Water Quality Analysis and Prediction using Machine Learning

Abstract

The main objective of this research is to estimate the water quality using machine learning technique. Water is considered as a vital resource that has an impact on many facets of human health and existence. People who live in metropolitan areas are often concerned about the quality of the water as it is critical to monitor the quality of water. Water sample collection and laboratory analysis are time and resource-intensive processes. Analyzing water quality is a complicated subject because of the many variables that affect it. This concept is inextricably linked to the various purposes for which water is used. The goal of this study is to estimate water quality by acquiring several parameters, and using the machine learning method, Random Forest regression. In this case, the model uses parameters like pH, turbidity, dissolved oxygen, conductivity, and others.