S SANDHYA, G SARITHA, R SATEESH, B BHARATHI 01 01 The Internet of Things IoT is the community ofphysical devices vehicles domestic appliances and different itemsembedded with electronics software sensors actuators andconnectivity which allows these matters to join andexchange data The range of IoT units has improved 31yearoveryear to 84 billion in 2017 and it is estimated thatthere will be 30 billion units by way of 2020 Water air pollution is amajor environmental hassle in India The greatest supply ofwater air pollution in India is untreated sewage Other sources ofpollution encompass agricultural runoff and unregulated smallscale enterprise that consequences in polluting most of the rivers lakesand floor water in India In this paper An IoT Based SmartWater Quality Monitoring System the usage of Cloud and DeepLearningisproposedto display the nice of the water inwaterbodies In traditional systems the monitoring processinvolves the guide series of pattern water from variousregions observed via laboratory checking out and analysis Thisprocess is ineffective as this manner is hard and timeconsumingand it does no longer grant realtime results Thequality of water need to be monitored continuously to ensurethe secure provide of water from any water our bodies and waterresources Hence the layout and improvement of a lowcostsystem for realtime monitoring of water fine the use of theInternet of Things IoT is essential Monitoring water qualityin water our bodies the use of Internet of Things IoT helps incombating environmental problems and enhancing the healthnd residing requirements of all dwelling things The proposedsystem video display units the exceptional of water relentlessly with the helpof IoT devices such as ARDUINO UNO The inbuilt WiFi moduleis connected in ARDUINO UNO which permits web connectivitytransfers the measured statistics from sensors to the Cloud Theprototype is designed in such a way that it can screen thenumber of pollution in the water Multiple sensors are used tomeasure quite a number parameters to determine the great of water fromwater bodies The outcomes are saved in the Cloud deep learningtechniques are used to predict whether or not the water appropriate ornot Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved 2026