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https://github.com/aditi3/news-app-example

Application demonstrating fetching of top headlines from NewsAPI.org and usage of Core ML for categorisation of news articles.
https://github.com/aditi3/news-app-example

ios mobile-app news swift

Last synced: 2 days ago
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Application demonstrating fetching of top headlines from NewsAPI.org and usage of Core ML for categorisation of news articles.

Host: GitHub
URL: https://github.com/aditi3/news-app-example
Owner: Aditi3
License: mit
Created: 2020-12-17T08:41:55.000Z (almost 4 years ago)
Default Branch: main
Last Pushed: 2021-08-06T05:20:19.000Z (over 3 years ago)
Last Synced: 2023-03-10T13:30:29.389Z (over 1 year ago)
Topics: ios, mobile-app, news, swift
Language: Swift
Homepage:
Size: 13 MB
Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

README

        # 🗞 Hello News

[![License](https://img.shields.io/badge/license-MIT-blue.svg?style=flat)](http://mit-license.org)

[![Swift 5.0](https://img.shields.io/badge/Swift-5.0-orange.svg?style=flat)](https://developer.apple.com/swift/)

## 👋 Introduction

Application demonstrating fetching of top headlines from [NewsAPI.org](https://newsapi.org/docs) and usage of Core ML for categorisation of news articles.

## 📰 Features

- Fetch and Parse top headlines from [NewsAPI.org](https://newsapi.org/docs/endpoints/top-headlines)

- Adds Tableview and Detail view to showcase fetched articles data

- Showcase [Kingfisher](https://github.com/onevcat/Kingfisher) usage for downloading and caching images from the web

- Used [DocumentClassifier](https://github.com/toddkramer/DocumentClassifier) framework for classifying documents into one of five categories (Business, Entertainment, Politics, Sports, and Technology). It uses a **CoreML** model.

## 📄 License

Hello Crypto Tracker is available under the MIT license. See [LICENSE](https://github.com/Aditi3/crypto-tracker-example/blob/develop/LICENSE) for details.

## 📱 Screenshots