• Yash Maniar
• Abhishek Pandya

Internet of Things (IoT) has become a good part of human life where almost all of the things are becoming smart which is being used in our day-to-day life. We can see multiple examples of smart system like Smart TV, Smart Car, etc. Nowadays, we are making most of the process automated by collecting the essential information of the system and processing that information on cloud based system. Water is one of the key part of human life and out of 70% water available on earth only 2.5% is fresh which can be used for drinking and daily chores etc. So if we use our water smartly we will save a lot. Based on the statement, we are proposing our idea of differentiating the water based on quality so that we can use non-drinkable water in toilets, cleaning clothes based on the category of quality. We are making this system smarter by also detecting the level of water available in the tank and then predicting through data analysis when the tank will be emptied. We are using Ultrasonic sensor for detecting the water level which calculates distance by measuring the time taken by waves to travel back. For measuring the quality of water, we are using pH sensor and turbidity sensor. All these parameter are sent to micron-controller for processing and then this data is sent to cloud using Wi-Fi and on mobile/web server we can see the water level and quality. Real-time analytics is done for predicting the time when tank will be empty.

"WATER LEVEL AND QUALITY MONITORING WITH PREDICTIVE DATA ANALYSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.586-588, April-2019, Available :http://www.jetir.org/papers/JETIR1904F92.pdf

"WATER LEVEL AND QUALITY MONITORING WITH PREDICTIVE DATA ANALYSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp586-588, April-2019, Available at : http://www.jetir.org/papers/JETIR1904F92.pdf