# 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 ```bash cd android ./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.