Published Paper Details:

Water is one of the most essential key aspects of our lives because it is the most necessary thing for all the living things on our planet. Because there is no life without water, we use it for various purposes like cleaning, drinking, and many more. There is no life without water, and in that sense, drinking water is the most essential thing in our lives. Salts like magnesium, sodium, calcium, and potassium are the important salts that we need in our body to be healthy. If any one of those salts is not present in the water, it can cause a lot of health problems like typhoid, polio, cholera, etc. There are so many places where people drink this impure water and are suffering from this type of disease. They are drinking this water because they don't have enough knowledge about the water quality, so here we will focus on the water quality prediction. This paper suggests Ann, Random Forest, Propose an Adaptive Frequency analysis-based method for earlier prediction of water before drinking it. We predict whether the water is safe to drink or not so that people will be aware of it. This prediction process includes a data set that contains water quality parameters such as D.O(mg/l), PH, conductivity, Nitratio, Fecal Coliform, and Total coliform. And here, first, the data is imported, creating the main window, Defining global variables, Creating GUI elements, Functions for data processing, Configuring the main window, and running the application