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parkinson.ai

A web application that predicts the probability of having parkinson's disease or not using user's audio.

Background : The application uses a machine learning model trained on a UCI ML Dataset Repository dataset and it predicts what is the probability of the user having parkinson's disease.

About the Disease:

Parkinson's disease is a progressive nervous system disorder that affects movement. Symptoms start gradually, sometimes starting with a barely noticeable tremor in just one hand. Tremors are common, but the disorder also commonly causes stiffness or slowing of movement.

Note: use .wav 24 bit audio files, you can convert the audio files online

local usage:

  1. clone the repository locally

  2. install all the required packages named in backend/required.txt file

  3. start the backend server in the backend directory using command 'python3 app.py'

  4. install npx and other node modules

  5. start the client in the fronted directory using the command 'npm start'

Information about the application:

Each directory contains its own readme.md file, check it out for more information.

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A web application that can detect whether the user has parkinson's disease or not using their audio

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