Diagnosis of diseases with great accuracy has always been one of the most important subjects in the healthcare sector. Machine Learning models can be employed to predict diseases with the advancement of technology. Image classification is a great example, to predict the possible underlying disease from the symptoms directly. A graphical user interface (GUI) based disease prediction system has been developed to make diagnoses from the user-provided symptoms. The dataset includes information on 132 symptoms and 41 disorders. It was determined that a combination of 3 machine learning models, namely the Logistic Regression, Support Vector Machine (SVM), and the Random Forest Classifier would provide the most accurate forecasts of the likely underlying disorders. For the data we have available now, this model performed flawlessly. The app’s graphical user interface (GUI) makes it simple for users to enter their symptoms and receive a prediction of their underlying ailment.