Online Auction System in E-commerce Products using Deep Learning and Data Mining

Abstract

Abstract: Aims: In today’s world everything is going online which effects market that are offline. Auction of any rare products are bid offline, but it’s time to push this auction system online so that more buyer’s will connect online and more bid options will available for them. Online auctions are the most influential e-commerce business applications. Although there have been considerable efforts in setting up market places, online trading still lays in its early stages. Online auction system is the best way to bid such a products who are rare and can’t find easily anywhere. This is mostly work for archaeological old products that are rare. Methods: The most impressing concept of online auction system is you don’t need to anywhere offline. It’s the system where you can bid online without investing your time and bid for particular products. Results: Using this system buyers, sellers come online and connect on web-portal using this system. Conclusion: In this system using this web- portal registered user can propose or bid for new auctions, purchase and place bid product in order to buy that item.