Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{206069,
        author = {Rahul Kumar and Sh. Ved Praksh and Dr. Deepak Wadhwa},
        title = {Use of AI in Smart Cities and Urban Development},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {2},
        pages = {96-98},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=206069},
        abstract = {The rapid growth of urban populations has increased the demand for intelligent monitoring and management systems capable of handling complex city operations. Traditional urban management methods often struggle with inefficient resource allocation, slow decision-making processes, and an absence of real-time data analysis. This study proposes an AI-driven smart urban monitoring and decision support system that integrates computer vision, robotics, and machine learning. The proposed system collects real-time environmental and infrastructure data by deploying robotic surveillance units equipped with sensors and cameras. Machine learning algorithms process the collected data to detect anomalies, predict urban events, and support decision-making. Computer vision algorithms are utilized for infrastructure inspection, traffic monitoring, and object detection. Experimental studies show that ensemble machine learning models such as XGBoost and Random Forest achieve high prediction accuracy while maintaining computational efficiency. The proposed framework fosters smart city development by enhancing operational efficiency, reducing response times, and enabling data-driven governance.},
        keywords = {Smart City, Artificial Intelligence, Robotics, Machine Learning, Computer Vision, Decision Support System, IoT, Urban Monitoring},
        month = {July},
        }