Style Sprout will allow users to build outfits from their own closet based on keywords.
Users will be able to scan in their clothes with a camera, which will use CV and a trained model to classify their clothes. For example, a white t-shirt will be classified as white, warm weather, and casual. This will cover the hardware area of ECE. We will train this model ourself.
Our application will use these classified articles of clothing to generate outfits for users. Users will be able to input certain keywords like casual on a mobile application to specify what they are looking for. This will cover the software area of ECE. Style Sprout will also check the weather so it only generates outfits that fit the local temperature.
Users will be able to select the outfit that they want to wear. Style Sprout will then remove the worn clothing from future outfit consideration until they have been washed.
Style Sprout is an extension of existing outfit generators. Some implementations only generate based on “default” clothes, but Style Sprout will generate outfits based on the user’s own closet. Other implementations require the user to take and upload a picture of each piece. Style Sprout will streamline this by allowing the user to continuously scan in all their clothes, removing the need to individually upload each piece of clothing. Other implementations also did not generate outfits based on the weather.