Blood Management System

The Cloud Based Blood Management System with Real-Time Donor Tracking Using OPTICS Algorithm is developed to overcome the limitations of traditional blood donation and management systems by leveraging cloud computing and intelligent clustering technologies. Existing systems are often hindered by inefficient donor tracking, lack of real-time updates, and delays in emergency response. Additionally, manual donor self-registration can lead to unverified health data, duplicate entries, and unreliable donor databases. Blood banks frequently face challenges in maintaining optimal inventory levels, which can result in critical shortages or wastage. To address these issues, this project introduces an intelligent, cloud-based platform that integrates the OPTICS (Ordering Points To Identify the Clustering Structure) clustering algorithm for advanced donor selection. The use of a cloud server ensures centralized data access, real-time updates, scalable system performance, and secure storage, enabling hospitals and blood banks to manage donor and inventory data efficiently from any location. Unlike conventional systems, donors cannot self-register; they must undergo mandatory medical screening at hospitals or blood banks before being added to the system. When a hospital raises a blood request, the system first checks the cloud-hosted blood inventory database. If the requested blood type is unavailable, the OPTICS algorithm is triggered to identify and cluster nearby eligible donors based on proximity, availability, and last donation date. Furthermore, the integration of the Google Maps API enables real-time visualization of donor clusters, allowing hospitals to quickly locate suitable donors. Selected donors receive instant notifications through SMS or push alerts, facilitating fast responses during emergencies. By combining cloud computing, AI- driven clustering, and geolocation-based mapping, this system provides a modern, structured, and efficient solution to blood management