Web-Based Blood Bank Application

Abstract

The need for efficient blood management systems has increased significantly due to rising medical emergencies and demand for real-time blood availability. This paper presents the design, implementation, and performance evaluation of a scalable web-based blood bank management system developed using React.js, Spring Boot, and MySQL. The system provides real-time donor-recipient matching, secure authentication using JWT, and optimized data handling through REST APIs. Advanced features such as location-based search, responsive user interface, and efficient inventory tracking are implemented. Performance evaluation shows reduced response time, high throughput, and system reliability. The proposed system significantly enhances traditional blood bank operations and contributes to improved healthcare delivery.

Introduction

This study presents a web-based blood bank management system designed to improve the efficiency, speed, and reliability of blood availability during medical emergencies. It addresses the limitations of traditional blood bank systems, which often rely on manual processes that cause delays, poor coordination, outdated records, and difficulty in matching donors with recipients—especially in rural areas.

The proposed system creates a centralized digital platform that connects donors, recipients, hospitals, and blood banks in real time. By using internet technologies, it improves communication, enables faster donor-recipient matching, and ensures timely availability of blood, which can be critical in life-threatening situations.

Existing systems are found to have issues such as lack of real-time updates, poor user interfaces, weak security, and limited functionality like geolocation-based search or automated blood group matching. The proposed solution addresses these gaps by introducing a secure, scalable, and user-friendly web application with features such as real-time inventory updates, improved search capabilities, and secure authentication.

The system is built using a client–server architecture, where users interact through a web interface while the backend handles processing through APIs. Key functionalities include user registration, login, donor data management, and blood search services. The backend is developed using Java and Spring Boot, while the frontend uses React, ensuring smooth communication between interface, server, and database.

A key feature of the system is its API-driven design with JWT-based authentication, which ensures secure access and protects user data. The workflow includes data input through forms, backend processing via APIs, database retrieval of donor information, and real-time display of matching donors based on blood group and location.

Conclusion

This study presented a proof-of-concept that web-based blood bank application designed to support and play vital role in medical and healthcare. This research presented the design, development, and evaluation of a web- based blood bank application aimed at enhancing the efficiency, transparency, and accessibility of blood donation and distribution services. The system successfully addressed key challenges in traditional blood bank management, such as delayed request processing, lack of real-time inventory tracking, and limited donor engagement. By developing this web-based application the founding of donor, blood bank is very convenient. The development of this web-based blood bank application successfully demonstrates the integration of a modern React.js frontend with a robust Java (Spring Boot) backend to solve the critical challenges of traditional blood management. By transitioning from manual record keeping to an automated digital ecosystem, this system significantly reduces the \"search-to-delivery\" time, which is paramount during medical emergencies. In conclusion, the 6. REFERENCES p-ISSN: 2395-0072 [1] S. Maturkar, \"Blood Bank Management System,\" International Research Journal of Engineering and Technology (IRJET), vol. 7, no. 9, pp. 361-365, Sep. 2020. [Online]. Available: www.irjet.net. [2] R. R. Mahalle and S. S. Thorat, \"Smart Blood Bank Based on IoT: A Review,\" International Research Journal of Engineering and Technology (IRJET), vol. 5, no. 1, pp. 101 105, Jan. 2018. [3] A. Khan et al., \"Scalable Blood Requirement Analysis System,\" International Research Journal of Engineering and Technology (IRJET), vol. 7, no. 5, pp. 2966-2970, May 2020. proposed system is not merely a database management tool but a life-saving digital intervention. It optimizes the blood supply chain, enhances donor engagement through a user friendly interface, and provides a scalable framework that can be integrated with national healthcare registries. Future enhancements could include the integration of AI-based demand forecasting and GPS-enabled real-time donor tracking to further refine the efficiency of emergency responses.

References

[1] S. Maturkar, \"Blood Bank Management System,\" International Research Journal of Engineering and Technology (IRJET),vol. 7, no. 9, pp. 361-365, Sep. 2020. [Online]. Available: www.irjet.net. [2] R. R. Mahalle and S. S. Thorat, \"Smart Blood Bank Based on IoT: A Review,\" International Research Journal of Engineering and Technology (IRJET), vol. 5, no. 1, pp. 101 105, Jan. 2018. [3] A. Khan et al., \"Scalable Blood Requirement Analysis System,\" International Research Journal of Engineering and Technology (IRJET), vol. 7, no. 5, pp. 2966-2970, May 2020. [4] P. Kumar and R. Singh, \"Performance Analysis of React.js for Modern Web Applications,\" Journal of Software Engineering and Applications, vol. 14, no. 3, pp. 45-58, 2021. [5] M. B. Linder, Spring Boot in Action, 2nd ed. New York: Manning Publications, 2022. (Useful for citing the robustness of the Java backend). [6] T. S. Balaji and M. Gokulraj, \"Design and Implementation of Web-Based Blood Bank Management System,\" International Journal of Computer Science and Engineering, vol. 10, no. 4, pp. 112-118, 2022. [7] A. Singh et al., \"Revolutionizing Blood Bank Management: Leveraging Machine Learning for Inventory Optimization,\" Asian Journal of Current Research, vol. 9, no. 1, pp. 12-24, 2024. [8] \"IoT Based E-Blood Bank System for Real-Time Hospital Monitoring and Inventory Management,\" International Journal of Innovative Research in Computer and Communication Engineering, vol. 13, no. 1, Jan. 2025. [9] J. Farrington et al., \"Machine Learning to Support Waste Reduction in Hospital Blood Banks,\" arXiv preprint arXiv:2411.14939, 2024.

Copyright

Copyright © 2026 Kaushal Sakalle , Pratik Uchitkar, Kuldeep Sapate, Dr. Sushma Telrandhe. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.