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@article{204723,
        author = {MULANI UMARKHAIYAM DULEMIYA},
        title = {AI & Machine Learning in Libraries: Transforming Library Services in the Indian Context},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {1},
        pages = {3965-3968},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=204723},
        abstract = {This research paper examines the adoption, applications, challenges, and future directions of Artificial Intelligence (AI) and Machine Learning (ML) technologies within libraries in India. The study synthesizes current literature, national initiatives, and practical case examples—focusing on major Indian library networks and digital initiatives such as the National Digital Library of India (NDLI), INFLIBNET Centre, and DELNET. The paper outlines AI-driven innovations in search and discovery, metadata enrichment, recommendation systems, automated cataloguing, accessibility services, and knowledge graphs; evaluates barriers to adoption including infrastructure, skills gaps, and ethical concerns; and offers policy- and practice-oriented recommendations for Indian academic and public libraries. Key recommendations emphasize capacity building, collaborative roadmap planning, ethical frameworks, and pilot-driven implementation strategies.},
        keywords = {Artificial Intelligence, Machine Learning, Libraries, India, NDLI, INFLIBNET, DELNET, metadata, digital libraries},
        month = {June},
        }