Ground Water Quality Analysis with Real-Time Data Using Machine Learning

For the entire world Ground water is considered as the predominant source of water used for various purposes. As far as India is concerned 65% of its needs are satisfied by ground water. But it is polluted with improper disposal of solid and liquid substances which leads to the presence of heavy metals and noxious elements. Several technologies are used to envisage water quality. With respect to change in climate factor, change in temperature, heavy contamination the accuracy would not attain high. Hence it is decided to adopt Machine learning technique in order to predict standard of water quality. Different Algorithms are used to train the model and the accuracy of all algorithms is then compared to check which algorithm has the highest accuracy to predict the quality of the water.