Thesis Abstract

Abstract
The field of Library and Information Science has witnessed significant transformations with the advent of Artificial Intelligence (AI). This thesis explores the implementation of AI in Library Management Systems to enhance efficiency and user experience within libraries. The study begins by providing an overview of the background, problem statement, objectives, limitations, scope, significance, and structure of the thesis. This sets the stage for a detailed examination of the application of AI in library settings. Chapter two presents a comprehensive literature review that delves into ten key aspects related to the integration of AI in Library Management Systems. This section synthesizes existing research and discusses the various ways in which AI technologies can revolutionize library operations and services. The review encompasses topics such as AI algorithms, machine learning, natural language processing, recommendation systems, and data mining in library contexts. Chapter three outlines the research methodology employed in this study. It includes detailed descriptions of the research design, data collection methods, sampling techniques, data analysis procedures, ethical considerations, and the research framework. This chapter provides insights into the systematic approach adopted to investigate the impact of AI implementation in library settings. Chapter four presents a thorough discussion of the findings derived from the research study. The chapter analyzes the results obtained through the application of AI in Library Management Systems and examines the implications for library services and operations. It explores the benefits, challenges, and potential future directions of integrating AI technologies in libraries. Finally, chapter five offers a comprehensive conclusion and summary of the project thesis. This section discusses the key findings, implications, and contributions of the study to the field of Library and Information Science. It also provides recommendations for practitioners, policymakers, and researchers interested in leveraging AI for enhancing library services. In conclusion, the implementation of Artificial Intelligence in Library Management Systems holds immense potential for transforming traditional library practices and enhancing user experiences. This thesis contributes to the growing body of literature on AI applications in libraries and provides valuable insights for future research and practical implementations in the field.

Thesis Overview