This project is a demo on using CoreML framework for sentiment analysis of text. .mlmodel was developed from Scikit-learn Pipeline using coremltools python package. More details here : https://developer.apple.com/documentation/coreml/converting_trained_models_to_core_ml
NSLinguisticTagger provides a uniform interface to a variety of natural language processing functionality with support for many different languages and scripts. One can use this class to segment natural language text into paragraphs , sentences, or words and tag information about those segments such as parts of speech, lexical class, lemma!
PS: Please click on the Download Source and have a look at the GIF attached there to get a better idea of this project. Hi! I was working on an app where I had to show information about 10-12 different entities and each entity details are to be shown in a UICollectionView. Thought of adding some fancy element and I came up with this project. Would love your feedback. Please have a look at GIF attached to have a better idea of what I have come up with. Swift4.
This project is a clone of Instagram Home Feed using Storyboard and minimalistic code written in Swift4. This project is a part of whole Instagram clone I am working on. I felt HomeFeed is one of the difficult screens to build and so I made it as a separate project. Instagram Clone A-Z will be pushed in my profile soon
Sprite Kit is an exciting new framework for making 2D games that comes built-in to iOS. This project serves as an introduction to Sprite Kit where we build a small clone of Super Mario. Looking at the screenshots would give a better idea of what this project is about. All written in Swift4.
The facial detection API allows us to not only detect faces & facial features but also check those faces for particular properties such as if a smile is present or eyes are open etc. This is a simple app that recognizes a face in a photo and highlights it with a box. Also, it captures facial features like eyes, nose, lips, ears etc. All written i Swift4.
There are a lot of tutorials/ open source projects on how to use Vision and CoreML frameworks for Object Detection in real world using iOS apps using .mlmodels given by Apple. But seldom in reality, do we get a .mlmodel available suiting our use case. Here, I took up a Caffe model for the Oxford 102 flower dataset, which was converted to CoreML model using coremltools python package.
This project is a plug and play - Customisable Live Rendering Radial Progress Indicator. All written in Swift4 latest syntax. Based on CoreAnimation framework. One can use either Storyboard or code to customise: 1) Background image of Indicator 2) Color of Indicator 3) Background colour of Indicator View 4) Show/ hide percent text 5) Customise Percent text label 6) Show/ hide background image of Indicator View
This Project looks like nothing in the UI but it covers an important and complex topic in CoreData , i.e, writing data to Database in background thread so that UI does not get blocked. It uses Swift4 with a lot of reduction in boilerplate code. It also implements using a single managedobjectcontext.
This is a project showing how to fetch huge chunk of images via API and put them in a nice UICollectionView with parallax effect. It also covers adding a fancy expanding cell to UICollectionView, several auto layout-based labels, subtle parallax effects, and fading transitions to a standard Collection View. Written in Swift 3 Syntax.
This project is a clone of FB Messenger . Converted to Swift3 syntax (Courtesy: https://www.letsbuildthatapp.com/). It covers topics like: 1. Auto Layout Using Code 2. Core Data Entities: Create, Read, Delete and a lot more operations involving Core Data which would help in understanding the power of Core Data 3. Creating a Tab Bar Menu Programatically 4. Creating Chat Bubbles With Tails 5. How to Auto Update UICollectionView by inserting rows using NSFetchedResultsController 6. No Storyboards used
This project is a clone of AppStore . Converted to Swift3 syntax (Courtesy: https://www.letsbuildthatapp.com/).It covers topics like: 1) Layout structure of the application by using a UICollectionView which allows for horizontal scrolling for each category section of apps. 2) Integrating JSON data from a REST api service. 3) Perform Segue programatically. 4) Using NSLayout Constraints through out the app. 5) No Storyboards used at all!
This project is a clone of FB News Feed. Converted to Swift3 syntax (Courtesy: https://www.letsbuildthatapp.com/). It covers topics like: 1) Using a UICollectionView to make a vertical scrolling component 2) Dynamic Cell content and Loading Images 3) Load images asynchronously and caching using NSCache 4) Adding a custom UITabBar to suit to that of FB 5) Animation that zooms the image into the center of the screen All of the above with no StoryBoards used. Clean, re-usable code following MVC pattern.
This project covers: 1) UICollectionViewFlowLayout with all the auto-layout constraints added programatically 2) How to build custom tab bar as seen in YouTube app 3) URL session integration to build feed for Home screen. All written in Latest Swift 3 syntax following MVC pattern, re-usable code methodologies, extensions etc.Converted from Swift2 (Source: https://www.letsbuildthatapp.com) to Swift3.
This project covers adding a fancy expanding cell to UICollectionView, several auto layout-based labels, subtle parallax effects, and fading transitions to a standard Collection View. Written in Latest Swift Syntax. Converted from Swift2 to Swift3 (Source: https://www.raywenderlich.com)
This is a simple project showing UIScrollView with paging enabled and a straight forward Vertical Progress bar which animates as the user scrolls through the pages (number of pages are calculated dynamically based on content size). Written in latest Swift Syntax.
This project contains A-Z details of how to support concurrent downloads in Swift3 via remote URLs. Also saving the downloaded files to your local directory && viewing them in offline mode && also deleting downloaded files && re-downloading them. Download process is enhanced by Pause, Resume, Cancel, Progress bar controls. All written in Latest Swift Syntax in the most possible robust way.