AI-Driven Blood Bank Management System: Improving Blood Supply Chains with Smart Technology
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AI-Driven Blood Bank Management System: Improving Blood Supply Chains with Smart Technology
Ms. Sanika Lakade
MCA, JSPM University, Pune, Maharashtra, India
sanika.lakade2002@gmail.com
Dr. Manisha Kshirsagar
Mentor, Assistant Professor, JSPM University, Pune, Maharashtra, India
Dr. Arshiya Khan
Program Coordinator, JSPM University, Pune, Maharashtra, India
Dr.Rajkumar Deshpande
Dean, JSPM University, Pune, Maharashtra, India
ABSTRACT
Blood banks play a crucial role in saving lives, yet they face major challenges such as shortages, wastage, and inefficient donor management. Traditional blood bank systems rely on manual tracking, which can lead to delays in emergencies. This paper explores how Artificial Intelligence (AI) can enhance blood bank operations through demand forecasting, donor classification, real-time inventory management, and blockchain security. By implementing machine learning models to predict blood demand and using AI-powered donor engagement systems, we can improve efficiency and save more lives. The study presents a smart blood bank system that integrates AI, predictive analytics, and real-time alerts to optimize blood supply management.
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