International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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AgenticAI: An AI-Driven Integrated Framework for Construction Contract Analysis, Dispute Prediction, Safety Monitoring, and Progress Management

Author(s) Ms. TASNEEM FATIMA, Mr. MANNAN ABDUL MOHAMMED, Mr. EZAAN SYED AHMED
Country India
Abstract This paper introduces AgenticAI, a desktop and mobile AI application that integrates natural language processing (NLP), predictive analytics, and computer vision with drone-based location monitoring. The system analyzes large-scale contract data, including standard models such as FIDIC, NEC, JCT, and custom contracts, to identify high-risk items, predict potential conflicts, and propose real-time interventions to mitigate risk. Furthermore, AgenticAI compares planned progress against actual progress using drone-based site surveys, detects safety violations, automates Temporary Payment Certificate (IPC), and supports quality checks and risk assessments. By Leveraging Interpretable Artificial Intelligence (XAI), the system provides comprehensive and proactive decision support, increasing trust, transparency and accountability in the delivery of construction projects.
Keywords Artificial Intelligence, Construction Management, Contract Analysis, Dispute Resolution, Drones, Project Scheduling, Safety Monitoring, Digital Transformation
Field Engineering
Published In Volume 7, Issue 5, September-October 2025
Published On 2025-09-23
DOI https://doi.org/10.36948/ijfmr.2025.v07i05.56436

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