A Systematic Approach on Waste Water Treatment Using Predictive Analysis

Wastewater treatment is essential for maintaining public health and safeguarding water supplies. By removing dangerous bacteria from sewage, it helps to keep people healthy. In order to improve the efficiency of wastewater treatment, our study offers a systematic methodology that applies machine learning to a non-intrusive prediction model. The optimisation of control systems and of treatment processes like membrane filtration and chemical precipitation are crucial. We create predictive models to foresee changes in wastewater parameters, assisting with treatment optimisation and evaluating system performance.