Ashwath K

CM4050

The construction industry is prone to cost, time, and quality issues. These are all caused by improper planning, which could be avoided if planning-related issues are well predicted. The prediction could be enabled by identifying past data trends and making them useful for current and future planning. Planners and construction managers would find it very difficult to do this manually. This could be overcome by leveraging the growing technology like Artificial Intelligence, Machine Learning, and Natural Language Processing. As a starting point for building a robust prediction engine, this research focuses on building a data enhancement engine.