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

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.