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@article{190415,
        author = {Dr. Merubhai P. Makwana and Dr.Kanchanben M. Makwana},
        title = {Application of Artificial Intelligence (AI) in Archaeological Site Excavation},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {12},
        number = {no},
        pages = {356-358},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=190415},
        abstract = {Archaeology is a critical discipline for understanding human history through the study of past remains. Traditional excavation methods have largely relied on human experience, visual observation, and historical texts, which often pose challenges in terms of time, cost, and human error. With the advent of Artificial Intelligence (AI) in the 21st century, the perspective of archaeological research has undergone a transformative shift. AI-based methods such as machine learning, remote sensing, GIS, 3D modeling, image processing, and virtual excavation have made archaeological investigations more scientific, precise, and secure.
In the Indian context, AI applications in sites spanning the Indus Valley Civilization, Vedic, Mauryan, Gupta, Medieval, and modern periods have accelerated research processes. Specifically, in Gujarat, sites such as Dholavira, Lothal, Devnimori, Vadnagar, Vallabhi, Girnar–Junagadh, and Dwarka/Khambhat have witnessed significant preservation and analysis of remains through non-invasive and 3D technologies.
This paper analyzes the use, advantages, limitations, and ethical challenges of AI in archaeology, highlighting that a balanced collaboration between human intelligence and AI is essential for successful archaeological research. By examining examples from Gujarat excavations, this study demonstrates the wide-ranging impact of AI on Indian archaeology.},
        keywords = {Archaeology, Excavation, Artificial Intelligence, Gujarat, 3D Modeling, GIS, Virtual Archaeology, Excavation Techniques, Gujarat Heritage, Non-invasive Archaeology},
        month = {},
        }