“IDENTIFICATION of jewelry ARTICLE USING TRANSFER LEARNING AND IMAGE REPOSITORY” maybe a project that aims to automate, boost and revolutionize the task of recognizing Jewellery articles for tagging before adding the article into the inventory. the aim of this project is to optimize the task of stock entry and to scale back the manual work of tagging each and each article. The project involves creating an image repository of varied Jewellery articles by manually clicking the pictures, label the pictures supported the classes, train the model, and eventually classifying the articles in real-time using live camera feed using Transfer Learning, and OpenCV. Once the article is recognized, the model will pass the worth vectors including the name of the article, the image of the article, and a number of pieces of a specific article skilled the live camera. this complete process will help in boosting up the manual process of adding Jewellery articles to inventory, will reduce manpower, be less erroneous, and can economize for the stakeholders during the end of the day.