The latest articles on DEV Community by Aakash Jain (@aakash_jain_91c5b96d22739). https://dev.to/aakash_jain_91c5b96d22739 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%2F4169163%2Fe9422f94-d63d-4425-b9d1-5d3672a2cf58.jpg https://dev.to/aakash_jain_91c5b96d22739 en Aakash Jain Mon, 12 Oct 2026 15:47:42 +0000 https://dev.to/aakash_jain_91c5b96d22739/outdoorai-less-scrolling-more-living-488h https://dev.to/aakash_jain_91c5b96d22739/outdoorai-less-scrolling-more-living-488h <h1> OutdoorAI 🌿 — Less Scrolling, More Living </h1> <p><strong>GitHub:</strong> <a href="https://github.com/Jnaakash/outdoor-ai" rel="noopener noreferrer">https://github.com/Jnaakash/outdoor-ai</a></p> <h2> What I Built </h2> <p>OutdoorAI is an AI-powered outdoor adventure planner designed to help people spend less time on screens and more time exploring the world around them.</p> <p>Users enter their location, available time, preferred activity, and budget. OutdoorAI generates a personalized plan with suggested activities, an estimated budget, preparation tips, safety reminders, and a phone-free challenge.</p> <h2> Why I Built It </h2> <p>It is easy to spend hours looking at a screen while planning things to do outside. I wanted to build a simple tool that makes planning easier and encourages people to step away from their devices.</p> <h2> How It Works </h2> <ul> <li> <strong>Frontend:</strong> React and Vite</li> <li> <strong>Backend:</strong> Node.js and Express</li> <li> <strong>AI integration:</strong> Google Gemini API</li> <li> <strong>Input:</strong> Location, duration, activity, and budget</li> <li> <strong>Output:</strong> A personalized outdoor adventure plan</li> </ul> <h2> What I Learned </h2> <p>Building OutdoorAI helped me practise connecting a frontend to a backend API, handling environment variables, integrating an AI model, and publishing a project on GitHub.</p> <h2> What's Next </h2> <p>I plan to improve the plan formatting, strengthen error handling, and explore open-weight AI models so the project can better support open-source AI use cases.</p> <h2> Project Links </h2> <ul> <li> <strong>GitHub repository:</strong> <a href="https://github.com/Jnaakash/outdoor-ai" rel="noopener noreferrer">https://github.com/Jnaakash/outdoor-ai</a> </li> </ul> <p><em>Note: OutdoorAI currently uses the hosted Google Gemini API. Open-weight model integration is a planned improvement, not a current feature.</em></p> devchallenge hf26challenge