A systems-level analysis engine that models sleep as a recovery debt process rather than a nightly outcome. Using physiological traits and ecological pressure signals, it estimates predicted sleep need, quantifies sleep debt, and visualizes how stress accumulates silently before visible fatigue or failure occurs.
python machine-learning data-visualization counterfactual-analysis sleep-analysis health-analytics early-warning-systems interpretable-ml systems-thinking streamlit research-prototype recovery-modeling physiological-debt stress-accumulation feature-decomposition preventive-analytics
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Updated
Dec 19, 2025 - Python