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    <title>DEV Community: Urvashi Agrawal</title>
    <description>The latest articles on DEV Community by Urvashi Agrawal (@urvashiagrawaldev).</description>
    <link>https://dev.to/urvashiagrawaldev</link>
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      <title>DEV Community: Urvashi Agrawal</title>
      <link>https://dev.to/urvashiagrawaldev</link>
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    <item>
      <title>Can i make a money from DEV ??</title>
      <dc:creator>Urvashi Agrawal</dc:creator>
      <pubDate>Sun, 20 Jul 2025 19:06:01 +0000</pubDate>
      <link>https://dev.to/urvashiagrawaldev/can-i-make-a-money-from-dev--35h9</link>
      <guid>https://dev.to/urvashiagrawaldev/can-i-make-a-money-from-dev--35h9</guid>
      <description></description>
      <category>career</category>
      <category>discuss</category>
    </item>
    <item>
      <title>Cooking a Modern Office Intranet:Where the recipes are HTML,CSS &amp; JavaScript and it is Inspired by Axero</title>
      <dc:creator>Urvashi Agrawal</dc:creator>
      <pubDate>Sun, 13 Jul 2025 23:37:29 +0000</pubDate>
      <link>https://dev.to/urvashiagrawaldev/cooking-a-modern-office-intranetwhere-the-recipes-are-htmlcss-javascript-and-it-is-inspired-by-4e8l</link>
      <guid>https://dev.to/urvashiagrawaldev/cooking-a-modern-office-intranetwhere-the-recipes-are-htmlcss-javascript-and-it-is-inspired-by-4e8l</guid>
      <description>&lt;p&gt;&lt;em&gt;This is a submission for &lt;a href="https://dev.to/challenges/frontend/axero"&gt;Frontend Challenge: Office Edition sponsored by Axero, Holistic Webdev: Office Space&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;

&lt;h2&gt;
  
  
  What I Built
&lt;/h2&gt;

&lt;p&gt;I created NovaCorp Intranet, a modern employee portal designed to streamline internal communications and productivity. This responsive web application features:&lt;/p&gt;

&lt;p&gt;Dynamic Theme Switching: Smooth dark/light mode transitions with system preference detection&lt;/p&gt;

&lt;p&gt;Interactive Dashboard: Company news, upcoming events, and quick resources sections&lt;/p&gt;

&lt;p&gt;Employee Spotlight: Team member highlights with hover effects&lt;/p&gt;

&lt;p&gt;Responsive Design: Fully functional across all device sizes&lt;/p&gt;

&lt;p&gt;Persistent Preferences: Remembers user theme choices via localStorage&lt;/p&gt;

&lt;h2&gt;
  
  
  Demo
&lt;/h2&gt;

&lt;p&gt;live site : frontend-challenge-a3xn.vercel.app&lt;br&gt;
source code : &lt;a href="https://github.com/urvashi-agrawal-dev/Frontend-Challenge" rel="noopener noreferrer"&gt;https://github.com/urvashi-agrawal-dev/Frontend-Challenge&lt;/a&gt;&lt;/p&gt;

&lt;h2&gt;
  
  
  Journey
&lt;/h2&gt;

&lt;p&gt;&lt;strong&gt;Key Features Implemented&lt;/strong&gt;&lt;br&gt;
&lt;strong&gt;Theme Engine:&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;CSS variables for consistent theming&lt;/p&gt;

&lt;p&gt;Animated transitions between modes&lt;/p&gt;

&lt;p&gt;OS-level preference detection&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Dashboard Components:&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;News feed with timestamped entries&lt;/p&gt;

&lt;p&gt;Interactive event calendar&lt;/p&gt;

&lt;p&gt;Quick-access resource grid&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Technical Choices:&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;Pure CSS (no frameworks) for maximum performance&lt;/p&gt;

&lt;p&gt;Semantic HTML5 for accessibility&lt;/p&gt;

&lt;p&gt;Mobile-first responsive approach&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Challenges Overcome&lt;/strong&gt;&lt;br&gt;
Theme Persistence: Solved localStorage integration for remembering user preferences&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Color Contrast&lt;/strong&gt;: Carefully tested accessibility in both themes&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Performance&lt;/strong&gt;: Optimized assets and minimized reflows for smooth animations&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;What I Learned&lt;/strong&gt;&lt;br&gt;
Advanced CSS variable manipulation&lt;/p&gt;

&lt;p&gt;System preference media queries&lt;/p&gt;

&lt;p&gt;The importance of reduced motion preferences&lt;/p&gt;

&lt;p&gt;How to create intuitive UI patterns for theme switching&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;License&lt;/strong&gt;&lt;br&gt;
This project is licensed under the MIT License - feel free to use it as inspiration for your own projects!&lt;/p&gt;

