Millions of people worldwide have been affected by Parkinson's disease (PD), which is characterized by a loss of mobility and, as a result, the inability to work and move. Early detection of Parkinson's disease can help to cure it in time. A test that involves drawing a spiral on a sheet of paper could be used to detect Parkinson's disease in its early stages. Speed of writing and pen pressure while sketching are lower among Parkinson's patients, particularly those with a severe form of the disease.
The goal of this project is to develop an image classification algorithm to detect Parkinson's disease using images of spirals/waves/handwriting obtained during clinical exams and compare the results with other techniques that involve analysing the writing speed and pen pressure.
This project will involve research about the existing techniques on your part. In addition to this, you'll have to learn ML/DL concepts along the way to apply them for image classification.