Advanced Cost Prediction in Construction: The Synergy of BIM Technology and Neural Networks

The construction industry is increasingly embracing digital tools to enhance accuracy and efficiency in project planning and execution. One pivotal area of advancement is in the realm of cost prediction, where the integration of Building Information Modeling (BIM) and neural networks presents transformative possibilities. This research paper explores how the synergistic use of BIM and neural networks can revolutionize cost prediction in construction, enabling more precise budgeting and financial management. By examining the methodologies behind this integration, the paper discusses the capabilities of neural networks to analyze vast datasets generated by BIM and predict costs with high accuracy. The paper also assesses the practical implications of this technology, including its impact on project management, stakeholder communication, and decision-making processes, while addressing potential challenges and future directions for this innovative approach