android10 /
Android-CleanArchitecture
This is a sample app that is part of a series of blog posts I have written about how to architect an android application using Uncle Bob's clean architecture approach.
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Mohammed-Benotmane / repository
this app is my first calculator
this app is my first calculator



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android10 /
This is a sample app that is part of a series of blog posts I have written about how to architect an android application using Uncle Bob's clean architecture approach.
plutonicdev /
Dating UI kit is used for online meet up with girls and boys . The screen contains more than 30 icons and most of all required elements required to design an application like this. The XML and JAVA files contains comments at each and every point for easy understanding. Everything was made with a detail oriented style and followed by today's web trends. Clean coded & Layers are well-organized, carefully named, and grouped.
PriyanshuArora2001 /
This is a food donation android application designed to reduce food wastage by donating excess food to poor or needy peoples. This application is based on JAVA and currently under the development phase.
plutonicdev /
Grocery store template is created as a wonderful solution for any agricultural or organic food shop Android App UI template. It is a template for an Android developer that want to create grocery application with a clean design. The template is only lay outing without data flow and communication with the backend system. This UI Template can reduce your development time and will loved by developer that hate lay outing design! You can use this app as one big super market app to sale product of your store. This app make easy for user to buy product from store with easy steps and store can get easy order.
android10 /
This is a sample app that is part of blog posts I have written about how to test android applications using Kotlin.
ibrahimcanerdogan /
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.