Shounak Ray

There is significant financial and emotional loss associated with Parkinson’s disease, which currently has a misdiagnosis rate of over 30%. Shounak developed an efficient and accurate ML-based approach, with approximately 97% accuracy, by analyzing demographic, movement, and speech data. This new diagnostic tool was developed into a JAVA-based application, which has the potential to be integrated into a clinical environment in the near future.