The latest articles on DEV Community by Abhay Singh (@abhay_singh_13a8c9ab166db). https://dev.to/abhay_singh_13a8c9ab166db https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F4172977%2Fc2f4be72-e4a5-4bfb-9e6f-a4d2ab6491bf.png https://dev.to/abhay_singh_13a8c9ab166db en Abhay Singh Fri, 09 Oct 2026 11:22:20 +0000 https://dev.to/abhay_singh_13a8c9ab166db/touchgrass-ai-turn-a-few-free-minutes-into-an-outdoor-adventure-1f4i https://dev.to/abhay_singh_13a8c9ab166db/touchgrass-ai-turn-a-few-free-minutes-into-an-outdoor-adventure-1f4i <p>This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass<br> What I Built</p> <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Fffprmjqtmpufn5ixzimn.png" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Fffprmjqtmpufn5ixzimn.png" alt=" " width="800" height="1200"></a></p> <p>TouchGrass AI turns a nearby starting point, the time you have, and your mood into a short outdoor micro-adventure. It gives you three simple steps, then encourages you to put your phone away and go do them.<br> It’s for anyone who wants a quick reason to take a walk, explore a nearby park, or notice more of the nature around them.<br> Demo<br> Try TouchGrass AI<br> Code<br> View the source code on GitHub<br> How I Built It</p> <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2F45zyw8bony8orp1ehbsh.png" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2F45zyw8bony8orp1ehbsh.png" alt=" " width="800" height="410"></a></p> <p>I built TouchGrass AI with HTML, CSS, and JavaScript. It uses the open-source WebLLM runtime to run the open-weight Qwen2.5 1.5B Instruct model in the browser using WebGPU.<br> The user’s place, available time, and selected mood become a prompt for the model. It generates a short plan with a title, an introduction, and three steps. The first model download requires internet; after setup, inference runs locally in the browser.<br> Why Does Open Innovation Matter?<br> TouchGrass AI is meant to help people spend less time on screens, so I wanted the AI generation to work without sending their outing details to a hosted AI service. Local inference keeps the prompt on the user’s device and avoids needing an AI API key or paying per request.<br> Using open tools also makes the project easier to adapt: I can change the prompt, try a different supported model, and shape the guide around the experience I want to build.<br> My Agent Session<br> I don’t have a DevRelay session link to share.<br> Prize Categories<br> Open-Source AI Challenge — Touch Grass.</p> devchallenge hf26challenge