Project Abstract

Abstract
In the digital age, the management and retrieval of information in libraries have become increasingly complex due to the vast amounts of data available. This research project focuses on the application of Artificial Intelligence (AI) to enhance information retrieval processes in digital libraries. The primary objective is to develop and evaluate AI-based techniques that can improve the efficiency, accuracy, and relevance of information retrieval for library users. The research begins with a comprehensive literature review in Chapter Two to explore the existing AI technologies and techniques used in information retrieval systems. By analyzing previous studies and developments in this field, the research aims to identify gaps and opportunities for enhancing information retrieval in digital libraries. Chapter Three presents the research methodology, detailing the design and implementation of AI algorithms and models for information retrieval. The chapter outlines the data collection process, selection of AI tools, and experimental setup for evaluating the effectiveness of the proposed AI-based system. Chapter Four presents the findings of the research, highlighting the performance of the AI-enhanced information retrieval system compared to traditional methods. The discussion delves into the key insights gained from the experiments, including improvements in search accuracy, speed, and user satisfaction. The conclusion in Chapter Five summarizes the research findings and their implications for the field of library and information science. The study underscores the potential of AI technologies in revolutionizing information retrieval processes in digital libraries, offering enhanced services and experiences for users. Overall, this research contributes to the ongoing discourse on the integration of AI in library systems and provides practical insights for librarians, researchers, and developers looking to leverage AI for optimizing information retrieval in digital environments.

Project Overview