JEWELLERY SHOPPING WITH FACIAL RECOGNITION

Abstract

New potential for personalisation are presented by the developing nexus between artificial intelligence and e-commerce. This study presents a cutting-edge jewelry recommendation system that revolutionizes online buying by leveraging computer vision and machine learning. The technology uses Convolutional Neural Networks (CNNs) to analyse user-uploaded facial photos and produce customised jewellery recommendations based on skin tone, face shape, and specific facial features. The methodology creates a novel way to personalised product discovery by combining sophisticated image processing techniques with a hybrid recommendation system. The platform connects digital interfaces with personal aesthetic preferences by using intelligent matching and multi-stage facial analysis. The system's ability to improve user engagement is demonstrated via experimental validation, providing a revolutionary