https://github.com/neelanjan00/parkinsons-detection

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 deployed using a Flask backend server, along with a Flutter based frontend mobile application frontend to interact with the REST API.
https://github.com/neelanjan00/parkinsons-detection

computer-vision flask machine-learning parkinsons-disease python

Last synced: 3 months ago
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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 deployed using a Flask backend server, along with a Flutter based frontend mobile application frontend to interact with the REST API.

• Host: GitHub
• URL: https://github.com/neelanjan00/parkinsons-detection
• Owner: neelanjan00
• Created: 2020-06-15T20:53:13.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2023-02-16T01:42:27.000Z (almost 2 years ago)
• Last Synced: 2024-10-11T12:50:53.335Z (3 months ago)
• Topics: computer-vision, flask, machine-learning, parkinsons-disease, python
• Language: Python
• Homepage:
• Size: 530 KB
• Stars: 8
• Watchers: 4
• Forks: 0
• Open Issues: 3
• Metadata Files:
  • Readme: README.md

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README

        


Welcome to Parkinsons AI 👋



  

  

    

  



>[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.

### 🏠 [Homepage](https://github.com/neelanjan00/Parkinson-s-Detection)

## Install

```sh

pip install -r requirements.txt

```

## Usage

```sh

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**

* Website: https://neelanjanmanna.ml/

* Twitter: [@NeelanjanManna](https://twitter.com/NeelanjanManna)

* Github: [@neelanjan00](https://github.com/neelanjan00)

* LinkedIn: [@neelanjan00](https://linkedin.com/in/neelanjan00)

## Show your support

Give a ⭐️ if this project helped you!