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About the problem

The goal is to find the best outfit or to optimize the user look, which consists of pieces from all categories (top, bottom, shoes, neck, and purse) given a dress code, color pallet, and budget. By implement a GA algorithm we will reach our goal.

About the dataset

Its consist of pieces of clothes in the market which are : Top, bottom, shoes, neck purse. Given with each piece its dress code (casual, sport ,Business, evening), and its colour (dark, light), and its price( the pieces with 0 SAR is already on the user wardrobe) .

How the code works

The user enters a dress code, and colour, and budget. And the GA algorithm will then run to find the best pieces from each category that maximize the fitness function and output the items.

Libraries

  • Numpy