The goal of this project is to develop a Python library that supports the collection, preprocessing, harmonisation, and creation of analysis-ready datasets from outdoor webcam images paired with ground-based PM2.5 measurements and ancillary meteorological data. The library is designed to facilitate the development and benchmarking of predictive models for estimating PM2.5 concentrations from images
Languages: Python
Suggested SW/Libraries: Jupyter Notebook, scikit-learn, pandas, NumPy