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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM67753
Volume:
10 |
10 |
Oct 2026
Pages:
1-4
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Electronics and Telecommunication
Dr.Daultrao Aher College of Engineering
Electronics and Telecommunication
Dr.Daultrao Aher College of Engineering
Electronics and Telecommunication
Dr.Daultrao Aher College of Engineering
Managing a library by hand is slow: finding a title, recording a loan, chasing overdue items and guarding the stock all depend on staff time and attention. This paper describes the design of a voice-enabled Digital Library Assistant that brings Artificial Intelligence (AI), the Internet of Things (IoT) and Radio Frequency Identification (RFID) together on a low-cost ESP32 platform. A reader can ask for a book by speaking; the system looks the title up in a cloud database and replies by voice and on a display with its availability and shelf position. RFID tags on cards and books let issue and return happen without manual entry, a companion mobile application keeps digital records and sends due-date reminders, and an exit gate with an alarm warns when a book leaves without being issued. A servo-driven return box and a librarian dashboard complete the design. The prototype is planned for testing in a college library setting and is expected to cut routine effort, speed up retrieval and improve security, in line with the Smart Library concept and the Digital India mission.
KEYWORDS
A Digital Library Assistant based on an ESP32 controller, RFID, cloud storage and speech recognition has been designed to address the slow search, manual transactions, late reminders and weak security of conventional libraries. Its low cost and modular structure make it suitable for colleges, research centers and public libraries. The next steps are to build and test the prototype, then to add recommendation features, extend the mobile application and cloud services, and use analytics to improve the service.
[1] Available: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6384718 [2] Available: https://ieeexplore.ieee.org/document/10932399 [3] "Impact of AI on Library Management and the Future of Library Automation," ResearchGate. Available: https://www.researchgate.net/publication/390329464_IMPACT_OF_AI_ON_LIBRARY_MANAGEMENT_AND_THE_FUTURE_OF_LIBRARY_AUTOMATION [4] "Developing an AI-Based Library Assistant: Enhancing Book Retrieval with Natural Language Processing and Machine Learning," ResearchGate. Available: https://www.researchgate.net/publication/390221494_Developing_an_AI-Based_Library_Assistant_Enhancing_Book_Retrieval_with_Natural_Language_Processing_and_Machine_Learning
Publication Date
10/9/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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