The main aim of this project will be on employing neural networks to analyze cardiac disease. Patients will be divided into variable levels of coronary artery disease based on the factors such as blood pressure and other attributes. As a result, getting acquainted yourself with the data processing techniques appropriate for numerical health data and the most widely used algorithms for classification tasks is an extremely valuable use of your time, and we will do just that. Another goal of this project is to use neural networks to predict cardiac disease. Blood pressure, high cholesterol, and heart rate are all factors to consider. The most difficult problem in the medical industry is studying and diagnosing heart problems.