Voice-enabled Makeup Assistant
The Estee Lauder Companies Inc.
100+
downloads
Free
AppRecs review analysis
AppRecs rating 1.0. Trustworthiness 55 out of 100. Review manipulation risk 21 out of 100. Based on a review sample analyzed.
★☆☆☆☆
1.0
AppRecs Rating
Ratings breakdown
5 star
0%
4 star
0%
3 star
0%
2 star
0%
1 star
100%
What to know
⚠
Mixed user feedback
Average 1.0★ rating suggests room for improvement
About Voice-enabled Makeup Assistant
This innovative app offers audio feedback on the user’s foundation, eyeshadow and lipstick application, creating a more accessible beauty experience for the Blind and visually impaired.
How It Works:
EL VMA, the AI-powered Voice-enabled Makeup Assistant, leverages machine learning and voice instruction technologies to learn your preferences and provide audio feedback when you ask.
After you apply your foundation, eyeshadow or lipstick, the app will access your phone’s front camera to scan your face. Using artificial intelligence, it identifies the makeup applied to your face, eyes and lips and assesses the uniformity and boundaries of application and coverage. If there are suggested areas to touch up, the virtual assistant identifies them and makes audible recommendations so you can adjust your look. After your touch up, the app scans your face again and provides feedback on the accuracy of application.
How It Works:
EL VMA, the AI-powered Voice-enabled Makeup Assistant, leverages machine learning and voice instruction technologies to learn your preferences and provide audio feedback when you ask.
After you apply your foundation, eyeshadow or lipstick, the app will access your phone’s front camera to scan your face. Using artificial intelligence, it identifies the makeup applied to your face, eyes and lips and assesses the uniformity and boundaries of application and coverage. If there are suggested areas to touch up, the virtual assistant identifies them and makes audible recommendations so you can adjust your look. After your touch up, the app scans your face again and provides feedback on the accuracy of application.