A Study On AI–IoT Integrated Smart Library System For Real-Time Resource Tracking And Efficient Book Retrieval In Higher Education

31 Jul

Authors: Abhendra Pratap Singh, Juned Ahmad, Ananya Singh, Meenu, Nandini Sharma

Abstract: This paper examines how AI and IoT are converting university libraries from book based systems into advanced digital ecosystems with real-time services and improved user experience. It discusses digital resources management, smart libraries, user services, and technology adoption. It discusses AI technologies like ML, NLP, predictive analytics, and conversational systems, which enable efficient cataloging, smart information retrieval, personalized recommendations, and automation, which improve decision-making and overall service quality in academic libraries. It explains how IoT supports tracking, smart systems, and automation with features like smart shelving, space management, and safety. AIoT creates a connected system that improves performance and resource utilization and discusses implementation affected by infrastructure, support, user acceptance, and staff experience. It highlights challenges such as data privacy concerns, value based issues, high costs, and opposition to change. It stresses the importance of future planning, training, and policy development for successful implementation. Overall, AI and IoT are transforming libraries into intelligent, efficient, and user centered systems. It also focuses on making smart library technologies secure, ethical, and sustainable.

DOI: http://doi.org/10.5281/zenodo.21719768