“BLOOD BANKING VIA CLOUD COMPUTING USING ML TRACKING THE REAL TIME LOCATION OF DONOR”
Keywords:Machine Learning (ML), Cloud Computing, Tracking
Blood banks play a vital role in hospitals and across the country, ensuring safe and timely blood transfusions. However, traditional paper-based blood bank management systems are inefficient, particularly during emergencies when fresh blood is urgently needed. Our projects main aim is to develop a digital blood bank management system that allows users to easily access information related to blood banks and their entities. This project aims in developing a cloud-based blood banking system and will also include tracking the locations of nearby blood donors as well as hospitals using ML. This system saves time to a great extent as a person does not need to go out in search of a blood bank. Many blood donation management system exist, but they do not incorporate real-time location tracking of blood donors using machine learning. In today’s busy world, finding willing blood donors can be challenging, particularly during emergencies when fresh blood is urgently needed. This system aims to explore potential of location-aware computing to track blood donors and identify the nearest available donor in case of emergencies or when fresh blood is required.