Emotional speech and adverse social effects, such as stigma, dehumanization, and loneliness, are the main issues with Parkinson’s disease. This has a significant impact on the way of life of those who have Parkinson’s disease. The slow death or destruction of brain neurons is one of the known causes of Parkinson’s disease. As a result, dopamine is produced in the brain as a chemical messenger. Dopamine deficiency results in typical brain activity and a variety of modifications in how the body moves. Parkinson’s disease (PD) is mostly recognized by its signs and symptoms, such as a little tremor. Body movement is slowed down by tremors. Rigid muscles in this body weaken and lose automatic movements like blinking and smiling, which are additional symptoms. Previous researchers are still working on this problem, but they are having trouble using the right techniques to solve it. The suggested work utilized the MATLAB environment to develop three machine learning algorithms. The outcome indicates that the KNN algorithm has the highest accuracy in detecting Parkinson’s illness.