Beachwatch swim sites with pollution forecasts and latest water quality, New South Wales

This project presents a step‑by‑step framework for analyzing and predicting coastal water quality using the New South Wales Beachwatch dataset. Keeping beaches safe for swimmers depends on fast, accurate forecasts of pollution to reduce health risks from microbes. The work offers guidance and practical help for building predictive models that combine past water‑quality measurements, location data, and daily pollution forecasts for many swimming sites. By organizing a systematic review of the 246 monitored locations, the project steers the creation of statistical and machine‑learning forecasting models. The approach zeroes in on important environmental factors—like rainfall and stormwater runoff—that are linked to higher pollution levels. Careful data cleaning, feature engineering, and model

testing form the backbone of the framework, enabling engineers to develop reliable prediction tools. In the end, the project supplies detailed documentation and component advice so researchers can assess how accurate public pollution alerts are, improving the dependability of proactive coastal‑zone management.

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