Elevating User Experience with Image-based Fashion Recommendations

Joan Kusuma's innovative approach to enhancing the fashion retail experience involves using image-based recommendations. By utilizing convolutional neural networks (CNNs) and visual embeddings, she has created a personalized outfit recommendation system that can transform the fashion industry. The process includes image preprocessing, feature extraction, vector search with vector databases, indexing, and image recommendation model in action. Joan's work demonstrates the potential of AI in fashion retail by delivering personalized outfit suggestions using visual embeddings and vector databases.