Nowadays, kidney stone problems are frequent, as more people are suffering from acute discomfort caused by kidney stones. The main cause of this disease is a high level of unhealthy food consumption and a low level of water consumption. Most health problems can be avoided if we drink enough water, but in this fast-paced world, people often forget to do so. As a result, stone concerns have arisen and been discovered as stone sizes have grown greater. They employ coronal computed tomography (CT) scan results and other study data on the belly and thorax to determine the sizes of stones and detect them in hospitals. This could assist in locating the issues. They currently utilize a back propagation method to assist them spot problems with an accuracy of 85 percent. We suggested deep learning methods and approaches, which process training data and data sets with labels, to find a more accurate level than the previous one. To obtain an accurate result rate, a larger number of photos are compared and analyzed with the scanned images. The accuracy level has been raised to 97.6%. So that we can acquire reliable results and diagnose problems sooner. We can observe how deep learning works and how it handles urological difficulties in this paper.