<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/">
  <channel>
    <title>Projects on CS Playground</title>
    <link>https://chae-jpg.github.io/categories/projects/</link>
    <description>Recent content in Projects on CS Playground</description>
    <image>
      <title>CS Playground</title>
      <url>https://chae-jpg.github.io/%3Clink%20or%20path%20of%20image%20for%20opengraph,%20twitter-cards%3E</url>
      <link>https://chae-jpg.github.io/%3Clink%20or%20path%20of%20image%20for%20opengraph,%20twitter-cards%3E</link>
    </image>
    <generator>Hugo -- 0.152.2</generator>
    <language>en</language>
    <lastBuildDate>Thu, 15 Feb 2024 00:00:00 +0900</lastBuildDate>
    <atom:link href="https://chae-jpg.github.io/categories/projects/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>React Todo Application</title>
      <link>https://chae-jpg.github.io/projects/react-todo-app/</link>
      <pubDate>Thu, 15 Feb 2024 00:00:00 +0900</pubDate>
      <guid>https://chae-jpg.github.io/projects/react-todo-app/</guid>
      <description>A modern todo application built with React, featuring state management and local storage</description>
    </item>
    <item>
      <title>Machine Learning Image Classifier</title>
      <link>https://chae-jpg.github.io/projects/machine-learning-classifier/</link>
      <pubDate>Thu, 01 Feb 2024 00:00:00 +0900</pubDate>
      <guid>https://chae-jpg.github.io/projects/machine-learning-classifier/</guid>
      <description>A deep learning model for image classification using TensorFlow and Keras</description>
    </item>
    <item>
      <title>Web Scraper with Python</title>
      <link>https://chae-jpg.github.io/projects/web-scraper/</link>
      <pubDate>Mon, 15 Jan 2024 00:00:00 +0900</pubDate>
      <guid>https://chae-jpg.github.io/projects/web-scraper/</guid>
      <description>A robust web scraper built with Python and BeautifulSoup for data collection</description>
    </item>
  </channel>
</rss>
