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@article{208161,
        author = {Sonal B. Kumbhar},
        title = {Artificial Intelligence in Construction Project Management: Applications, Benefits, Challenges and Future Scope},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {4},
        pages = {591-598},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=208161},
        abstract = {The construction industry is one of the major sectors contributing to economic and infrastructure development; however, construction projects frequently face challenges such as cost overruns, schedule delays, safety risks, low productivity, resource inefficiency and uncertainty in decision-making. The rapid development of Artificial Intelligence (AI) provides new opportunities to address these challenges through data-driven prediction, automation, optimization and intelligent decision support. This paper presents a structured review of the applications of Artificial Intelligence in construction project management, with particular emphasis on cost management, time and scheduling, safety management, risk management, resource optimization, Building Information Modelling (BIM), quality management and decision support. Recent literature indicates that AI and Machine Learning (ML) applications are particularly concentrated in project planning, monitoring and control. AI-based systems can support cost estimation, delay prediction, schedule optimization, safety monitoring, risk assessment and performance forecasting. Integration of AI with BIM, Internet of Things (IoT), computer vision and digital twins can further improve real-time project monitoring and decision-making. However, implementation is constrained by fragmented project data, lack of high-quality datasets, high implementation costs, shortage of skilled personnel, resistance to technological change, interoperability issues and concerns regarding data privacy and accountability. The review indicates that future construction management will increasingly depend on integrated, data-driven and human-AI collaborative systems. Successful adoption will require appropriate organizational strategies, workforce training, data standards and responsible AI governance.},
        keywords = {Artificial Intelligence, Machine Learning, Construction Management, Project Management, BIM, Risk Management, Cost Management, Schedule Management, Construction Safety, Digital Transformation},
        month = {September},
        }