ADVANCED FASHION RECOMMENDATION SYSTEM LEVERAGING SIZE AND COLOR PREFERENCES USING MACHINE LEARNING

Fashion recommendation systems play a crucial role in enhancing online shopping experiences by providing personalized suggestions tailored to individual preferences.However, existing systems often face limitations in accurately matching user preferences, particularly concerning size and color preferences for both men and women.This abstract presents an enhanced fashion recommendation system leveraging machine learning techniques to address these shortcomings.We created our own dataset for women and men with parameters based on gender and color variations.Dataset is trained with multiple machine learning algorithms and accuracy of the models are compared and flask web application is developed to show predicted recommendation based on user sizes.