Machine Learning for Enhanced Weather Forecasting in Urban Environments

This paper aims to revolutionize weather forecasting by exploring the potential of machine learning algorithms to achieve more accurate predictions. The focus is to leverage historical patterns and real-time meteorological data to enhance the precision of short-term and long-term weather forecasts. Through strategic deployment of IoT -enabled weather sensors and sophisticated data analysis techniques, the objective is to demonstrate the efficacy of machine learning in improving weather prediction accuracy, paving the way for more reliable forecasting methods in the future.