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avfoundation-camera-app

A camera app with a launch/splash screen with multiple functions each of which is a button, with added animation showing the strength and complexity of AVFoundation. This camera app can record videos, take pictures, switch cameras front and back also turn the flash on and off.

camera-app-with-uiimagepickercontroller-and-avfoundation-completely-programmatically

Demonstrating how to use the front camera, toggle camera flash and use the back camera with the UIImagePickerController and AVFoundation completely programmatically. Also saving and loading the image from the Photo Library, perhaps if the camera is unavailable.

collision-detection-in-spritekit

A simple SpriteKit project showing collision detection. The whole project is created completely programmatically without .sks files and Xcodes Scene Editor.

core-ml-and-vision-object-classifier-lightweight-version

Core ML and Vision object classifier with a lightweight trained model. The model is trained and tested with Create ML straight from Xcode Playgrounds with the dataset I provided.

coreml-and-vision-with-a-pre-trained-deep-learning-ssd-model

This project shows how to use CoreML and Vision with a pre-trained deep learning SSD (Single Shot MultiBox Detector) model. There are many variations of SSD. The one we’re going to use is MobileNetV2 as the backbone this model also has separable convolutions for the SSD layers, also known as SSDLite. This app can find the locations of several different types of objects in the image. The detections are described by bounding boxes, and for each bounding box, the model also predicts a class.

move-sprites-around-with-touches

Move Sprites Around With Touch in SpriteKit and Swift. This whole project is created completely programmatically without .sks files and Xcodes Scene Editor.

networking-with-rest-api-calls-and-urlsession-unit-tests-and-data-persistence-in-core-data

Networking in Swift with REST API calls and URLSession, that puts the parsed JSON Data in a TableView and persists the data using Core Data with CRUD (create, read, update, and delete). I used also Unit Tests to test URLSession asynchronous network operations and make the project as robust as possible. When the JSON data is parsed into the TableView we can easily delete the cell with a swipe, the TableView will then reload itself and Core Data will update and save the changes in realtime. There is also an option to send HTTP GET requests to the JSONPlaceholder server. This whole project is created completely programmatically without Storyboards and Interface Builder.

rhamzz

sweet-sweets-mania-spritekit-game-with-continuous-integration

A single player game in SpriteKit created completely programmatically without the use of .sks files and Xcode Scene Editor. Implemented continuous integration using Jenkins, Fastlane GitHub, and Unit Tests into one continuous integration system. So everything is automated from the first commit to the email notification at the end from Jenkins when the build finished. I used Firebase as a backend and implemented its Sign up/Login with Facebook and Anonymously into the app, and saved users data like: UID, email address, username and profile image into Firebase Database and Firebase Storage, likewise, I implemented a persistent store so all user data is saved after the user quits the app. During the development of the app, I followed the MVC design pattern, likewise, I used Sketch for creating most of the UI.

swift

OpenStack Storage (Swift)

swift-1

The Swift Programming Language

swiftyjson

The better way to deal with JSON data in Swift.