The latest articles on DEV Community by Tanvi Sharma (@tanvi_sharmaa_9a2907b9418). https://dev.to/tanvi_sharmaa_9a2907b9418 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%2F4150924%2F6561c937-e889-42cd-b3db-effd8a0dde8b.png https://dev.to/tanvi_sharmaa_9a2907b9418 en Tanvi Sharma Sat, 10 Oct 2026 12:13:50 +0000 https://dev.to/tanvi_sharmaa_9a2907b9418/i-built-touchgrass-ai-a-little-less-scrolling-a-little-more-outside-37kl https://dev.to/tanvi_sharmaa_9a2907b9418/i-built-touchgrass-ai-a-little-less-scrolling-a-little-more-outside-37kl <p>🌿 TouchGrass AI — Find Your Outside</p> <p>I built TouchGrass AI for the Hacktoberfest 2026 Week 1 “Touch Grass” challenge.</p> <p>It is a simple web app that suggests outdoor activities based on a user's mood, available time, and preferred outdoor setting.</p> <p>How it works</p> <p>The app uses HTML, CSS, and JavaScript for its interface and connects to a locally running Qwen 2.5 1.5B open-weight model through Ollama to generate suggestions.</p> <p>Why I built it</p> <p>I wanted to make a small tool that encourages people to take screen breaks, enjoy nature, and try simple outdoor activities.</p> <p>Why open-source AI?</p> <p>Running an open-weight model locally helped me learn how AI can be integrated into a web app without relying on a paid hosted AI API.</p> <p>Project link :<a href="https://github.com/07Tanvi/touchgrass-ai" rel="noopener noreferrer">https://github.com/07Tanvi/touchgrass-ai</a></p> <p>This is my beginner project, and I look forward to improving it further!</p> <p>#devchallenge #hf26challenge</p> devchallenge hf26challenge opensource ai