in site analysis and site monitoring. Traditional methods of site evaluation and supervision often require significant time, manual effort, and are prone to human error. AI-based techniques offer a smarter and more efficient alternative by using technologies like machine learning, computer vision, and data analytics. In site analysis, AI helps in understanding terrain, soil conditions, environmental impact, and risk factors with greater accuracy through satellite imagery and predictive models. For site monitoring, AI tools such as drones, sensors, and real-time data systems enable continuous tracking of construction activities, ensuring safety, quality, and adherence to project timelines. These systems can quickly detect issues like delays, structural defects, or safety hazards, allowing faster decision-making.
Overall, the integration of AI in construction enhances productivity, reduces costs, and improves project outcomes. This research highlights how adopting AI-driven techniques can transform traditional construction practices into more reliable and intelligent systems

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