-3dc97f3d182b6b0ed3d-5757 20220924024818469 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 09 30 2022 11 10 Department of Computer Science and Engineering, Integral University, Lucknow (U.P), India. Sana Afreen Dr. Shashank Singh Assistant Professor, Department of Computer Science and Engineering, Integral University, Lucknow (U.P), India. Sarika Singh Department of Information Technology, Madan Mohan Malviya University of Technology, Gorakhpur (U.P), India Archana Dwivedi Department of Computer Science and Engineering, Bansal Institute of Engineering and Technology, Lucknow (U.P), India. Vipin Kumar Chaudhary Department of Computer Science and Engineering, Madan Mohan Malviya University of Technology, Gorakhpur (U.P), India. Water uses is increasing day by day. As development continues, the demand for water is increasing. Water is require for daily routine, for irrigation, for fish and wildlife and for industrial use, not only water but pure water is require. This is a helpful approach to make people or authorities aware and alert about water quality in real-time situation. In this paper, the proposed technology helps to monitor the water quality in real time situation or environment. The technology such as Internet of Things, Wireless Sensor Networkand Cloud Computingare used in this approach for water quality parameters (pH, minerals and Temperature) measuring in real-time environment. For water quality prediction and analysis, a training data set has been prepared and these training data sets use for categorize utility of water in different field. The sensor sensed the water parameters and send this sensed value to the cloud server for processing. These data compared with training data set. In this paper monitor data classify by using Naive Bayes and the utility of water can be predicted by Recurrent Neural Network. The resultant of this proposed approach are: it gives high accuracy and the response time of this approach is very less comparatively. 09 30 2022 37 42 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7663.09111022 https://www.ijitee.org/portfolio-item/k76630991120/