RedPulse: A Location-Based Emergency Blood Management System

Packialatha, A and Santhosh, M and Bhavna, M (2026) RedPulse: A Location-Based Emergency Blood Management System. International Conference on Innovations in Artificial Intelligence and Data Science . New Prince Shri Bhavani College of Engineering and Technology, CHENNAI. ISBN 978-93-5592-844-3

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Abstract

The quick availability of matching blood is very important in emergency medical care, but
many current blood management systems have problems like slow coordination, no real-time way to
find donors, and no health checks for donors. This paper introduces RedPulse, a new emergency blood
management system that uses location data and health analysis along with a chatbot and a reward system
to make the process more efficient, safe, and encouraging for the community. RedPulse allows hospitals
and patients to create urgent blood requests by stating the blood type, how fast they need it, and where
they are. The system uses location-based matching to find nearby donors and blood banks instantly,
which helps in emergencies. It also has a health analysis feature that checks important medical details
like blood pressure, sugar levels, weight, age, and how long it has been since the last donation to make
sure the blood is safe and reliable. In addition, a smart chatbot helps users by explaining if someone is
eligible to donate, showing how much blood is available, and giving health tips for donors with certain
medical issues. To keep people involved, the system offers rewards like points or cashback to donors

and blood banks when they successfully give or supply blood. The system is built using a layered web-
based design that includes the user interface, server side, database, location tools, analytics, and

notification features. Testing shows that RedPulse works better than old methods by making responses
faster, ensuring donor safety, and increasing participation. RedPulse is a helpful and practical solution
that supports emergency healthcare effectively.

Item Type: Book
Subjects: Computer Science Engineering > Business Intelligence
Domains: Computer Science Engineering
Depositing User: IR Admin
Date Deposited: 07 Sep 2026 17:35
Last Modified: 08 Sep 2026 06:42
URI: https://ir.vistas.ac.in/id/eprint/22859

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