Makeup-Applying Apps

This App Makes the Process of Taking a Makeup Selfie Easy

Have you ever wished that you didn't need to do anything to your face to get a flawless makeup selfie picture? There are photo-editing apps for this purpose, but even that gets irritating sometimes. What if you're just somebody who can't really draw the perfect eyebrow, or who is ticklish at the touch of an eyeliner?

Meet Makeup Plus, an app from the makers of the handy photo-editing app Meitu. It is an app that analyzes your face after you take a picture and applies makeup to your face in the photo. The results are surprisingly realistic.

You can apply natural looking makeup to your face with just one button. You can also choose a "superstar" look, add a moustache, or put on an eye-rolling face. This may very well be the next phase of the selfies -- makeup selfies.
Trend Themes
1. Virtual-makeup Apps - Disruptive innovation opportunity: Develop an app that uses virtual reality technology to allow users to try on different makeup looks before purchasing products.
2. AI-powered Makeup Apps - Disruptive innovation opportunity: Create an app that uses artificial intelligence to analyze facial features and suggest personalized makeup looks based on user preferences.
3. Augmented-reality Makeup Apps - Disruptive innovation opportunity: Build an app that leverages augmented reality to virtually apply makeup in real-time, allowing users to see how different products and shades look on their faces.
Industry Implications
1. Beauty - Disruptive innovation opportunity: Introduce smart mirrors in beauty stores that use facial recognition technology to recommend personalized makeup products to customers based on their skin tone and features.
2. Technology - Disruptive innovation opportunity: Develop advanced image recognition algorithms that can accurately detect different facial features and apply makeup virtually in real-time for enhanced user experiences.
3. E-commerce - Disruptive innovation opportunity: Create an online platform that utilizes machine learning algorithms to provide personalized makeup recommendations and virtual try-on experiences for customers, increasing sales and customer satisfaction.

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