Published Paper Details:

Blood donation systems in many regions continue to face significant challenges related to timely donor-recipient matching, efficient communication, and accurate prediction of blood demand. This paper presents PulseMatch, a smart, web-based blood donation platform designed to address these issues using cloud technologies and machine learning. Developed with a React.js frontend and Firebase backend, PulseMatch facilitates seamless interaction between hospitals and potential blood donors. The system enables real-time donor registration, request submission, and intelligent donor matching based on blood group, location, and availability. In addition, machine learning modules are proposed for fraud detection and blood shortage forecasting to improve reliability and response times. PulseMatch integrates a scalable architecture that supports live data synchronization, automated alerts, and future extensions including mobile compatibility and explainable AI. This paper details the system design, implementation workflow, and integration strategy for intelligent automation in blood donation, demonstrating the potential to modernize and optimize healthcare logistics through data-driven approaches.