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Paper Title : DRINKING WATER QUALITY DETECTION USING MACHINE LEARNING TECHNIQUES

ISSN : 2395-1303
Year of Publication : 2022
10.5281/zenodo.7296073

Authors: Dr.SubbaReddy Borra, G.Deepika, G.Keerthika, B.Smruthi

         


Abstract
One of the global hazards mentioned by the World Economic Forum is the drinking water issue, which results in the deaths of about 200 children every day. Drinking tainted water contributes to the deaths of over 3.4 million people annually. There aren't enough quality measures available to evaluate drinking water quality despite technical advancements. This paper proposes a low-cost water quality monitoring system that can replace the traditional technique of quality monitoring by utilising cutting-edge technology like Machine learning, with the aforementioned challenge serving as its main point. This guards against a variety of serious illnesses, including fluorosis and bone deformities, among others, for people living in rural areas.

Reference
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Keywords
— Water quality monitoring, Machine learning, MQTT, Rural Development,RandomForest.