</description>
      <category>webdev</category>
      <category>ux</category>
      <category>javascript</category>
      <category>beginners</category>
    </item>
    <item>
      <title>Hilarious Guide to Python Libraries: Meet the Machine Learning Family 😂</title>
      <dc:creator>Urvashi Agrawal</dc:creator>
      <pubDate>Mon, 30 Jun 2025 19:36:59 +0000</pubDate>
      <link>https://dev.to/urvashiagrawaldev/hilarious-guide-to-python-libraries-meet-the-machine-learning-family-4cok</link>
      <guid>https://dev.to/urvashiagrawaldev/hilarious-guide-to-python-libraries-meet-the-machine-learning-family-4cok</guid>
      <description>&lt;p&gt;📘 CV (Computer Vision) — The Memory Book&lt;br&gt;
CV is like your pre-written diary 📓 — storing memories, visuals, and moments. It holds the data of your world and helps you build thoughts, predictions, or even recognize your favorite dog filter 🐶.&lt;/p&gt;

&lt;p&gt;👩‍👧 OpenCV — The Super Mom&lt;br&gt;
She knows everything.&lt;/p&gt;

&lt;p&gt;How many kids are in the frame (object detection) 🧒👧&lt;br&gt;
What they’re doing (video processing) 🎥&lt;br&gt;
What they secretly like (filters, color detection) 🎨&lt;br&gt;
And just like every mom, she’s open source… and still tells your dad everything even when you said,&lt;/p&gt;

&lt;p&gt;“Please don’t tell papa!” 😩&lt;/p&gt;

&lt;p&gt;👴 TensorFlow — The Grandfather&lt;br&gt;
Respected. Predictable. A little strict.&lt;br&gt;
Everyone in the town knows him. He’s the backbone of the family and has seen things (like 500-layer neural networks).&lt;br&gt;
Your dad (Deep Learning 👨) depends on him. And when life gets hard… you go to Dadaji for advice.&lt;/p&gt;

&lt;p&gt;🧑‍🎓 SimpleCV — The Curious Student&lt;br&gt;
That’s us — the students, tinkerers, and weekend hackers.&lt;br&gt;
We’re building object detection models like science fair projects 🎓.&lt;br&gt;
We may be open source, but our real power?&lt;/p&gt;

&lt;p&gt;Showing off cool stuff we barely understand 😎&lt;/p&gt;

&lt;p&gt;👶 Caffe — The Shy Kid&lt;br&gt;
This little one doesn’t like to leave his parents 👩‍👦&lt;br&gt;
But say “Hi 👋” and he instantly recognizes you — face, voice, and all.&lt;br&gt;
A bit old-school, but he responds exactly how you’d expect.&lt;br&gt;
Just… don’t ask him to learn new tricks 😅&lt;/p&gt;

&lt;p&gt;🧑‍💻 PyTorch — The Cool Older Sibling&lt;br&gt;
Always there for you, fast, flexible, and helpful.&lt;br&gt;
He gets your vibe.&lt;br&gt;
You need object detection? ✅&lt;br&gt;
Image segmentation? ✅&lt;br&gt;
Confused by something? He explains it in plain English.&lt;/p&gt;

&lt;p&gt;He’s the reason you can say:&lt;/p&gt;

&lt;p&gt;“Bro, I trained a model in one night.” 🔥&lt;/p&gt;

&lt;p&gt;👸 Keras — The Popular Bestie&lt;br&gt;
Sweet. Simple. And everyone loves her.&lt;br&gt;
Backed by a massive squad 💅, she helps you build neural networks without crying into your keyboard.&lt;br&gt;
She’s got your back in every ML project, and makes you look smart on GitHub 😏&lt;/p&gt;

&lt;p&gt;🤓 Detectron2 — The Nerdy Genius&lt;br&gt;
You know that one friend who even corrects the teacher?&lt;br&gt;
That’s him.&lt;br&gt;
He detects objects, masks, poses — you name it 🧠&lt;br&gt;
If you’re stuck, he’s the backend magician you secretly rely on during hackathons.&lt;/p&gt;

&lt;p&gt;🇺🇸 Kociemba — The Problem Solver President&lt;br&gt;
No one knows how he does it, but…&lt;br&gt;
He solves problems(this library is used for Rubik’s Cubes) faster than you can say “machine learning.”&lt;br&gt;
He’s not flashy, but when you’re in a jam,&lt;/p&gt;

&lt;p&gt;He saves the day like a true leader. 🧩💼&lt;/p&gt;

&lt;p&gt;🧢 YOLO — The Reckless Genius&lt;br&gt;
You Only Look Once.&lt;br&gt;
That’s it.&lt;br&gt;
One glance and boom — he knows everything.&lt;br&gt;
He’s the YOLO swag guy in your friend circle who says:&lt;/p&gt;

&lt;p&gt;“Why overthink? Just detect it all in one go.” 😎💥&lt;/p&gt;

</description>
      <category>python</category>
      <category>machinelearning</category>
      <category>opencv</category>
      <category>deeplearning</category>
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