syn2k/Fashion-Intelligence-Systems

It is a machine learning project which aims to ease out the work of fashion designers by predicting the trendiness score of their designs (to be launched). The algorithm used for training of test data and prediction is Support Vector Machine. Training data is obtained by web-scraping from e-commerce websites such as amazon, flipkart, shein, etc. Top 10 trendy products from across all the fashion websites are also displayed on the leaderboard.

Jupyter Notebook