This is a sample app built to demonstrate the use of MLKit Face detection. Dedicated to all Android Developers with heart.

This repository contains a collection of Android applications developed using Google ML Kit, demonstrating the power and versatility of machine learning features in mobile development. Each project is crafted using Java and Kotlin, showcasing various use cases and practical implementations.

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

Arcore ml kit integration without sceneform to detected multiple objects in a signle frame and place 3d labels on them

SmartLens uses Google's ML Kit for Barcode scanning, Face recognition, Text recognition, and Image labeling.

An Expo module that uses device's front camera and MLKit to detect faces

CameraX + ML Kit = ❤️

Android application which detects human faces and classifies them under wearing a face mask or not

A demo app using MVI, master-detail, SQLDelight, Hilt, Material Design, Navigation Component, Shared Element Transition, Coil, and MLKit face detection.

This Android project demonstrates real-time face detection using ML Kit's Face Detection API, integrated into an app built with Kotlin and Jetpack Compose. The app captures images from the camera and highlights detected faces on the camera preview. It showcases modern Android techniques with CameraX for camera integration and Jetpack Compose

O app consegue detectar rostos humanos e capturar informações sobre o rosto.

TailorMade is a mobile application which connects customer with tailors and fashion designers, so every customer will be able to get the clothes he/she want faster.This repository includes the mobile Android application.

스마트 교정기 & 교정 관리 애플리케이션

Sample app to demonstrate MLKit Face detection with CameraX in Compose.

FaceEmotionRecognition derived by lampadovnikita's archive. An Android application performing recognition of facial emotions on an image.

WPI CS528 (Mobile and Ubiquitous Computing) AI Project 2: Creating "Crime Database" App for Android using Kotlin — Learning about Fragments, CoRoutines/Async, Room Databases. Following directions from Android Programming: The Big Nerd Ranch Guide, 5th Edition

Using ML Kit's face detection API, this app will detect faces in an image, identify key facial features, and get the contours of detected faces.

This is an android app that is created to understand the implementation of ML-Kit in Android

MLKit implementation