Authors : Shaba Irram; Neelam Chakravarti; Reetesh Gupta; S.M. Haider Rizvi; S. Pratap Singh

Volume/Issue : Volume 10 - 2025, Issue 2 - February

Google Scholar : https://tinyurl.com/5fpftjz9

Scribd : https://tinyurl.com/3e9wxu6c

DOI : https://doi.org/10.5281/zenodo.14908859

Abstract : The Parkinson's disease Detection System is a powerful detection method that can identify whether or not a person has Parkinson's disease. This paper's main objective is to develop a trustworthy system for diagnosing Parkinson's disease that can recognize the condition in a range of patients and enable them to get the help they require quickly. It is thought that if Parkinson's disease symptoms are identified early, a person can receive the necessary medication to keep the condition's negative effects under control. Tremor, sluggish movement, tight muscles, poor posture and balance, loss of instinctive motions, changes in speech or writing, etc. are just a few of the indications and symptoms of Parkinson's disease. Consequently, numerous techniques have been created to test the same for people. As a result, we are developing a detection system that uses several speech metrics to identify Parkinson's disease in a patient.

Keywords : Parkinson’s Disease, Speech Disorders, Dysphonia, Bradykinesia, Cross-Validation, SVM Classifier.

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