According to latest survey of world health organization 77 million people face problem of unsafe water in allover the India. Despite the advancement in global technology, still there are not sufficient tools to measure the quality of water. Keeping in mind on this major issue we have proposed a model of water pollution detection system which is based on internet of things as well as it is cost efficient too. This model has capacity to measure and detect the pollution level as well as turbidity, temperature and many parameters. Turbidity measures the large no of suspended particles in water which is fully invisible and can’t be able to see with naked eyes. If water contains higher number of turbidity then it can cause various diseases like diarrhea, and cholera, while if turbidity is in low amount the water will consider pure and drinkable. PH is another important measure which measures the acidic and basic level of water. Temperature sensor measures the temperature of water that how much cold or hot it is.

Water quality monitoring, internet of things, rural development, machine learning, cloud computing, ESP8266, arduino micro-controller, RFID

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