Keyword-Based Exploration of Library Resources
Vaibhav Gupta1, Deepak V Gowda2, Mohammed Iqlaas3, A M Chethan Kumar4, Zafar Ali Khan N5
Department of Computer Science and Engineering, Presidency University, Bangalore, India
ABSTRACT
The project "Keyword-Based Exploration of Library Resources" addresses the challenges associated with
accessing and discovering academic resources efficiently. Traditional systems often suffer from limitations such as inadequate multilingual support, poor metadata utilization, and restricted filtering capabilities, which hinder users from locating relevant research materials effectively. This project proposes an innovative solution
leveraging Artificial Intelligence (AI) and Natural Language Processing (NLP) techniques to enhance search capabilities and inclusivity.
The system incorporates:
• Multilingual Search: Enabling users to perform queries in various languages using translation APIs.
• Advanced Filtering Options: Allowing searches to be refined by author, publication year, journal, and more.
• AI-Powered Metadata Extraction: Utilizing Optical Character Recognition (OCR) and NLP to extract and catalogue metadata like keywords, authors, and publication years.
The proposed system is built on a Python backend using Flask for API integration and MyAWS CLOUD for secure data storage. By integrating robust search mechanisms and user-friendly design, the project contributes to Sustainable Development Goal 4 (Quality Education), fostering global accessibility to knowledge and academic research. The outcomes of this project are anticipated to significantly improve resource discoverability,
inclusivity, and precision, addressing the needs of diverse academic communities.
INDEX TERMS
Keyword Search, Library Resource Management, Information Retrieval, Digital Libraries, Metadata Extraction, Search Optimization, Natural Language Processing (NLP), Database Searching, Search Algorithms, Document Retrieval Systems, Academic Research Tools.
