How Rainfall Affects Melbourne Public Transport: Predicting Congestion with Machine Learning

A transport analytics use case for the Melbourne Open Playground (MOP) project, examining the impact of weather conditions on public transport activity.

• Integrates Melbourne transport activity with BOM rainfall data.
• Built and maintained data pipelines to clean, integrate and transform transport, weather and event datasets.

• Performed EDA and developed data visualisations to uncover patterns and actionable insights.
• Trained and fine-tuned ML models to predict congestion.
• Built a RAG-style LLM explanation layer to translate predictions into natural language insights.

Delivered the completed solution to MOP's READY TO PUBLISH repository for integration and future use.