Starter repository for learning how to make machine learning models with voice data.
Detecting Parkinson's Disease using Machine Learning classifiers on voiceprint recordings. Features comparative analysis of XGBoost, KNN, and SVM algorithms with >95% accuracy.
Revolutionary agentic AI-powered cognitive assessment that uses multiple collaborating AI agents to detect patterns invisible to traditional scoring — delivering up to 3× better sensitivity for early detection of cognitive changes.
Python toolkit for character-level Markov modeling and linguistic biomarker discovery in dementia
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