Application of Machine Learning Methods for Solving Problems of Body Part Identification to Compare the Desired Level of Pain

The purpose of this work is to write an application that detects a part of the body using a neural network and gives out the level of pain when tattooing this limb. According to statistics, in every country from 10 to 20 percent of people believe that a tattoo is painful, so they are afraid to do it. The app will help them choose the least painful place. We use an application that basically contains a convolutional neural network and the Tkinter and ImageAI library.