This repository contains a machine learning model to predict Parkinson's Disease based on handwriting characteristics associated with micrographia.
Parkinson's Disease is a neurodegenerative disorder that can be characterized by motor symptoms such as tremors and bradykinesia. Micrographia, a condition where handwriting becomes small and cramped, is a common early sign of Parkinson's. This project aims to leverage machine learning to predict the likelihood of Parkinson's Disease based on handwriting samples.
- Python 3.7+
- NumPy
- Pandas
- Scikit-learn
- TensorFlow
- Matplotlib
- Clone this repository:
git clone https://github.com/yourusername/parkinsons-micrographia-prediction.git