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    <title>DEV Community: knull-001</title>
    <description>The latest articles on DEV Community by knull-001 (@knull001).</description>
    <link>https://dev.to/knull001</link>
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      <title>DEV Community: knull-001</title>
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      <title>🌿 TouchGrass Quest</title>
      <dc:creator>knull-001</dc:creator>
      <pubDate>Sun, 11 Oct 2026 11:39:51 +0000</pubDate>
      <link>https://dev.to/knull001/touchgrass-quest-2j2g</link>
      <guid>https://dev.to/knull001/touchgrass-quest-2j2g</guid>
      <description>&lt;p&gt;I built TouchGrass Quest, a simple web app that encourages people to take a break from their screens and explore the outdoors.&lt;/p&gt;

&lt;p&gt;Users can choose a location, select how much time they have, and pick an activity mood. The app generates a small outdoor quest to help them observe nature, move around, relax, or get creative.&lt;/p&gt;

&lt;p&gt;I wanted to build something simple that could turn a few minutes away from the screen into a small real-world adventure.&lt;/p&gt;

&lt;p&gt;This was my first Hacktoberfest project, and I focused on making something lightweight that people can use directly in their browsers.&lt;/p&gt;

&lt;p&gt;Demo&lt;/p&gt;

&lt;p&gt;Try the live app here:&lt;/p&gt;

&lt;p&gt;&lt;a href="https://huggingface.co/spaces/yashkhokhar/TouchGrass_Quest" rel="noopener noreferrer"&gt;https://huggingface.co/spaces/yashkhokhar/TouchGrass_Quest&lt;/a&gt; &lt;/p&gt;

&lt;p&gt;Code&lt;/p&gt;

&lt;p&gt;The source code is available in my Hugging Face Space:&lt;/p&gt;

&lt;p&gt;&lt;a href="https://huggingface.co/spaces/yashkhokhar/TouchGrass_Quest/blob/main/index.html" rel="noopener noreferrer"&gt;https://huggingface.co/spaces/yashkhokhar/TouchGrass_Quest/blob/main/index.html&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;The project is built with HTML, CSS, and JavaScript.&lt;/p&gt;

&lt;p&gt;How I Built It&lt;/p&gt;

&lt;p&gt;I built the interface using HTML, CSS, and JavaScript and hosted it using Hugging Face Spaces with the Static SDK.&lt;/p&gt;

&lt;p&gt;For the AI functionality, I used Transformers.js with the Xenova/flan-t5-small model. This allows compatible model inference to run in the browser without setting up a separate Python server or paid inference API.&lt;/p&gt;

&lt;p&gt;The project taught me how to connect a browser interface to an open-weight language model and handle model loading and generated responses.&lt;/p&gt;

&lt;p&gt;The model's output is still basic, and there is plenty of room to improve the quality of the generated quests.&lt;/p&gt;

&lt;p&gt;Why Does Open Innovation Matter?&lt;/p&gt;

&lt;p&gt;Open innovation gave me an opportunity to experiment with AI without needing to run a large model on my own computer or depend on a paid AI API.&lt;/p&gt;

&lt;p&gt;Using an open-weight model and an open-source browser inference library made it possible for me to explore how AI works in a small web application.&lt;/p&gt;

&lt;p&gt;As a beginner, I found it valuable to learn by building something practical, even with limited hardware and experience.&lt;/p&gt;

&lt;p&gt;This project is an early step in my journey into open-source AI, and I hope to improve it further.&lt;/p&gt;

&lt;p&gt;My Agent Session&lt;/p&gt;

&lt;p&gt;I don't have an agent session to share for this project.&lt;/p&gt;

&lt;p&gt;Prize Categories&lt;/p&gt;

&lt;p&gt;No partner-specific category claimed.&lt;/p&gt;

&lt;h1&gt;
  
  
  devchallenge #hf26challenge
&lt;/h1&gt;

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