This project uses time-domain EMG signal features to classify gender (male/female) via various machine learning models. It explores multiple resampling techniques (SMOTE, ADASYN, etc.) to handle class imbalance and compares model performance using cross-validation and test accuracy. Visual plots a

A blood pressure analysis system produced for a Digital Signal Processing course