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Follow on Google News | ![]() The First Online Automated Fashion StylistGuide2style.com Provides Women with a Unique Tool to Create Stylish Looks for Every Occasion
Guide2style allows users to create a profile based on body measurements, skin/hair/eye color combination and style preference. The site's unique artificial intelligence engine uses these descriptions to generate advice for clothing that is flattering to specific attributes and is as detailed as the best top & bottom fit, sleeve length, neckline type, skirt length & type, etc. Once the details of event type, season and price range are entered, it searches more than 10,000 pieces on external retail sites to provide the right outfit options. Users can click on a suggested garment for instant shopping on the retailer’s website. “This site was created to help women put together a great outfit in the easiest way possible. Guide2style gives every woman their own virtual personal stylist,” states Charlisha Renata, guide2style's Fashion Director. In conjunction with the launch of guide2style.com, the company is also launching an IndieGoGo campaign to raise funds for the site’s continued growth. The campaign offers stylish items, such as t-shirts and tote bags as perks for contributors. “We have a lot of amazing ideas in store for guide2style, such as an app that provides daily automated wardrobe advice related to local weather and a personal calendar. Once we have the necessary funding, we will begin to bring those ideas to fruition,” said Scott Van Valkenburgh, guide2style's co-founder and General Manager. Those interested in contributing can visit, http://www.indiegogo.com/ About guide2style.com Founded in Austin, Texas, guide2style.com is the first ever automated website to help women answer the infamous question, “What Should I Wear?” From the fashion-savvy to the style-curious, guide2style was built with every woman in mind. Powerful, proprietary, artificial intelligence provides occasion-specific written advice to suit your body type, complexion, tastes, and personality, based on a user profile. End
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