Project Abstract

Abstract
This research project investigates the application of Artificial Intelligence (AI) in enhancing library cataloging and classification processes. The project aims to address the challenges faced by libraries in managing and organizing vast amounts of information by leveraging AI technologies. The study focuses on exploring how AI can improve the efficiency, accuracy, and effectiveness of library cataloging and classification systems. The research begins with an introduction that provides an overview of the significance of the study, highlighting the increasing volume of digital information and the need for advanced tools to manage and organize this data effectively. The background of the study discusses the evolution of library cataloging and classification methods and the limitations of traditional approaches in handling modern information resources. The problem statement identifies the gaps and challenges in current library systems that AI can help address. The objectives of the study include evaluating the potential benefits of AI in library cataloging and classification, developing AI models for automated indexing and categorization of library materials, and assessing the impact of AI on user experience and information retrieval. The study also outlines the limitations and scope of the research, emphasizing the need for further investigation and validation of AI solutions in library settings. The research methodology section details the approach and techniques used in the study, including data collection methods, AI model development, and evaluation criteria. The literature review explores existing research and developments in AI applications for library services, providing a comprehensive overview of the current state of the field and identifying gaps for further research. The discussion of findings section presents the results of the study, including the performance of AI models in cataloging and classifying library materials, user feedback on AI-enhanced library services, and implications for future implementation and research. The conclusion summarizes the key findings and contributions of the study, highlighting the potential of AI to revolutionize library cataloging and classification practices. In conclusion, this research project contributes to the growing body of literature on AI applications in library and information science. By exploring the benefits and challenges of utilizing AI for enhanced library cataloging and classification, the study provides valuable insights for librarians, researchers, and technology developers seeking to optimize information management in the digital age.

Project Overview