What it does
It provides users with a platform to maintain their wardrobes. By giving daily “fit checks”, our app can tell the user what kind of clothing items they tend to wear more, giving the user guidelines they can follow next time they go clothes shopping. This app also provides them with an outlet to sell unwanted items, rather than letting them rot in a landfill. This works by emailing a user when it has been some number of days since they last wore a piece of clothing, then giving them the option to list that unwanted item automatically. Through this marketplace interface, the user can also view items for sale and filter by their preferences, showing them items they are more likely to buy. Introducing, SambaFit which has a Fashion Agent and Vision Agent that can create outfits for users based on what’s in their wardrobe and other factors such as the current weather which uses an agent pipeline created with SambaNova. We made an AI developer assistant powered by SambaNova 70B that can provide detailed insights on source code and the program’s structure to help improve reusability. The application can also give more detailed insights on pieces of clothing using a RAG pipeline that uses personal color theories and styling guide pdf files that anyone can input styling catering to their specific desires.
