The client is one of the leaders in the healthcare industry and wanted to do something significant for those suffering from Parkinson's disease. The inconvenience the patients and their family members face in regularly visiting the clinics to detect the disease gave birth to an innovative idea - a wearable device that will prevent these visits and collect data in a simple way. This revolutionary idea is bound to increase the early detection of this disease and aid patients and doctors in battling it.
Our client is a top company that makes wearable devices. It wanted to make software to help identify people who are at risk of Parkinson's disease (PD) by collecting medical data. Generally, diagnosing PD is difficult and requires regular visits to the clinician. We wanted to make the process easier for the user. We created a model that would collect the voice recordings of the user and analyze them with machine learning algorithms. We developed various models using different techniques to increase the accuracy. In the end, this device was able to improve research on PD, and 13% of people were treated at the right time with its help.
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