Reliable Water Quality Prediction And Parametric Analysis Using Explainable Ai Models

This article discusses the use of Artificial Intelligence (AI) and Explainable AI (XAI) in automating the estimation of water quality. Various Machine Learning (ML) models are used to classify whether water is drinkable, and XAI is used to explain the reasoning behind the classification. The proposed work aims to provide transparency and justifiability in water quality estimation, which is essential for managing the purity and safety of water.