  In this era, the moment has arrived to move away from disease as the primary
emphasis of medical treatment. Although impressive, the multiple techniques
that have been developed to detect the diseases. In this time, there are some
types of diseases COVID-19, normal flue, migraine, lung disease, heart disease,
kidney disease, diabetics, stomach disease, gastric, bone disease, autism are
the very common diseases. In this analysis, we analyze disease symptoms and
have done disease predictions based on their symptoms. We studied a range of
symptoms and took a survey from people in order to complete the task. Several
classification algorithms have been employed to train the model. Furthermore,
performance evaluation matrices are used to measure the model's performance.
Finally, we discovered that the part classifier surpasses the others.
