The Disease Prediction System is a Machine Learning-based system that functions on the basis of the symptoms inputted by a user. In disease prediction, an algorithmic analysis is performed through the comparison of various sets of datasets on the basis of symptoms entered by the user. Nevertheless, it has been established that Machine Learning technology is highly effective as far as providing a limitless platform within the medical field is concerned, hence allowing healthcare problems to be resolved with ease. It is due to reliance on technological systems that many e-datasets are available in the healthcare industry. This has led to health care professionals facing complex situations in researching the signs and symptoms of diseases in order to diagnose illness effectively. In the situation of a severe illness, the conventional diagnosis process may not suffice. A medical diagnosis system can, therefore, be developed using machine learning (ML) algorithms for prediction purposes. Disease prediction model is constructed with the help of different ML algorithms. Training and Testing data sets are used for this purpose. According to the symptoms that individual has, the diagnosis system produces its output in form of diseases which an individual could have. Disease prediction with machine learning can be termed as a system that predicts the illness according to the input entered by individual into the system, which also suggests the cure of that particular disease. It is a tool that helps the user know how to maintain his health system through knowledge and tips on how to detect illness predictions. Using this method, by just asking questions of the symptoms experienced by the user and then diving into the software, in a few seconds, they will be able to diagnose precisely the exact diseases. The disease Predictions using machine learning have been completed using machine learning and python programming language with tkinter interface (UI). Data in the form of tabulated data is stored in SQLite Studio.