Treffer: Machine Learning-Driven Weather Prediction and Data Analytics for Mitigating Disruptions In International Cricket Events in Pakistan.

The forthcoming ICC Champions Trophy in 2025, scheduled to take place in Pakistan, presents prominent logistical difficulties due to climate variability. Precise weather predictions are crucial for avoiding interruptions and confirming smooth event organization, particularly for outdoor games. This research paper highlights the implementation of machine learning techniques and applying data analytics to forecast weather conditions, concentrating mainly on precipitation, in three key Pakistani cities: Karachi, Lahore and Rawalpindi. The dataset is fetched from free weather API from Open-Meteo, integrated real-time weather information with historical climatic conditions for past years. Python-based libraries are used to predict weather conditions in upcoming series. These forecasts are subsequently shown via interactive dashboards using Power BI, offering key stakeholders' practical insight through dashboards into weather patterns relevant to the event schedule for the matches. [ABSTRACT FROM AUTHOR]

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