Gandhi Jaivik Maheshbhai

CM4050

This research investigates how integrating machine learning into the Last Planner System (LPS) can address data scarcity issues by creating synthetic data. It aims to assess the accuracy and efficacy of machine learning models in predicting and managing constraints in construction projects. By analyzing both structured and unstructured data, the study aims to produce a constraints-free weekly work plan. The insights gleaned from this research can assist construction firms in optimizing their processes, enhancing efficiency, minimizing mistakes, and elevating project quality.