The research project focused on the development of an advanced system aimed at predicting emergency department demand by considering various criteria such as weather conditions, seasonal patterns, and other relevant factors. The primary objective was to leverage historical data and predictive modeling techniques to forecast the expected influx of patients into emergency departments. By integrating weather data, seasonal trends, and other pertinent parameters, the system sought to generate accurate predictions that would enable healthcare facilities to proactively allocate resources and plan for potential surges in demand. The project aimed to bridge the gap between data-driven forecasting and emergency department management, empowering healthcare providers to optimize their staffing levels, streamline workflows, and ensure timely and appropriate patient care. Ultimately, the system aimed to enhance emergency department preparedness and improve overall patient outcomes

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