Abstract

This paper presents the design and development of an AI-based smart library system developed as an Android application, which intends to transform the traditional library services into an intelligent and friendly environment. The proposed system applies machine learning algorithms to offer personalized book recommendations to users based on their preferences and reading behaviours, thereby promoting user engagement and interaction. Additionally, the system also applies voice-based natural language search, which enables users to interact with the library in a conversational way, making it simple and efficient to access the library resources. With the provision of both personalization and efficient search, the smart library system intends to make library services more accessible, reduce search time, and provide an engaging learning environment. The proposed system is scalable and user-friendly, which can be used in both educational and public libraries. The experimental analysis highlights the effectiveness of the system in optimizing library management and delivering an enriched user experience, which is an essential requirement for next-generation educational infrastructure. In addition to the technological advancements, the smart library framework also addresses usercentric design. This will ensure that digital engagement is inclusive for all demographics. The integration of artificial intelligence in the system not only optimizes the search process for data but also ensures continuous learning by adapting the dynamics of user behaviour. The integration of voice interaction in natural language processing further enhances inclusivity. This will enable users with diverse digital literacy to engage with the library seamlessly. The integration of personalization and inclusivity in its framework ensures that the system not only positions itself as a management system but also as a learning companion.