Parkinson's Py-agnosis

Using five various machine learning models, our most powerful model utilizes a weighted voting system to determine the status of patients with suspected Parkinson's Disease through analyzing their voice data.

The optimized web API version brings a more efficient and concise version to consumers in an easily-digestible method.

Our CodeDay Labs team had minimal experience with machine learning. All of the code created was original.

Creating an optimized UI system and web API function proved difficult for the complexity of the model, the dataset, and the acoustics data being processed.