Smart Dosing: Harnessing AI for Alum dosage Predictions in Water Treatment

Water treatment methods, such as coagulation, flocculation, and sedimentation, play a crucial role in maintaining water quality. However, these methods encounter limitations due to the increasing pollution stemming from household, agricultural, and industrial waste. In response to this issue, our study delves into the exploration of advanced machine learning algorithms (SVM, MLR, RFR) for a comprehensive analysis of water. The findings from our research contribute to the development of an innovative laboratory treatment plant designed to mitigate the environmental impact caused by water pollution.