— In the critical domain of emergency blood transfusions, ensuring prompt access to blood products is contingent upon efficient blood bank management. Traditional blood donation centers often struggle with the unpredictability of donor availability, leading to critical shortages of stock precisely when they are most needed. The proposed work introduces a blood bank management system that is capable of utilizing machine learning algorithms to transfigure both efficiency and safety within blood banks.