E-Blood Bank Analysis using Machine Learning

Abstract

In the modern era, with technologies updating at every instance, complexities have also risen at a rapid scale. It is very essential to keep the systems up to date with the latest upgrades so that the rising complexities could be prevented and nullified. But some organizations particularly in the government sector such as Blood banks are still operating on traditional systems which eventually lead in rising complexities in their data processing and resulting in an overall poor and very inefficient system. The Proposed system aims to resolve these issues faced by blood banks by shifting their traditional processes into digital technology which would not only provide a highly efficient method capable of resolving huge complexities but also the proper analysis of enormous data to achieve predictions which would help us to prevent future anomalies and medical emergencies occurring due to poor traditional data management and processing techniques .These prediction results would help to maintain a proper track record of future blood unit stock supply for the respective blood banks.