This repository contains a machine-learning model for predicting Parkinson's disease using an SVM classifier and a Streamlit web app to interact with the model.

• model/
  • trained_model1.sav: Trained SVM model for Parkinson's disease prediction
• app/
  • parkinsons prediction web app.py: Streamlit web app for interacting with the model
  • requirements.txt: List of dependencies required to run the app

• Load the SVM model using joblib or a similar library in Python.
• Run the Streamlit app locally using streamlit run app/app.py.

• Input the required parameters

• The WebApp displays the message after clicking the Predict Parkinson's button.

To run the Streamlit app, you need the following dependencies:

• List of dependencies from app/requirements.txt

This dataset was picked up from kaggle and can be accessed here: https://www.kaggle.com/datasets/gargmanas/parkinsonsdataset