• Mrs.Mane Mohini S
• Dr. Sangve S M.
• Mr. Mane P M

The Outfit recommending plays a growing role in the online retail market.1 The aim of the equipment advisory is to inspire the engagement and involvement of people in online shopping by recommending trendy outfits. Propose a neural multi- task system, known as the guideline for neural equipment (NOR). Two main ingredients are composed of NOR: matching and generation of statement. A neural network convolutionary (CNN) with a framework for shared attention to derive visual characteristics of outfits. A multi-modal, gated recurring (RNN) neural network to transform visual functions into a succinct phrase. System need to recommend a short list of bottoms according to top and recommend a short list of tops according to bottom so as to explain why the top and the bottom match, and vice versa.

Comment generation, Matching, Outfit recommendation

"A Detail Survey on Deep Learning Based Outfit Recommendation System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 5, page no.g319-g324, May-2021, Available :http://www.jetir.org/papers/JETIR2105842.pdf

"A Detail Survey on Deep Learning Based Outfit Recommendation System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 5, page no. ppg319-g324, May-2021, Available at : http://www.jetir.org/papers/JETIR2105842.pdf