Project UV - UV Index Data Mining and Health Impact Study

Project UV is a data-mining project focused on UV index behavior and its effects on health and environment. The repository combines exploratory notebooks, modeling scripts, and a lightweight web layer for prediction workflows.

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Core Scope

• UV trend analysis across Algeria and multiple countries
• Health correlation studies (melanoma, sunburn, risk patterns)
• Race/country/environment comparisons and temporal analyses
• ML-based risk classification and assessment experiments

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Main Assets

• Notebooks: *.ipynb (EDA, risk, cancer, sunburn, ocean/environment)
• Data folders: data/ (country, race, health, environmental sources)
• Python utilities: utils/, main.py, update_notebook.py
• Outputs: output/ charts and generated analysis artifacts
• Web module: web/frontend + web/backend

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Quick Start

pip install -r requirements.txt
python main.py

For notebook-driven analysis, run the relevant notebook files directly in Jupyter.

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Notes

• Some folders include large experimental artifacts and backups (backup/, tmp/).
• Prefer using curated notebooks (eda.ipynb, risk_classification.ipynb, cancer_assessment.ipynb) as entry points.