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An AI-based mobile application that is able to diagnose Parkinson's Disease using two independent tests that require only a pencil and a paper. Based on the 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 deplo…

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neelanjan00/Parkinsons-Detection

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Welcome to Parkinsons AI 👋

Version Twitter: NeelanjanManna

[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.

Install

pip install -r requirements.txt

Usage

python app.py

API Routes

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".

Author

👤 Neelanjan Manna

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About

An AI-based mobile application that is able to diagnose Parkinson's Disease using two independent tests that require only a pencil and a paper. Based on the 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 deplo…

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