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Cardio Vascular disease is one of the world's most deadly issues because it can't be seen by the naked eye and strikes suddenly.It will made a extensive hit once its limits are reached. As a result, it necessitates a precise diagnosis in a precise time. The health-care industry produced a massive amount of data daily about the patients and their illnesses. This information, however, needs a systemic algorithmic approach for finding a solution. In reality, researchers and medical practitioners have found that it is very effective. Today's health-care system Industry has a lot of data, but it doesn't have a lot of expertise. Due to the advancement in the field of computing there are several techniques and software related to the field of data mining and machine learning. It collects useful information from databases and to put the information to good use in order to make more correct diagnoses and decisions. It has become crucial to focus on heart disease prediction systems as it instantly made an attack and keep the patients hand closed.This research paper's important aim is to utilise recent results with the outcome of a novel method to predict the cardio vascular disease prediction as well as to draw analytical conclusions . According to the findings of the study, soft computing techniques plays a vital role in predicting the above said disease and in this paper it is implemented in a novel way.