This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass
TrailSpark AI is a small outdoor activity planner designed to use AI for the opposite of what we usually expect from AI: helping people leave the screen.
You tell TrailSpark:
It then turns those preferences into a short outdoor mission with a simple goal, something to notice, a playful challenge, and a stopping point.
The idea is simple:
Use AI for one minute → close the screen → go outside.
The project is aimed at students, remote workers, and anyone who wants a small push to spend more time outdoors without turning it into another complicated planning session.
🌐 Live Demo:
https://trailspark-lprbvtdsa-adityaraj3532.vercel.app/
Try entering your preferences and clicking Generate my mission.
The first generation can take a little longer because the open-weight model is downloaded and cached by the browser.
💻 GitHub Repository:
https://github.com/adityaraj3532/trailspark-ai
The project is a static web application built with HTML, CSS, and JavaScript.
The most important part of TrailSpark is that the AI runs locally in the browser.
I used:
The basic flow is:
text
User preferences
↓
Prompt template
↓
Xenova/flan-t5-small
↓
Local browser inference
↓
Outdoor mission
↓
📵 Close the screen
↓
🌿 Go outside