AURA
Android Utility for Runtime AI
AURA is a native Android app for running open-source Small Language Models (SLMs) locally on your phone. It is built for private, on-device research and internal use. Once models are downloaded, inference runs fully offline and the app stays ad-free.
Developed by HawkFranklin Research.
Highlights
- Pure local inference using LiteRT-LM (no cloud required for chat).
- Model hub + downloads from Hugging Face.
- Core tasks: Chat, Ask Image, and Prompt Lab.
- Open source & ad-free by design.
Models (examples)
AURA supports open-source SLMs such as:
- Gemma 3
- Qwen 2.5
- DeepSeek R1 Distill
- Phi-4 Mini
(Exact models can change over time based on the allowlist.)
System Requirements
- Android 12+ (minSdk 31)
- RAM: 8GB+ strongly recommended (4–6GB may be unstable)
- Processor: Modern Snapdragon 8 Gen 1+ / Tensor G2 or newer recommended
Privacy & Offline Use
All inference runs on-device. Your prompts and data do not leave your phone. Internet is only needed to download models or access gated repositories, and after download the app works fully offline.
Roadmap
- Chat with PDF & documents (RAG)
- Real-time multi-lingual translation
- Voice-to-action workflows
- Optional hovering assistant icon
Developer Build
1cd android
2./gradlew assembleDebug
Output:
android/app/build/outputs/apk/debug/app-debug.apk
Play Store Prep (first-time)
If this is your first Play Store submission, you will need:
- App signing (keystore) and Play App Signing enrollment
- Store listing copy (title, short/full descriptions)
- Feature graphic, screenshots, and icon assets
- Privacy policy URL (even for no-data apps)
- Data Safety form answers
- Content rating questionnaire
- Target API compliance and permission justifications
- Internal/closed testing track setup before production
If you share the codebase, we can help generate the store listing text, privacy policy skeleton, and Data Safety answers needed for submission.
