Published Paper Details:

People today deal with a variety of diseases as a due to their lifestyle choices and the surroundings Disease prediction is an essential component of treatment. So, it becomes crucial to make disease predictions early on. The hardest task is making an accurate diagnosis of a disease. So, Machine learning is crucial in predicting the disease in order to solve this issue. The system proposed in this project uses the patient's symptoms as input to predict the disease and then recommends the right medication. This system takes the symptoms of the user from which he or she suffers as an input. We use Classification Algorithms for disease prediction and drug recommendation, such as Naive Bayes (NB) and Random Forest, with a variety of accuracy levels. Once the disease has been predicted by the system, then it is followed by recommending the appropriate medicine. In order to improve the capabilities of the current systems, this paper discusses about the creation of a system that serves the dual purpose of disease prediction and medication suggestion. To make it easier for users to engage with the symptoms, an interactive interface is designed as the front-end and the front-end is deployed by using Flask.