Production ready toolkit to run AI locally

PennyWise automatically reads transaction SMS messages and transforms them into organized financial data with on-device AI assistance. No manual entry, no cloud processing, complete privacy.

Run large language models like Qwen and LLaMA locally on Android for offline, private, real-time question answering and chat - powered by ONNX Runtime.

A Kotlin Multiplatform library to run TensorFlow lite models on iOS and Android targets

Extremely minimal Compose Multiplatform sample that demonstrates use of on-device AI on iOS and Android.

Kotlin bindings for Edgerunner

Android native AI inference library, bringing gguf models and stable-diffusion inference on android devices, powered by llama.cpp and stable-diffusion.cpp

A sample that showcases Android App Functions use cases.

An open-source Kotlin library for building privacy-first, on-device adaptive AI models.

Image Classification, Image Captioning and LLM inference with LiteRT

Privacy-first home inventory app with on-device YOLOv8 detection. Built for ExecuTorch Hackathon @ GitHub HQ.

Run multimodal AI inference locally on your android. Supports Text, Image generation with audio calls.

Run LLM inference in an Android app with llama.cpp, ExecuTorch, LiteRT, ONNX, and more.

Image Classification with LiteRT

SponsorMe is a project to help provide access to digital tools for learning, powered by on-device machine learning, innovation and willingness, to those people that have limited access to technology due to demographics, disabilities, economy or other multiple reasons.

2022 D.Com 동아리 대항전 Team "AEye" - Android Native App 개발을 위한 Repo.

NotiSentry is a WIP modern Android application designed to help users reclaim their focus by intelligently managing, filtering, and summarizing notifications.

Deploy a MobileNetV2 image classification model on Android by converting PyTorch to TFLite and integrating it into a Kotlin-based mobile app.

An offline-first, on-device AI that empowers Nigerian farmers to diagnose maize diseases using just their phone's camera

🤖 Build on-device AI solutions for iOS and Android with this minimal Compose Multiplatform example using Foundation Model Framework and MLKit Prompt API.