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@article{194404,
        author = {Dr. Kismat Chhillar and Dr. Deepak Tomar},
        title = {Artificial Intelligence-Enabled Monitoring and Evaluation of Sustainable Development Goals},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {3366-3381},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=194404},
        abstract = {The Sustainable Development Goals (SDGs) established by the United Nations provide a comprehensive global framework for addressing critical challenges related to poverty, health, education, environmental sustainability, and economic development. Effective monitoring and evaluation of these goals require timely, accurate, and large-scale data analysis, which traditional statistical approaches often struggle to provide due to fragmented datasets, reporting delays, and limited analytical capacity. Artificial Intelligence (AI) has emerged as a powerful tool capable of transforming SDG monitoring through advanced data analytics, machine learning, and automated decision support systems. By integrating diverse data sources such as satellite imagery, IoT sensor data, governmental databases, and social indicators, AI-driven systems can identify patterns, forecast development trends, and provide real-time insights into the progress of SDG indicators. This paper explores the potential of AI-enabled frameworks for monitoring and evaluating sustainable development initiatives, highlighting the role of predictive analytics, computer vision, and natural language processing in enhancing development assessments. It further discusses the benefits of AI in improving policy evaluation, enabling proactive decision making, and strengthening evidence-based governance. The findings suggest that AI-enabled monitoring systems can significantly enhance the transparency, efficiency, and responsiveness of SDG evaluation processes, thereby supporting governments and international organizations in accelerating progress toward sustainable and inclusive global development.},
        keywords = {Artificial Intelligence, Sustainable Development Goals, Machine Learning, Development Analytics, Data-Driven Policy Evaluation, Smart Governance.},
        month = {March},
        }