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The basic purpose of our research is to identify location and size of stone in kidney that will assist for specialists in diagnosing and suggesting treatment. It will also save the radiologist time. There is a need of intelligent tool based on machine learning techniques that can identify the location and size of renal stone. \r\nI\'ve dataset of 78 kidney ultrasound images.. There will be two main classes i.e; normal and abnormal kidney. Firstly preprocesssing will be done on ultrasound images that convert images in gray-scale and re-size them. Then feature extraction technique will be applied. Artificial Neural Network will be used as a classifier to classify these classes.. After classification, the stone\'s location and size in abnormal images will be determine. To detect the location and size,image segmentation will be useful...or may be some other techniques..