• Rashi Meshram
• Ketan Ushir

In construction, dealing with unexpected problems is crucial for project success. This study aims to improve how risks are assessed and reduced by using artificial intelligence (AI). We plan to use AI to predict, manage, and lower risks in construction projects. By analyzing past and current data, AI models can find patterns and signals that indicate potential risks. These AI models will act like smart helpers, giving project managers early warnings about possible issues. This proactive approach can help avoid problems, control costs, and improve safety. The project involves gathering a vast amount of historical and real-time data from various construction projects. By feeding this data into sophisticated AI algorithms, we aim to create models that can accurately forecast potential risks. These forecasts will provide valuable insights, enabling project managers to take preventive actions before issues escalate. This method not only helps in identifying risks but also offers solutions for risk mitigation. The project seeks to combine traditional risk management with modern AI technology. By using AI, we hope to see and address risks early, making decision-making better and more efficient. This new method can set higher standards in the construction industry, leading to safer, more efficient, and cost-effective projects. Additionally, this approach promises to enhance collaboration among stakeholders by providing a shared understanding of potential risks and strategies to address them. Ultimately, the integration of AI in construction risk management aims to revolutionize the industry, fostering an environment of innovation and continuous improvement.

"CONSTRUCTION RISK ASSESSMENT AND REDUCTION USING ARTIFICIAL INTELLIGENCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.d45-d49, June-2024, Available :http://www.jetir.org/papers/JETIR2406308.pdf

"CONSTRUCTION RISK ASSESSMENT AND REDUCTION USING ARTIFICIAL INTELLIGENCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. ppd45-d49, June-2024, Available at : http://www.jetir.org/papers/JETIR2406308.pdf