Water Quality Monitoring System Using IoT and Machine Learning

World Economic Forum ranked drinking water crisis as one of the global risk, due to which around 200 children are dying per day. Drinking unsafe water alone causes around 3.4 million deaths per year. Despite the advancements in technology, sufficient quality measures are not present to measure the quality of drinking water. By focusing on the above issue, this paper proposes a low cost water quality monitoring system using emerging technologies such as IoT, Machine Learning and Cloud Computing which can replace traditional way of quality monitoring. This helps in saving people of rural areas from various dangerous diseases such as fluorosis, bone deformities etc. The proposed model also has a capacity to control temperature of water and adjusts it so as to suit environment temperature. Based on our model we have achieved R-squared score of 0.933.