• TARUN DUBEY
• SHRUTI MUNDARGI
• JHANAVI CHADHA
• Mrs. ASMITA DESHMUKH

Fashion is inherently social and public. Fashion is like eating, you shouldn't stick to the same menu. We dress not only for ourselves but also for the appropriateness of the environment we are in. In order to look extra ordinary, having a unique fashion style is a common thing observed these days. People try to copy celebrities and the ongoing fashion trends. But it’s not always possible to buy new clothes. Rather the idea of sustainable fashion is a better option. Reusing the same apparel, a number of times in a different style can be adopted as it also shows one’s creativity. At times, it is hard to decide the proper outfit and what accessories will match with the same. Instead of having to try each and every garment it’s better to have a personal advisor who can make your job pretty simple on the click of a button. We proposed a full stack web application that can readily output the fashion items due to its ability to label based on the pre-trained generalized attribute. Specific identified attributes can further be categorized as styles of clothing where further user recommendations can be made. We used a VGG model pre-trained on ImageNet with transfer learning changing the output layer to include various patterns and clothing types. Transfer learning is a method of reusing pre-trained model knowledge for another task.

"Fashion Advisory System-A Complementary Apparel Recommendation System using VGG Model", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 5, page no.994-998, May-2020, Available :http://www.jetir.org/papers/JETIR2005276.pdf

"Fashion Advisory System-A Complementary Apparel Recommendation System using VGG Model", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 5, page no. pp994-998, May-2020, Available at : http://www.jetir.org/papers/JETIR2005276.pdf