Android ml libraries
QR reader library with CameraX & Firebase ML for Android.
The Weka ML library for Java is FREE and provides access to various ML algorithms and neural networks. These algorithms can be utilized for a variety of purposes, including facial recognition, which can be done for free unlike APIs like Kairos or Microsoft Azure. Clone this repo, give it a star, and have fun using the facial recognition app!
Mluvii Android Library that allows developers to use Mluvii button inside their app
Vision AI is library to help developers to bring ML solutions for their apps
Simple Logging library for Android in Kotlin, It will help you to print the logs in Console and also it will store the logs in File in your mobile storage.
An Android app to identify books from their covers and give info, built using ML Kit's Text Recognition API, Android Jetpack Libraries and Google Books API
Weka Port to Android Library http://www.cs.waikato.ac.nz/ml/weka/
Using JavaML library with Android to do simple machine learning.
Text Recognizer Using google cloud vision and google ML library , use check different branches for implementation
This project is has been created using google services such as firebase and tensorflow lite. The pre-trained libraries have been employed to an android application to detect and recognise objects.
Android simple realtime machine learning labeler from camera using firebase ml-kit and fotoapparat's camera and frameprocessor library
This is an android camerax object detection tutorial.This tutorial uses Firebase ML library for object detection.
Android | iOS | React Native - Working with Networking, Firebase Analytics, Service, Views, Material UI, SQLite, Augmented Reality Demo Codebases, Android ML Kit, Popular Library Implementations & More
A simple code scanner app for Android built with latest CameraX Jetpack library and Google's on device Machine Learning SDK ML-KIt.
FYP - Final Year Project - B.Eng in Mechatronics Engineering: Calorie-counting/diet-management Android application using ML image classifier and Bluetooth kitchen scale. This app uses the TensorFlow machine learning library, trained with the MobileNet image classification model, to detect food types. With the food classified, nutritional info is retrieved from the USDA nutritional info database, and the user can use a Bluetooth kitchen scale to record the weight value. This is used to calculate the calories and macronutrients of the food item or overall meal. Can be used with text-input for search and weight values also. Currently integrated with the "Skale 2" Bluetooth scale, but further support being added. Work in progress.
an android camera app that leverages the power of CameraX library and Firebase ML Kit. The app offers a seamless user experience, allowing users to capture images and accurately detect and analyze facial expressions in real-time.
Barcode scanner library for Android, based on ML Kit's barcode scanning API
Image classification app built for Android powered by the Tensorflow.JS lite ML model that has the ability to predict images in 1000+ categories. Built using Kotlin programming and Jetpack libraries
QRCodeExample Android APP (Create & Scan) Using ZXing and ML Kit Library
Building an "Image Labeling ML Kit" Android App in Android Studio IDE, using Java programming language and "Machine Learning" implementation with the "Firebase ML-Kit" - "Image Labeling" library.
An Android Project to Evaluate Mathematical Expressions from Image using ML Kit Text Recognition and MxParser Libraries.
Building "Face Detection" Android App in Android Studio, using Java programming language and "Machine Learning" implementation using the "ML Kit" - "Face Detection" library,
Building the "Language Translator" Application in Android Studio, using Java language and Machine Learning implementation through ML-Kit Translation library
Visage Vault is an Android application developed using Android Studio that utilizes TensorFlow Lite model and Firebase ML Kit Library to identify faces, record their names, and perform face recognition of recorded images.
A demo of all the Machine Learning operations that are possible to do on-device in an android phone with the help of ML-Kit library.
Mvvm Structure, boilerplate code; Google ML Kit, Face DetectionFragments and Menu with Toolbar; Android Jetpack; DataBinding, RecyclerView. Google Firebase; Authentication Realtime Database, Storage.Room Database Library, Advanced XML Features. Byte/Character; Input Stream/ Reader
Child Learning android app with ML libraries for identifying images
This repository uses Google ML KIT library for Pose Detection in Android
Native Java Android app: face detection app built using cameraX library and Ml kit face detection library
