All forms of life depend on water. The characteristics of water aid in regulating the variety, diversity, along with rate of succession of biotic elements. The deteriorating state of communal water resources such as lakes, streams, as well as estuaries is among the most serious and concerning problems facing humanity. The serious problem of heavy metal-induced water pollution, with a thorough monitoring and forecasting strategy presented. The growing danger to human health and ecosystems demands creative responses. In order to develop a real-time monitoring system, our project combines predictive modeling, data analytics, and advanced sensing technologies (ARIMA). We hope to foresee possible pollution events in addition to detecting and measuring heavy metal concentrations in water by utilizing these techniques. By being proactive, we can protect water supplies, minimize environmental damage, and make timely adjustments. The project’s results have the potential to improve the management of water quality and guarantee a sustainable and healthy future. Regression analysis, mean squared error, as well as root mean squared error are the metrics used to evaluate the efficacy of the constructed model. By being proactive, we can protect water supplies, minimize environmental damage, and make timely adjustments. The project’s results have the potential to improve the management of water quality and guarantee a sustainable and healthy future.