Disease Prediction and Evaluation in Medical data upon suitable Drug Recommendation system

We live in such a hectic world that people don't even pay attention to their health when they are so busy. There are many people who are too busy at work to visit a doctor until their condition reaches a critical stage, due to the fact they are too busy at work. The behavior of this kind is unsafe for people and contributes to a large number of deaths every year because of it. In addition to that, they also take medicines without anyone recommending them to do so. The purpose of this paper is to predict the onset of the disease based on the symptoms of the individual. Moreover, it also recommends the drugs and specialists depending on the disease predicted by using the machine learning algorithms as well as recommending them based on the content-based algorithm based on the prediction. Through this project, we will be able to recommend a drug based on their age and level of activity, so that they consume fewer drugs as a result.