KNOWLEDGE DISCOVERY MODEL FOR WATER QUALITY PREDICTION USING MACHINE LEARNING

This paper presents a Water Quality Prediction Model that leverages machine learning techniques to assess and predict the quality of water based on various physicochemical parameters. The model utilizes historical water quality datasets to train predictive algorithms, enabling automated classification and forecasting of water conditions. Our approach aims to provide a cost-effective and efficient solution for real-time water quality monitoring, reducing dependency on manual testing methods. The experimental results demonstrate the effectiveness of the model in predicting water quality with high accuracy, making it a viable tool for environmental monitoring and public health safety.s