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 naturalβlanguage processing (NLP) to read standard contract models such as FIDIC, NEC, and JCT. It spots highβrisk clauses and flags possible contractual conflicts before they become serious. For onβsite management, computerβvision algorithms work with droneβcaptured 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 decisionβsupport 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.
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| 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 |
| PDF Download |
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| Get Help |
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