SMART SOLUTION FOR LABOR ACQUISITION USING BIM

Abstract

In the construction industry, a multitude of challenges continually plague the field, from breakdowns in communication and design issues to workplace accidents and labor shortages. However, our extensive research has led to the development of an innovative solution that leverages the power of digital technologies and machine learning to address these challenges and bridge the gap between construction companies and the workforce. Our groundbreaking approach involves the creation of two distinct modules designed to directly confront and mitigate these pervasive obstacles. Module One serves as a comprehensive platform that facilitates seamless communication between clients and workers, enabling the provision of remote job opportunities, efficient bid management, streamlined employee selection, and real-time interaction. This module essentially acts as a unified hub for all communication and operational needs within the construction ecosystem. Meanwhile, Module Two functions as a sophisticated plug-in, harnessing the immense capabilities of REVIT in harmony with machine learning algorithms to optimize labor allocation and enhance workforce management. By leveraging data and advanced analytics, this module can significantly improve resource allocation and task assignment, leading to enhanced operational efficiency and resource utilization. The impact of our solution has been profound, with tangible improvements evident in all facets of construction project management. This includes notable enhancements in task scheduling efficiency, substantial reductions in project delays, and cost savings. Most significantly, the seamless integration of machine learning has revolutionized and streamlined critical processes, leading to a substantial boost in overall operational efficiency, thus establishing our solution as a transformative force in the construction industry.