AI-POWERED APPLICATION FOR CONSTRUCTION SCHEDULE MANAGEMENT USING NATURAL LANGUAGE
DOI: 10.35490/EC3.2025.407
Abstract: Project schedules are critical for construction management, yet they remain inaccessible to many professionals due to complex scheduling software and costly licenses. As a result, site engineers and last planners rely on static, outdated schedule copies, limiting proactive decision-making. This study proposes an AI-powered schedule management application that enables natural language interaction with project schedules. By leveraging knowledge graphs (KG) and NLP, the app enhances accessibility, reduces inefficiencies, and ensures real-time interaction with updated schedules. The results demonstrate improved usability and engagement with schedules. This research contributes an AI-powered schedule management solution to bridge the gap between scheduling expertise and project execution.
Keywords: Knowledge graph, Large Language Models, natural language processing, Schedule Management