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digital-health-data

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Digital Health and Human Behaviour course project that investigates the possibility of inferring sleep stages from accessible, non-invasive wearables. The study includes an Exploratory Data Analysis (EDA) and evaluates Machine Learning models, including Logistic Regression and Random Forest.

  • Updated Apr 13, 2026
  • Jupyter Notebook

Computer vision and NLP system that analyzes artwork for mental health assessment and generates therapeutic art exercises using generative AI.

  • Updated Nov 9, 2025
  • Python

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