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

AgenticAI AI-Driven Integrated Framework Construction is a B.Tech project topic for Civil Engineering. Explore the IEEE-style abstract, reference…

AgenticAI AI-Driven Integrated Framework Construction is a B.Tech project topic for Civil Engineering. It gives students a clear starting point for research, implementation planning, and documentation.

AgenticAI AI-Driven Integrated Framework Construction Project Details

Abstract

This framework describes an integrated AI system that streamlines construction management. It focuses on four areas: contract analysis, dispute prediction, safety monitoring, and progress tracking. The system uses natural‑language processing (NLP) to read standard contract models such as FIDIC, NEC, and JCT. It spots high‑risk clauses and flags possible contractual conflicts before they become serious. For on‑site management, computer‑vision algorithms work with drone‑captured aerial images to run automated site surveys. The data let the system compare the planned schedule with actual progress in real time, spot safety violations, and automatically create Interim Payment Certificates (IPCs). Explainable AI (XAI) is built in so that all predictions and risk assessments are clear

and understandable for project managers. Overall, the approach gives practical guidance for adding automated decision‑support tools to modern construction projects. It improves transparency, safety compliance, and financial workflow efficiency throughout the project life cycle, linking contract administration with physical site execution for a solid digital transformation in civil engineering.

Reference Paper AgenticAI: An AI-Driven Integrated Framework for Construction Contract Analysis, Dispute Prediction, Safety Monitoring, and Progress Management
Domain Civil Engineering
Sub-Domain Construction Management Projects
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