MoodMarket: Emotion-Powered Retail Recommendations

Abstract

"The MoodMarket project is about addressing the online shopping experience by utilizing facial recognition technology to personalize clothing recommendations. Traditional e-commerce platforms lack the personal touch of providing personalized recommendations according to individual preferences and emotional states. This would lead to improved user engagement and potentially influence purchasing decisions.

Facial Emotion Recognition is done with the support of the DeepFace library and then the product recommendations are provided with a Hybrid recommendation system that combines intuitive mappings from colour psychology which associates colours with emotions, with an ML model that is designed to learn and adapt recommendations based on product attributes and user interactions."