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@article{191134,
        author = {Dr.Kanchanben M. Makwana},
        title = {Artificial Intelligence in Historical Research and Studies: A New Horizon},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {12},
        number = {no},
        pages = {927-931},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=191134},
        abstract = {In the twenty-first century, Artificial Intelligence (AI) is bringing fundamental transformations to scientific, technical, economic, and social domains. While AI was previously employed primarily in engineering, medicine, and industry, it has now made a significant and impactful entry into the humanities, particularly historical research. Traditionally, historical research relied on manual analysis of manuscripts, inscriptions, copper plates, royal edicts, ancient texts, murals, and archaeological remains—a time-consuming, labor-intensive, and often incomplete process.
This research paper aims to analyze how AI-based technologies—such as Machine Learning, Deep Learning, Natural Language Processing (NLP), and Computer Vision—are charting new directions in historical research. These methods allow identification, translation, and classification of documents in ancient languages, reconstruction of illegible characters, restoration of fragmented sculptures, and analysis of historical maps and photographs.
In the Indian context, AI-based studies at sites such as Nalanda, Harappa, Ajanta-Ellora, and Takshashila are generating new understandings of urban planning, educational systems, and cultural development. Specifically, at Gujarat sites like Lothal, Dholavira, Vallabhi, and Junagadh, AI-enabled 3D modeling, data analysis, and computer vision techniques are yielding significant insights into Harappan culture, trade routes, and sculptural art. The study demonstrates that AI not only accelerates and refines historical research but also illuminates previously unexplored aspects of history, offering a new scientific perspective on human culture. Nevertheless, AI remains an auxiliary tool; final interpretation, contextualization, and ethical evaluation must be conducted by human historians.},
        keywords = {Artificial Intelligence, Historical Research, Digital Humanities, Machine Learning, Data Analysis},
        month = {},
        }