[Virtual Meetup] Building an AI Powered Outfit Recommendation System w/ Dataiku

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Presented by

Emma Huang (Data Scientist @ Dataiku)

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Talk Abstract: Ever have trouble deciding what to wear in the morning? Well, it may not be a problem for much longer! Thanks to this computer vision based outfit recommendation system, rather than wasting those precious minutes deciding what to wear, let AI do it for you! The system takes separate articles of clothing as image inputs and recommends what it considers to be appealing outfits. There are many extensions of this project, such as recommending articles of clothing to users to match their personal style and enhance their wardrobe to making dressing more accessible to those with disabilities. The system itself is built from a combination of the following models: a convolutional neural network autoencoder, clustering algorithms, and a multi-input CNN. Speaker Bio: Emma Huang is a data scientist at Dataiku with a background in math and economics. She has experience as a data engineer and specializes with big data and NLP techniques. Graduating from Occidental College in 2016 with a degree in economics and mathematics, Emma has since been making waves in the data science field. Disclaimer: All views, thoughts, & opinions expressed in the webinar belong solely to the panelists, & not to the panelists’ employer, organization, committee, other group or individual.

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Dataiku is the world’s leading platform for Everyday AI, systemizing the use of data for exceptional business results. Organizations that use Dataiku elevate their people (whether technical and working in code or on the business side and low- or no-code) to extraordinary, arming them with the ability to make better day-to-day decisions with data. More than 450 companies worldwide use Dataiku to systemize their use of data and AI, driving diverse use cases from fraud detection to customer churn prevention, predictive maintenance to supply chain optimization, and everything in between.