Android app that identifies and detects Pokemons in the provided Image using Tensorflow Lite and Firebase MLKit
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Updated
Jan 18, 2019 - Kotlin
Android app that identifies and detects Pokemons in the provided Image using Tensorflow Lite and Firebase MLKit
📈ㅤ[ARTICLE] Firebase ML Kit 101 Series
This is a sample app built to demonstrate the use of MLKit Face detection. Dedicated to all Android Developers with heart.
🤖 A simple application using Google's MLkit library and cameraX api.
OCR app with entity extraction with mlkit and camerax
Price Tag Scanner app using MLKit and Jetpack Compose for Android
With Viola android face detection library, you can detect faces in a bitmap, crop faces using predefined algorithm and get additional information from the detected faces.
AR-based library for Android which is capable of detecting faces and overlaying images above the user’s head
Native android application that scans for text in images. Uses ML kit under the hood.
All Android Applications using Google MLKit [Java & Kotlin]
A multi-modular Android application implemented using Clean Architecture, MVVM pattern, Koin, Kotlin Coroutines, Retrofit2, Room etc.. to identify the institution that issued a payment card
Various scanner use cases using Firebase or HMS ML-Kit
I built this app using Mlkit along with the TensorFlow Lite model for object detection, Arcore is used to place anchors to the detected objects. It's a good blend of Machine learning and Augmented reality to visualise ML information in a much better way than regular bounding boxes
Barcode Reader + CameraX features - Android
An Android app that can recognize text from an image with the help of Machine Learning-Kit .
Arcore ml kit integration without sceneform to detected multiple objects in a signle frame and place 3d labels on them
It is Document scanner using MLKit Scanner API, Kotlin and Jetpack Compose.
Implementing various ML usecases in Jetpack Compose
English-practice messenger. Kotlin, Kotlin Flows, Coroutines, Clean Architecture, MVVM, Dagger-Hilt, LiveData, Firebase, Picasso, Ml Kit.
Demonstration of MLkit in android with simple examples and samples
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