Water Quality Analysis and Prediction of Potability

This study delves into an extensive analysis of water quality parameters from diverse sources, aiming to develop predictive models for assessing water potability. Encompassing various physicochemical and microbiological factors, the research utilizes statistical and analytical methods to discern temporal trends and spatial patterns. Employing machine learning algorithms trained on historical data, these models incorporate meteorological and hydrological variables to accurately predict water potability, offering valuable insights for efficient water resource management and public health enhancement.