Scikit-Longitudinal (Sklong) your tailored (health) Longitudinal machine learning library built on top of Scikit-Learn

Stress detection ML pipeline trained on the WESAD dataset. Extracts physiological features (HRV, heart rate, accelerometer, skin temperature) from wearable sensor data using 60-second sliding windows and classifies stress vs. non-stress with an ExtraTreesClassifier. Includes a FastAPI inference service for real-time predictions.