Parkinson’s Disease Detection using TensorFlow

Parkinson’s disease is a degenerative neurological disorder that affects millions of people worldwide. Early detection of Parkinson’s disease can help improve treatment outcomes and quality of life for patients. Spiral drawings are commonly used to assess motor function in Parkinson’s disease patients. In this project, I propose a deep learning-based approach for Parkinson’s disease detection using spiral images. A deep learning model achieves high accuracy and low loss in distinguishing Parkinson’s disease patients from healthy controls. In conclusion, this approach has the potential to be used as a screening tool for Parkinson’s disease in clinical settings.