A collection of sample apps to demonstrate how to use Google's ML Kit APIs on Android and iOS
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Updated
Oct 4, 2024 - Java
A collection of sample apps to demonstrate how to use Google's ML Kit APIs on Android and iOS
⚡️ ML Kit plugins for Capacitor. Supports Android and iOS.
A repository demonstrating all that's new in Android 11 for ML and how you could try it out for your own use-cases
A demo app for various Firebase ML-Kit vision functionalities 🕵️♀️
📑 Smart Attendance App that uses face recognition
Google's ML-Kit-Vision demo (android) for pre encoded video. Demos for camera preview and still image are also included. This project is actually extension of Google's own sample. Google's sample link: /~https://github.com/googlesamples/mlkit/tree/master/android/vision-quickstart
An android app which will allows you to translate Hindi to English and English to Hindi with cool UI. It also supports voice input frature. It also supports real time audio translation.
An Android application performing recognition of facial emotions on an image
Gaze Data Collecting Application
An Android app that scans images or human faces in real time and detects whether the mask is worn or not, with the ability to set an audible alert
Titanium module for the MLKit "Google code scanner" - Scan codes without any permission
OptiVision is an advanced Java app leveraging MLKit and TensorFlow models for face detection, pose estimation, visitor analysis, and recognition. With intuitive controls and privacy features like face obscuring, it offers seamless visual analysis, empowering users with machine learning insights.
The Medimate is a community-based app built in “Android Studio" with JAVA that connects blood donors and drug vendors directly with those in need of blood and medicine, bypassing intermediaries like blood banks and pharmacy stores. It uses Firebase for storing real-time databases and the ML kit for image processing.
AI powered android app for image recognition.
stripped only Face Detection part out of vision quick start sample of Firebase ML Kit
TranslateThis: Android App developed for MCAN Lab
An Android app to calculate the value of coins in an image using a TensorFlow Lite machine learning model.
Det.App is an image recognition android app, the prefix Det. comes from detective rank in police officer’s title. Users can use it to detect objects in their surrounding as well as use its mood detection functionality to check their current mood from their lips movement. But before that, users are required to create an account and log into it.
An android app that uses ML-KIT toolkit of firebase to detect objects
Sample project that demonstrates Pose detection on ML-kit in Android.
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