The article explores using machine learning to monitor the quality of drinking water in Abu Dhabi. Five different algorithms were tested, with Decision Tree proving to be the most accurate at predicting water quality levels. It showed 97.7011% accuracy, outperforming other algorithms like Logistic regression, Support Vector Machines, K-Nearest Neighbors, and Naive Bayes. This research aims to ensure high-quality drinking water for the residents of Abu Dhabi by effectively monitoring water quality.