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AI Case Study

ModiFace enhances its AR app by enabling voice conversations with customers using natural language processing

ModiFace has partnered with SoundHound to enhance its intelligent augmented technology for the beauty and medical industries with speech recognition and voice-enabled technologies.
The companies are creating a smart mirror software, capable of facilitating voice conversations with customers. By using their voice and live video, customers will be able to virtually try on makeup and beauty products both in store and through ModiFace's AR app.

Industry

Consumer Goods And Services

Personal And Household Goods

Project Overview

"By leveraging SoundHound's industry leading Houndify voice-enabled AI platform in ModiFace's AR mirror software, both brands and customers will be able to interact with a magic mirror using only their voices and their live video.

The new voice-enabled Smart Mirror software will be available for beauty brands to use both in-store and in the brand's smartphone AR applications.

Using the new Houndify-Powered AR technology, customers can speak the types of colors or products that they would like on their faces and the mirror listens and implements their requests. All they have to do is give verbal commands like, "Add red lipstick and pink blush," and the mirror shows them what they would look like with those makeup effects."

Reported Results

Results undisclosed

Technology

"Our consumer product, Hound, leverages our Speech-to-Meaning™ and Deep Meaning Understanding™ technologies to create a groundbreaking smartphone experience, and is the first product to build on the Houndify platform."

Function

Marketing

Digital Marketing

Background

"ModiFace Inc., the leading provider of intelligent augmented technology for the beauty and medical industries, and SoundHound Inc., the leading innovator in speech recognition and voice-enabled AI and conversational intelligence technologies, today are announcing a partnership to create the ultimate smart mirror software."

Benefits

Data

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