Among the most fundamental and fundamentally important medical tests is blood typing. Worldwide, blood typing is among the most used diagnostic procedures. It is a prerequisite for every significant medical operation, including blood transfusions. Despite the test's apparent simplicity, even a little mistake might have devastating consequences, including even death. It is still possible to get someone's blood type using an antiquated, error-prone analogue approach, even in this day and age. To get over this problem, this research explains a novel way to find out someone's blood type by using image processing methods. Most mistakes in blood type determination stem from missing signs of reagent agglutination in the blood sample. In this work, we focus on a method that can identify agglutination in blood tests by analysing test images and identifying the blood type according to whether reagents agglutinate or do not when mixed with blood.