Diagnosing Parkinson's Disease from Voice Using Random Forest and Conversion in TensorFlow Lite
This project presents a machine learning system for diagnosing Parkinson's disease through voice analysis using Random Forest classification. The model achieved 92% overall accuracy and 97% recall for Parkinson's patients, with an AUC-ROC of 0.96...