Parkinson's disease detection system using python This project aims to detect Parkinson's disease using a machine learning model based on a dataset of medical features. The system analyzes input data provided by users and predicts the likelihood of Parkinson's disease. It is developed with a Python-based backend that processes the data and a frontend interface that allows users to submit their data for analysis.
Installation Clone the repository: git clone https://github.com/yourusername/parkinsons-disease-detection.git cd parkinsons-disease-detection
Create and activate a virtual environment:
python -m venv venv
source venv/bin/activate # On Windows use venv\Scripts\activate
Install the required dependencies: pip install -r requirements.txt
Run the application: python app.py