Neural networks, inspired by the biological structure of the brain, have become a cornerstone in various machine learning tasks, including but not limited to those within the fashion domain. Convolutional Neural Networks (CNNs) are specialized neural networks designed for processing structured grid data - particularly images. Using these neural networks, The Virtual Wardrobe Fashion Advisor was created. Additionally programming languages like Python for algorithm implementation and Django,Html, Javascript and Cascading Style Sheets for web based application development were also used. The model was approached in the traditional CNN method to detect the type of clothes users prefer. Model detects the clothes with the help of selective gender and seasons; a setting in accordance to the user preference.
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