• Munmi Dutta
• Nilotpal Hazarika
• Amrita Ganguly

In this fashion world the latest trends and products keep on changing. As such automatically categorizing and searching through a huge data of images according to the patterns is a tough work. A machine learning (ML) technique is proposed in this paper for automatically identifying the patterns from the images. This approach is for the e-Commerce portal to automatically organize the products in the proper category of the catalog without human input. It is also beneficial for customers to search a specific product when text description for the target product is not present.

machine learning (ML), convolutional neural network (CNN), deep neural networks (DNN).

"Product Categorization in Fashion and Lifestyle Commerce using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.463-470, June-2022, Available :http://www.jetir.org/papers/JETIRFM06082.pdf

"Product Categorization in Fashion and Lifestyle Commerce using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. pp463-470, June-2022, Available at : http://www.jetir.org/papers/JETIRFM06082.pdf