Blood Donation Application Using Machine Learning

Mahesh Mahajan; Makarand Shahade; Priyanka Kachave; Rahul Suryawanshi; Prachi Patil; Shubhangi Patil

doi:10.2991/978-94-6463-858-5_72

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Blood Donation Application Using Machine Learning

Authors

Mahesh Mahajan¹, Makarand Shahade¹, Priyanka Kachave¹, Rahul Suryawanshi¹^{, *}, Prachi Patil¹, Shubhangi Patil¹

¹Department of Master of Computer Application, SVKM’s Institute of Technology, Dhule, India

^*Corresponding author. Email: suryawanshirahul9623@gmail.com

Corresponding Author

Rahul Suryawanshi

Available Online 4 November 2025.

DOI: 10.2991/978-94-6463-858-5_72 How to use a DOI?
Keywords: Machine Learning; Blood Donation; Realtime System; Predictive Modeling; KNN; Logistic Regression; Linear Regression; Clustering; Cloud Computing
Abstract: Blood donation is a critical aspect of health care, yet donor availability, timely supply of blood, and demand prediction continue to be problems. This paper presents a machine learning blood donation application to enhance donor-recipient interaction, predict demand for blood, and maximize blood bank management. The proposed system consists of a mobile and web application where the recipients and donors become registered, indicate their availability, and post blood request. The demand for blood is predicted based on historical records of donations, seasonal trends, and emergency demands through machine learning algorithms. The system also offers certificates and receipts as a motivation for donors. Through the use of AI/ML in healthcare, this system maximizes the effectiveness of blood donation services by minimizing shortages, and optimizing emergency response times.
Copyright: © 2025 The Author(s)
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
Series: Advances in Computer Science Research
Publication Date: 4 November 2025
ISBN: 978-94-6463-858-5
ISSN: 2352-538X
DOI: 10.2991/978-94-6463-858-5_72 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Mahesh Mahajan
AU  - Makarand Shahade
AU  - Priyanka Kachave
AU  - Rahul Suryawanshi
AU  - Prachi Patil
AU  - Shubhangi Patil
PY  - 2025
DA  - 2025/11/04
TI  - Blood Donation Application Using Machine Learning
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 854
EP  - 860
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_72
DO  - 10.2991/978-94-6463-858-5_72
ID  - Mahajan2025
ER  -

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