Review on Development of Blood Management System Application Using Machine Learning Techniques

The Blood Management System application aims to address the growing demand for blood due to increased transfusion needs from accidents, surgeries, and diseases. This project proposes a comprehensive design and implementation of a blood bank and pathology lab management system utilizing machine learning techniques to predict the availability of blood donors accurately. By forecasting donor trends, medical professionals can effectively plan for future blood supply needs and encourage voluntary donations. The system facilitates efficient management of blood samples, donor information, and inventory records, allowing for seamless tracking of blood types and nearby blood banks. Developed using Flutter SDK, the application provides an intuitive interface for users to manage blood donations and monitor inventory levels, ultimately enhancing the overall efficiency of blood banking operations.