Ammazza - Jewellery Try On
Virtual Jewellery Try On
Archived App
This is an archived listing of the app previously available on the App Store.Although the app is no longer distributed by Apple, you can still view its description, screenshots, version history, ratings, and metadata for reference.
About
This app uses AI to let you virtually try on jewelry. It features advanced face and emotion detection to provide personalized recommendations and gather insights on popular designs and age-based preferences.
What's New in Ammazza
1.0.3
November 13, 2019
3D rendering improved Few small bugs resolved
FAQ
How does Ammazza detect my face for jewelry try-on?
Ammazza uses advanced artificial intelligence to automatically detect your face, including shape and other minute details, to ensure a perfect and engaging virtual try-on experience.
Can Ammazza detect my emotions while trying on jewelry?
Yes, Ammazza is designed to observe your reactions and emotions while you try on jewelry. This provides valuable data and analytics on which designs are most popular and loved.
Does Ammazza detect age and gender for jewelry recommendations?
Ammazza intelligently detects your gender and age group to offer respective jewelry try-ons. This helps in gathering statistics for preferences based on different age demographics.
What kind of insights does Ammazza gather?
The AI technology in Ammazza gathers valuable insights from users, which can help in deciding the course of future actions and product development for jewelry.
Is Ammazza available on Android devices?
Currently, Ammazza is supported on iPhone and iPod devices. Information regarding Android support has not been provided.
How often is Ammazza updated?
Ammazza was last updated on November 13, 2019, with version 1.0.3. The release date was November 12, 2019.
What is the user rating for Ammazza?
Ammazza has a perfect rating of 5.0 stars based on one review, indicating a highly positive initial user experience.
Is Ammazza free to use?
Yes, Ammazza is available for free, with no mention of in-app purchases or subscription costs in the provided data.
