Diseases Prediction based on Symptoms using Database and GUI

The healthcare field is one of the most essential areas of research in the modern period, thanks to rapid changes in technology and data. It's difficult to keep track of a large amount of patient records. The use of Big Data Analytics allows us to manage this content. Various ailments can be treated in a variety of ways all throughout the world. Machine Learning is one of the approaches for disease prediction and diagnosis. This study reveals how symptoms can be utilized as input parameters in machine learning to produce disease predictions. On the dataset, the machine learning technique Random Forest is used to forecast the disease. The predicted disease and the symptoms are stored on the database. It is implemented using the Python programming language, and a graphical user interface (GUI) has been created to dis play the findings. The Prediction of disease can be done by classifying the given dataset.