Myocardial Infarction (MI) or Acute Myocardial Infarction (AMI), commonly known as a heart attack, is the interruption of blood supply to part of the heart, causing heart cells to die. This is most commonly due to occlusion (blockage) of a coronary artery following the rupture of a vulnerable atherosclerotic plaque, which is an unstable collection of lipids and white blood cells in the wall of an artery. The resulting ischemia and oxygen shortage if left untreated for a sufficient period of time can cause damage or death (infarction) of heart muscle tissue (myocardium). Streptokinase (SK), a protein secreted by several species of streptococci can bind and activate human plasminogen. SK is used as an effective and inexpensive clot-dissolving medication in some cases of MI (heart attack) and pulmonary embolism. Though investigations on characterisation of MI blood and analysis on the efficacy of the drug Streptokinase have been done by many, not much work is done on automation of this investigation. The goal of this study is to train the prototype (Neural Network [NN]) to identify whether the given blood sample is MI blood or not and also to examine prospectively the effect of Streptokinase in MI patients using the prototype which is already trained to identify the MI blood.