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# Androidify: Transform Your Selfies into Personalized Android Avatars with Google's AI Technology

**[Collections](https://daily.dev/sources/collections)** · 1 min read · 1 upvotes · 0 comments

## Summary

Google launched Androidify, an open-source app that uses AI to transform selfies into 3D Android avatars. The app combines Gemini 2.5 Flash for photo analysis, Imagen 3 for avatar generation, and Veo 3 for animation. Built with Jetpack Compose and Material 3 design, it features smart photo capture with CameraX and ML Kit, plus Firebase integration for flexible avatar creation from photos or text prompts.

## Content

Google has unveiled a transformative application, Androidify, which takes a creative leap in personalizing digital avatars. The app ingeniously utilizes cutting-edge AI to convert selfies into charming 3D Android mascots. At the core of this technology are several advanced systems working in harmony: **Gemini 2.5 Flash** analyzes photos, generating descriptive prompts, while **Imagen 3**, meticulously fine-tuned with supervised learning, meticulously crafts custom Android avatars. Additionally, **Veo 3** brings these avatars to life, animating them into delightful dancing videos.

Built with **Jetpack Compose** and featuring Google's **Material 3** design language, the app boasts a dynamic user interface that seamlessly adapts across various device types, from standard smartphones to modern foldables. Furthermore, the integration of **CameraX** and **ML Kit Pose Detection** enhances smart photo capture functionality, ensuring high-quality inputs for avatar creation.

The app also leverages Firebase AI Logic SDK, providing users the flexibility to generate avatars from either selfies or text prompts. Furthering the creative experience, Androidify includes features such as background generation and a sticker mode, enhanced by subject segmentation. For those interested in the technical nuances, Androidify is open-source, with its comprehensive codebase accessible via GitHub, encouraging exploration and innovation within the Android developer community.

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#google](https://daily.dev/tags/google), [#android](https://daily.dev/tags/android), [#firebase](https://daily.dev/tags/firebase), [#jetpack-compose](https://daily.dev/tags/jetpack-compose)

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