Machine Learning approaches has the ability to make the system to learn by itself to solve many real-world problems. In the present decade, it has changed the prospects of computing to apply every other field to work it as a transdisciplinary field. On the other side, medical applications are one of the critical areas that need to be dealt with utmost care and importance and always there are plenty of open issues that have to be addressed. Blood transfusion is a critical process as many times the survival of mankind requires this an emergency. To make this process a simple one, machine learning approaches can be utilized. In this paper, an automated blood donation system is proposed to ease the emergency situation. For choosing the best algorithm, various machine learning algorithms are considered and the best one will be chosen among that to make this system to work as perfect as possible. The final result comparison will be presented in this paper to justify the chosen algorithmic approach. © 2019 IEEE.