AN ARTIFICIAL INTELLIGENCE BASED BLOOD DONATION SYSTEM USING NATURAL LANGUAGE PROCESSING FOR EMERGENCY BLOOD AVAILABILITY

Abstract

Blood availability during emergencies is a critical challenge, and existing blood donation systems often fail to provide timely assistance. Traditional physical methods require blood seekers to visit blood banks in person, which is time-consuming and risky, particularly when immediate blood transfusion is required or when rare blood groups are needed in large quantities. Online blood donation systems offer an alternative; however, they still involve manual searching, user registration, form filling, and repeated attempts if the required blood is unavailable. These processes increase response time and demand a certain level of digital literacy. In this work, we propose an Artificial Intelligence based blood donation system that improves efficiency and accessibility by using Natural language Processing. Instead of filling out forms, the blood seeker simply sends a text message describing their requirements. The system intelligently extracts key information such as a name, blood group, required quantity, location, and contact number from the message. Based on this extracted data, the system automatically searches nearby blood banks and identifies the best available match. The seeker is then informed promptly, significantly reducing delays. This Artificial Intelligence driven approach ensures faster response, ease of use, and improved support during medical emergencies.