Parkinson’s disease (PD) is a neurodegenerative disease with no cure till date. Besides its characteristic motor symptoms, numerous non-motor symptoms have been reported to occur in the course of the disease. Parkinson’s disease is also known as hypokinetic stiff syndrome in which loss of neuron in a region of brain called as substantia Nigra affects the motor neurons of central nervous system and this neurons are responsible for synthesizing the neurotransmitter dopamine which leads to many symptoms. To obtain a definitive diagnosis, the patient’s medical history is analysed and the subject need to submit a series of clinical exams. In this study, we analyse different techniques to detect parkinson’s diseases such as Breathing pattern, Handwriting Analysis, Hand Tremor, Freezing of Gaits. Recent research work indicates that Paxrkinson’s diseases can be effectively diagnosed at an early stages by measuring the changes in handwriting. By analyzing various symptoms Parkinson’s diseases can be predicted.