The Swiss Army Knife of Offline AI. Chat, see, speak, and generate images on your phone or Mac — GGUF LLMs, vision, Whisper speech-to-text, Stable Diffusion, tool calling, and local-network servers. Runs on your CPU, GPU, or NPU. No account, no API key, zero data leaves your device.

The most advanced, fully offline client-side AI suite on Android today.

Runtime protection for AI agents

🎨 Multiplatform AI image generation app powered by Stable Diffusion • Built with Kotlin Multiplatform & Compose • Supports SDXL, FLUX, SD3 & more • Native performance via C++/JNI • Android/iOS & Desktop ready

All-in-one offline document viewer for Android with OCR and desktop-class rendering — private, open-source, zero tracking

Android application allows you to use ai on device

An open-source, offline-capable agentic IoT runtime with physical actuation trust. Ori gives physical devices the brain to reason about sensor data via tiered LLM reasoning + graduated authority model for safe autonomous physical action. Runs on a Pi.

AI-powered disaster response platform with offline-first architecture using Gemma 3n. Provides computer vision hazard detection, voice analysis with emergency keywords, PDF report generation, and multi-user coordination - all working without internet access.

Harness tacit knowledge into the context of AI agent with on device always-on transcription

UMC 동아리 운영 iOS 앱 — 출석·스터디·커리큘럼 관리. SwiftUI, Clean Architecture, 모듈화.

On-device AI framework inspired by LangChain, purpose-built for mobile. Build, compose, and extend AI features using platform-native models — all processing happens locally on the device.

A cross-platform app for on-device AI chat — no cloud, no compromise, just local LLM power across all platforms.

Curated resource for mobile teams shipping on-device LLMs — runtime benchmarks, model picks, GDPR-friendly architecture, and real production use cases.

On-device DPO + QLoRA fine-tuning pipeline to ground a SLM in oil-and-gas jargons. Cloudera AMP: https://cloudera.github.io/Applied-ML-Prototypes/#/community

Ojas is a production-grade Android application that measures heart rate from live camera feed using remote photoplethysmography (rPPG) technology. The app leverages Arm Neon SIMD for signal processing and NNAPI for AI-powered signal refinement, achieving real-time performance on mobile devices.

A personal demo project for Flutter + ONNX Runtime integration. Not related to any company work.A comprehensive on-device face recognition SDK for Flutter

CoreML conversion of all-MiniLM-L6-v2 with a full SwiftUI demo, tokenizer implementation, model resources, and conversion script for easy on-device text embeddings.

This repo contains a fully local Ai vision app build in swift and metal.

Search your photos instantly using natural language, completely on-device.

Search your photos instantly using natural language, completely on-device.