Artificial Intelligence-Powered Blood Donor Management System with Screening for Eligibility and Emergency Response

Preethi V ,Monisha R , Rajabhuvaneshwari S
Department of CSE Dr. M. G. R Educational and Research Institute, Institute, Maduravoyal, Chennai
preethivenkateshandec007 @gmail . com
Mail : monishamonisha26941@gmail.com
Mail : bhuvisubash@gmail.com
Dr. S. Akila
Professor,
Department of CSE
Dr. M. Nisha
Assistant Professor,
Department of CSE
Dr. M. G. R Educational and Research Institute, Dr. M. G. R Educational and Research Institute, Maduravoyal, Chennai
Maduravoyal, Chennai
Mail : akila.cse@drmgrdu.ac.in
Mail : nisha.cse@drmgrdu.ac.in

Abstract— Blood donation is a vital healthcare activity, but the detection of suitable donors in emergency situations is a major problem. In this context, the present paper proposes a blood donor management system based on artificial intelligence technology. The proposed system includes various features such as rule-based blood donor eligibility, intelligent search of donors, and emergency notification systems. The proposed system was created using the Flask framework and the SQLAlchemy library, which provides a structured database of donors with location-based mapping to efficiently locate donors. The proposed system determines the eligibility of donors based on various medical parameters such as weight, health, age, and blood donation intervals, with the help of GT technology to provide betterexplanations to donors. Additionally, the proposed system includes a natural language search facility to find donors based on blood groups and locations. In emergency situations, the proposed system provides personalized artificial intelligence-based notification to donors to contact the donors. Interactive geographic visualization is also provided to make the proposed system more accessible. The proposed blood donor management system based on artificial intelligence technology has the potential to provide better services to the blood donation community.