[This is the backend API of the project, the frontend mobile app can be found here] Project descriptionAn AI based mobile application which is able to diagnose the Parkinson's Disease using two independent tests that require only a pencil and a paper. Based on 2017 research paper Distinguishing Different Stages of Parkinson's Disease Using Composite Index of Speed and Pen-Pressure of Sketching a Spiral by Zham et. al. The trained models were deployed using a Flask backend server, along with a Flutter based frontend mobile application frontend to interact with the REST API.
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pip install -r requirements.txtpython app.py| Route | Method | Field Name | Input Type | Returns |
|---|---|---|---|---|
/spiral |
POST | InputImg | Image File (png or jpg or jpeg) | Returns the string "Healthy" or "Parkinson's Disease". |
/wave |
POST | InputImg | Image File (png or jpg or jpeg) | Returns the string "Healthy" or "Parkinson's Disease". |
👤 Neelanjan Manna
- Website: https://neelanjanmanna.ml/
- Twitter: @NeelanjanManna
- Github: @neelanjan00
- LinkedIn: @neelanjan00
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