YOLO: A way to identify gemstone and predict its relevant finger to wear.

It is essential to have happiness in life and if this happiness is due to everything related to us, then it becomes even more vital for us. We all humans do not want to see our happiness ever going away from us, no matter how much money has to be spent on it. According to the survey, many people in our society still believe in gemology and astrology and this research paper is more helpful for such types of people who are very curious to wear gems to get rid of problems in their life on their finger. The objective of this research paper is to provide the optimal solution to society for self-recognizing the gemstone itself by their live camera so they can know where it has to be worn. The proposed model is based on a deep neural network, the YOLO v5 model, which can identify the gemstone based on automatic feature extraction within a fraction of a second. The proposed model is 99% confident and ready to predict the relevant finger and its hand to wear the detected gemstone. It is hoped that this research will be successful in removing the problems related to identifying the gemstones for middle-class people and will prevent people from going to a gemologist every day. [ABSTRACT FROM AUTHOR]