Copyright © 2026 Authors retain the copyright of this article. This article 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.
@article{190641,
author = {Milan Raj C and Siya Nesrin V A and Vivek Vijay and Nihal K Basheer and Delmy David V},
title = {CrimsonNet: Predictive and Secure Blood Donation Management System Using AI and Blockchain},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {8},
pages = {3939-3943},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=190641},
abstract = {CrimsonNet is an intelligent and secure blood do- nation management system designed to improve efficiency, transparency, and preparedness in healthcare blood supply chains. Traditional blood management systems often suffer from manual processes, delayed responses, inaccurate demand estimation, and data security vulnerabilities. To address these challenges, the proposed system integrates machine learning–based predictive analytics with blockchain technology on a unified web platform. A one-dimensional Convolutional Neural Network (1D CNN) model is employed to forecast future blood demand using historical hospital blood usage data, enabling hospitals to anticipate daily requirements and optimize inventory management. The system is implemented using the Django framework with MySQL for backend data management, while HTML, CSS, Bootstrap, and JavaScript are used to create a responsive and user-friendly frontend interface. Role-based dashboards are provided for administrators, hospitals, and donors to support registration, scheduling, monitoring, and coordination of blood donation activities. To ensure data integrity, transparency and trust, the system incorporates an Ethereum-based blockchain network where approved donor and hospital records are stored immutably using smart contracts. Additional features such as token-based scheduling, donor and camp recommendations, and real-time interaction enhance operational efficiency and donor engagement. By combining predictive analytics with decentralized data security, Crimson Net offers a scalable, data-driven solution that strengthens healthcare readiness and ensures the timely availability of blood for critical medical needs.},
keywords = {Blood Donation Management, Machine Learning, 1D CNN, Blockchain, Ethereum, Healthcare Analytics, Django},
month = {January},
}
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