Neurological diseases are risky if the symptoms are not detected. It is important to detect the symptoms accurately at an
early stage. Parkinson’s disease (PD) is a significant nervous system disorder affecting ten million people worldwide. Parkinson
disease’s can be identified by three characteristics: speech, memory and movement disorder. Speech and memory data is used to
predict the presence of the disease. Movement disorders are a less reliable resource for detection. Collection and processing of
speech data are less intensive