In the "Parkinson’s Disease Prediction with Vocal Data using Machine Learning" project, vocal features are analyzed to detect early signs of Parkinson's disease. By leveraging Random Forest and XGBoost algorithms, the model classifies vocal data to predict the likelihood of the disease.