| # AURA |
| **Android Utility for Runtime AI** |
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| 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. |
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| Developed by **HawkFranklin Research**. |
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| ## 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. |
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| ## Models (examples) |
| AURA supports open-source SLMs such as: |
| - **Gemma 3** |
| - **Qwen 2.5** |
| - **DeepSeek R1 Distill** |
| - **Phi-4 Mini** |
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| (Exact models can change over time based on the allowlist.) |
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| ## 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 |
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| ## 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. |
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| ## Roadmap |
| - Chat with PDF & documents (RAG) |
| - Real-time multi-lingual translation |
| - Voice-to-action workflows |
| - Optional hovering assistant icon |
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| ## Developer Build |
| ```bash |
| cd android |
| ./gradlew assembleDebug |
| ``` |
| Output: |
| - `android/app/build/outputs/apk/debug/app-debug.apk` |
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| ## 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 |
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| If you share the codebase, we can help generate the store listing text, privacy policy skeleton, and Data Safety answers needed for submission. |
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