Heart Disease Prediction with Hyperparameter Analysis

I propose to develop an application which would be able to predict whether someone would be suffering from a coronary heart disease in the coming years. I propose to develop a simple user interface through which the user would just need to answer certain questions which would be provided to the Machine Learning Model as an input and the prediction would be provided to the user on the interface itself. Since this interface is a ready-to-use interface, there is no need for the user to create an account or sign-up. The questions being asked here to relate to the information obtained from the tests which the user might have undergone, or the user might simply be aware of the information about himself in general. The Machine Learning model is created from the algorithms which are highly effective and could be used to deploy in the real-world scenario. While executing the program, the interface program predicts through the machine learning model which has been trained on similar kind of data. However, at this stage, this project is meant for educational purpose only with a real aim of being deployed into the real-world. This project is also helpful in processing the claims for the company because many companies tend to provide medical and insurance loans and this project can help them in custom analysis for the certain situations.