Lachesis-CAPRI

Exploring the relationship between air quality and respiratory-related hospital admissions in Australia.

Data: EPA Victoria Air Watch (hourly site data), AIHW respiratory statistics, optional WAQI/IQAir APIs
Tech stack: Python (pandas, numpy, scikit-learn), (optional) GeoPandas/Folium for maps, matplotlib
Key challenge: Merging spatial & temporal datasets and controlling for confounders

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Quick start

# 1) Clone
git clone https://github.com/ShevanW/Lachesis-CAPRI.git
cd Lachesis-CAPRI

# 2) Create env (pick one)
python -m venv .venv && source .venv/bin/activate        # macOS/Linux
# or
py -m venv .venv && .\.venv\Scripts\activate              # Windows

# 3) Install (edit requirements.txt as needed)
pip install -r requirements.txt