Intelligent Academic Libraries: An AI–Digital Twin Approach

Abstract

Abstract This paper proposes a novel AI–Digital Twin framework for smart academic library management by integrating Artificial Intelligence (AI), Digital Twin technology, the Internet of Things (IoT), cloud computing, and RFID systems into a unified intelligent ecosystem. The proposed framework enables real-time monitoring, predictive analytics, resource optimization, personalized user services and evidence-based decision-making while improving collection management, space utilization, security and operational efficiency. It also addresses key implementation challenges, including data privacy, cybersecurity, interoperability, infrastructure and workforce readiness. By presenting a scalable and sustainable model, the study contributes to the advancement of Library and Information Science and provides a strategic roadmap for developing intelligent, user-centric and future-ready academic libraries in the era of digital transformation.