# Foliage-walker: a trail planner that got me off the screen(and told me the truth about Bengaluru) published: true > Source: > Published: 2026-10-10 07:07:47+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)* foliage-walker takes a place name and finds the nearby named trail with the most tree cover. It picks the best-weather day this week, works out when to leave so you finish before sunset, and writes a short invitation. It also exports a GPX file, so you can load the route into an offline map and put your phone away. It's for walkers and runners who want to spend less time planning on a screen. I live in Bengaluru, where there's no autumn colour, so the tool had to learn to say so. In places with autumn forest it ranks trails by broadleaf (deciduous) cover. Where it doesn't, it falls back to overall green cover and tells you why. Give it a place. It finds the nearby named trail with the most tree cover, picks the best-weather day this week, works out when to leave before sunset, and has a **local open-weight LLM** write a short invitation. It exports a GPX file so you can load the route into an offline map and put your phone away. Built for the Hacktoberfest Open-Source AI Challenge, Week 1: Touch Grass. `qwen2.5:1.5b`): writes the invitation. No API keys or accounts. ``` ollama pull qwen2.5:1.5b python foliage_walker.py "Agara Lake, Bengaluru" --radius 4 --min-km 1.5 --model qwen2.5:1.5b ``` Python 3 standard library only. Outputs `plan.md` and `route.gpx` (open in Organic Maps or OsmAnd). The author developed and tested it on a… `--model` changes the model with one flag, so anyone with a bigger machine can use a bigger model.