# My new project

> Source: <https://dev.to/aditya_raj_339f207a699603/my-new-project-277p>
> Published: 2026-10-06 10:11:57+00:00

*This is a submission for the [Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass](https://dev.to/challenges/hacktoberfest-week1-2026-10-05)*

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/](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](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
```