Published Paper Details:

Water is a necessary nutrient and plays a crucial role within the physical body. Pure drinking water is the source of all body fluids including blood, lymph, saliva, digestive enzymes, urines, etc. So, the right monitoring of water is much important for safe, pure and hygienic water. Source of water in most households is their wells. Therefore, testing our well water quality on a day to day basis is vital for maintaining a secure and reliable source of drinking water. The test results allow us to properly define the issues of a water system. This helps us to make sure that the water source is being properly shielded from potential contamination, which appropriate treatment is chosen and operating properly. The purity of drinking water is important for each and every one all over the planet, and today this is often a well-known problem due to many water prone diseases like cholera, diarrhoea etc. But the diseases that causes hormonal imbalance, genital disorders and tooth decay cannot be recognized through mere symptoms. So, the paper aims for solving these problems. The water samples are monitored in order to obtain the contents. Those contents are then used for purity prediction using machine learning algorithms. The results are then analyzed and checked for all the diseases which will be caused by drinking that water. The individuality is to get the water monitoring system which may be used at any home for domestic purpose. It can focus various regions that are suffering from disasters like landslides and floods. Because in such areas the water content varies and drinking that water can cause diseases that can't be recognized through mere symptoms. Main aim is to decrease the amount of living beings suffering from the harmful effects of polluted water.