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Making AI Understand Sneakers and Fashion: The System Design Behind SoleFeed and Dripsy
See how AI systems like SoleFeed and Dripsy tackle messy fashion data, building searchable, deduplicated shopping experiences through data cleanup, embeddings, and image processing.
I built SoleFeed and Dripsy, AI-powered sneaker and fashion commerce systems that turn messy product data from many stores into searchable, deduplicated, visually organized shopping experiences.
I’ll show the live system and the technical workflow behind it: the repo, ingestion pipeline, canonical product architecture, embedding search, image-processing experiments, and real examples of where the system succeeds or fails. I’ll tak about handling hard product-data problems like duplicate listings, inconsistent style codes, bad product images, color detection, semantic search, and fast vector retrieval.