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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM65222
Volume:
10 |
6 |
Jun 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.
B.E Computer Department
JSPM Narhe Technical Campus
B.E Computer Department
JSPM Narhe Technical Campus
B.E Computer Department
JSPM Narhe Technical Campus
B.E Computer Department
JSPM Narhe Technical Campus
B.E Computer Department
JSPM Narhe Technical Campus
The increasing demand for affordable and accessible reading resources has led to the development of digital solutions in the book rental domain. This paper presents a Books on Rent Application using Flutter, a cross-platform mobile application designed to simplify and automate the book rental process. The system allows users to browse, rent, and return books efficiently through a user-friendly interface. The application is developed using Flutter and Dart, ensuring smooth performance across Android and iOS platforms. Firebase is used as the backend for real-time database management, authentication, and cloud storage, while Razorpay is integrated for secure payment processing. The system includes modules such as user management, book catalog, rental management, payment processing, and notifications. The application improves accessibility, reduces cost, and promotes sustainable reading habits. Performance evaluation shows high reliability, fast response time, and scalability. The proposed system effectively bridges the gap between book providers and readers through a digital platform.
KEYWORDS
The Books on Rent Application presents a reliable and scalable mobile solution for digital book rental management. The integration of Flutter and Firebase enables cross-platform compatibility, real-time data synchronization, and efficient system performance. Secure payment handling through Razorpay enhances transaction reliability and user trust. Experimental analysis confirms that the application achieves high accuracy, satisfactory response times, and strong usability. The system successfully addresses the limitations of traditional rental methods by providing automated rental processing, secure online payments, and real-time notifications. Future enhancements may include AI-based book recommendation systems, machine learning-driven demand forecasting, multilingual support, QR-code-based rental verification, offline synchronization capabilities, and web platform integration.
1. Google Cloud Firestore Documentation, Available: https://cloud.google.com/firestore/docs 2. Android Developers Documentation, Available: https://developer.android.com 3. Firebase Cloud Messaging Documentation, Available: https://firebase.google.com/docs/cloud-messaging 4. Kumar, S. and Patel, D., “Cloud-Based Mobile Applications Using Firebase for Real-Time Data Management,” International Journal of Engineering Research, 2024. 1. Google, Firebase Documentation, Available: https://firebase.google.com/docs 2. Google, Flutter Documentation, Available: https://flutter.dev/docs 3. Razorpay Documentation, Available: https://razorpay.com/docs 4. Dart Programming Language Guide, Available: https://dart.dev/guides 5. Pub.dev Flutter Packages Repository, Available: https://pub.dev 6. AWS Documentation, Available: https://aws.amazon.com
Publication Date
6/20/2026
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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