On-device customizable face recognition in Android with FaceNet and an embedded vector database

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.

RepDetect is an android mobile application for workout enthusiast which uses Google MediaPipe Pose landmark detection using MLKit to create a basic fitness application.

🔮 Obtain the power of touchless interaction with display screens

Implementing various ML usecases in Jetpack Compose

MediaPipe samples with Kotlin Multiplatform

An Android App recreating the Simon Says game. Uses MediaPipe to run an LLM on device

AI Android application crafted with Kotlin that harnesses the power of MediaPipe Pose Landmark Detection to deliver real-time feedback on exercise form while accurately counting repetitions

Control Liquid Galaxy through facial gestures for a captivating and intuitive experience.

Image Classification, Image Captioning and LLM inference with LiteRT

Skin Sync is an Android application that helps users decide what to wear for photoshoots based on their skin, lip, and eye colors. By analyzing these features and the colors of a specific location, the app provides outfit recommendations to ensure the user looks their best in every photo. It also scrapes clothing suggestions online, including price

Get started with the new Gemma 3 model for on-device inference. Giving you the simplest steps to get started with AI on Android.

Action count detection system which has web and android side

First open-source real-time face filter app using MediaPipe FaceMesh for high-performance, GPU-accelerated effects.

Written in Flutter

AICore has minSDK 31, this template shows how to use it in a lower minSDK Android app

2024 Jeonju University CapStone Design

🏆 삼성 청년 SW아카데미 자율 프로젝트 우수상(1등)

This Android can be used to extract holistic landmark and based on google's Mediapipe