WildWalk: an open-source AI tool that gets you off your screen

Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass Submission 🌿

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass

WildWalk is a free, open-source web app that helps people step outside. You type your city, and it:

Then you switch on Pocket Mode: a full-screen timer, the phone goes into your pocket, and the guide plays. When the walk ends, you rate it. That rating goes back into the training data for the score model.

Who it is for: people who spend most of their day on screens and need a quick, clear reason to go out. Students, office workers and parents are the first audience I have in mind.

Honest current state: the TabPFN model is trained on synthetic seed data for now. Real ratings will improve it. The guide model is small (1B parameters), so the guides are simple. I would rather say that clearly than oversell it.

Video (1–2 min): https://github.com/Himanshu-5680/WildWalk/blob/main/docs/demo.mp4

WildWalk is a small, open-source tool that helps you decide whether to go outside today, and gives you a short audio guide for a screen-free walk. You enter your city. It checks the weather and air quality, gives the walk a score, suggests nearby places, and reads you a guide. Then you put your phone in your pocket and go.

Built for the Hacktoberfest 2026 Open-Source AI Challenge (Week 1: "Touch Grass").

Many people spend most of their day on screens and rarely go outside. Deciding whether a walk is worth it is often guesswork: is it too hot, is the air bad, where should I go? WildWalk gives one clear answer in one place, and helps you stay off your phone once you leave.