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ABSTRACT
As we all know that there is a larger population, patients are in line at the hospital’s front for care. Smart health prediction is a framework in which this problem can be resolved by using machine learning algorithm. This is an informed health prediction system. Once the standard of medical information is incomplete, the accuracy of the
study will be reduced. Moreover, completely different regions have a distinctive appearance of bound regional diseases, which can lead to a weakening of the prediction of unwellness outbreaks. The patient provides symptoms in this model after that decision tree algorithm is used to determine the possible illness. This
framework is implemented by using flask for interface and decision tree algorithm. The analysis accuracy is increased by using Machine Learning algorithm. This framework also displays the specialist name after entering specialty and area. This framework help to patients to identify the disease as well as locate the doctors near-
by.
