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Title: AI-POWERED APPLICATION FOR CONSTRUCTION SCHEDULE MANAGEMENT USING NATURAL LANGUAGE Authors: Pal, Aritra (1,2); Murguia, Danny (2); Middleton, Campbell (2) Affiliation: 1: Indian Institute of Technology Madras, India; 2: University of Cambridge Keywords: Schedule Management, Knowledge Graph, Natural Language Processing, Large Language Models Session: Human - Data Interaction Paper Link: www.dx.doi.org/ 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 As a result, site engineers and last planners rely on static, outdated schedule copies, limiting proactive decision-making.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.