Object detection in E-commerce is a revolutionary concept which will take E-commerce to another level. One can compare the price of different products from various web merchants. Labeling, Categorizing, Screening various E-commerce website for the same product can be tedious and take valuable time. Image analysis utilizing machine learning can ease the process and make it faster than ever. This project allows the customer to select from a variety of range and at the same time can compare the different parameters and selects the best out of it, and all this by just clicking the picture of the product you want. Since E-Commerce is a constantly growing and competitive market, comparing product prices is an important task for online retailers as well as for e-shoppers. Since web costs are refreshed once per day or significantly more regularly and there is an immense number of item offers on the Web the item and value information should be distinguished, gathered and thought about by a computerized methodology. This project contributes a novel approach for the automated identification and extraction of product price data from arbitrary e-shop websites which are independent of the E-shops? language and the product domain. The project is an android application to scan an object of desire and get various prices through the online merchants or e-commerce websites in the form of a list and then once you select an option it provides you with the buying option and also recommendations related to the product you selected making the whole shopping experience much easier and faster. And the main key point of the project is to get the user the best price for the desired product without going through the hassle of scrolling and comparing individual sites one after another.
object detection, artificial intelligence, deep learning, image classification, e-commerce
NIRAV PANCHAL , AAKASH SHAH , PREM SHAH , DHARMIL SHAH , Mrs. Pallavi Deshmane "OBJECT DETECTION USING DEEP LEARNING AND ARTIFICIAL INTELLIGENCE IN E-COMMERCE" Iconic Research And Engineering Journals Volume 2 Issue 10 2019 Page 37-40
NIRAV PANCHAL , AAKASH SHAH , PREM SHAH , DHARMIL SHAH , Mrs. Pallavi Deshmane "OBJECT DETECTION USING DEEP LEARNING AND ARTIFICIAL INTELLIGENCE IN E-COMMERCE" Iconic Research And Engineering Journals, 2(10)