The project is aimed at early prediction of Parkinson’s disease through computerized analysis of online handwriting. While a number of clinical evaluations are carried out to diagnose the Parkinson’s disease, most of these tests are effective only once the disease is at a relatively advanced stage. Studies have shown that analysis of handwriting can be used as a valuable tool for prediction of Parkinson’s disease at very early stages. A number of online as well as offline attributes of handwriting are being investigated to study the correlation between writing behaviors and Parkinson’s disease.