Heart Diseases have been increasing at an alarming rate over the last couple of years, spanning from the elderly all the way to juveniles. This does call for a prevention, if not a cure. With that in mind, the proposed system is designed to boot a tool that avoids such calamities. Heart disease claims the lives of about one person every minute. In the sector of healthcare, data science is critical for analyzing enormous amounts of information. Because predicting cardiac disease is a difficult feat, it is necessary to automate the process in order to avoid the risks connected with it and to inform the patient well in advance. A cardiovascular disease prediction tool which, when provided due details, will predict the risk of cardiovascular disease on your behalf. It isn’t convenient to take expensive tests to find out whether you may be at a risk or not. Thus, the system is proposed as an application which will come in handy and is accessible at all times to the user which can predict the chance of a heart disease with a few details like age, sex, heart rate, etc. The ML Random Forest algorithm is proved reliable and accurate amongst various ML algorithms

Cardiovascular Disease, Random Forest, Decision Trees, Prediction