Artificial Intelligence Based Smart Water Quality Monitoring System with Electrocoagulation Technique

The paper focuses on the water quality improvement using AI that helps in removing the contaminants by creation of flocs because of electrocoagulation technique. The sensors installed on the water container helps in the understanding the quality of water and their sensed data are utilized for the AI based prediction of the electrical parameters for the approach of Electro coagulation method such as voltage and current. Also, the AI model involved in this project undergoes feedforward neural network for processing of data sets and undergo prediction of electrical parameters. This helps in the approach towards effective and accurate treatment of water containing contaminants.