• Revolutionizing Engineering Design with Artificial Intelligence and Machine Learning: A Unified Framework for Structural and Manufacturing Innovation

Er. Pallvi Verma Er. Sourav Gupta

Abstract: The Integration of Artificial Intelligence and Machine Learning with building information modeling presents transformative opportunities for advancing civil engineering design and construction. This work find out the synergistic application of AI and ML in BIM to resolve problems such as inefficiencies in design, construction errors, cost overruns, and delays.AI and ML algorithms increase BIM by automating complex tasks, optimizing resource allocation, and improving decision making accuracy, thus enabling more efficient and intelligent workflows throughout the project lifecycle. The primary areas of this work include automated design generation, predictive analysis for risk mitigation, real time construction monitoring, and sustainability assessments. The work highlights how AI powered tools can speculate structural behavior, stimulate construction processes, and offer real time solutions for unseen issues. Additionally, ML techniques such as deep learning and reinforcement learning are employed for pattern recognition and predictive modeling, enhancing precision in structural designs and material utilization. This research paper also addresses implementation challenges, such as the need for skilled personnel, high initial costs, and data privacy concerns.