Walking Challenge AI: An Open-Source AI That Sends You Outside 🚶

说明与用途

Walking Challenge AI 使用浏览器中的 Qwen2.5 Instruct 模型生成真实的步行挑战，无需服务器或 API 密钥，鼓励学生走出户外。

问题

Students spend most of the day on screens and need a simple, fun reason to step outside.

结果

The app provides a quick, privacy‑preserving way to generate walking challenges, encouraging users to step outside without relying on external APIs or servers.

工作流

• Choose walk time (10‑60 min), place (park, city, college, neighborhood) and difficulty (easy, medium, hard).
• The app builds a prompt and sends it to an open‑weight Qwen2.5 Instruct model running in the browser via Transformers.js.
• If the model output is unusable, the app falls back to a hand‑written bank of challenges.
• Walk, tick off completed challenges, and finish.
• The first run downloads the model (~1.2 GB) and caches it for future use.

证据

Walking Challenge AI is a small web app that turns an ordinary walk into a game.

来源

An open-weight model (Qwen2.5 Instruct) runs in your browser with Transformers.js and writes your challenges.

来源

The first run downloads the model (about 1.2 GB), so use Chrome or Edge and give it a minute.

来源