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Building GardenPlanner AI: An Offline-First Gardening Planner for Hacktoberfest 2026

#devchallenge #hf26challenge #ai #hacktoberfest

Hacktoberfest: Maintainer Spotlight

Why I built an offline-first gardening planner for Hacktoberfest 2026

Hacktoberfest 2026's Open Source AI Challenge has a theme this year: "Touch Grass". So I built exactly that — a gardening planner that works even when you're literally standing in the grass with no signal.

Repo: https://github.com/Zhiyilang/hacktoberfest-2026-ai

What it does

GardenPlanner AI is a zero-dependency, offline-first CLI that turns three inputs — city, month, and growing space — into a concrete planting plan:

  • Picks plants suited to your local climate and the current season
  • Flips the season correctly for the Southern Hemisphere (so July in Sydney is winter, not summer)
  • Pairs companion plants (what grows well together) and flags antagonists (what fights)
  • Prints a month-by-month task checklist so you know what to sow, transplant, or harvest
  • Adds pest/disease tips pulled from the plant database

Why "offline-first" matters

Most AI gardening tools are just a chatbot wrapper around a cloud API. That breaks the moment you're in the backyard. GardenPlanner AI ships with:

  • A built-in city → climate lookup table (no network needed)
  • A curated plant database with companions, antagonists, and care notes
  • Optional Ollama local-LLM integration for natural-language questions — but it runs perfectly fine without it 
python main.py --city "Shanghai" --month 10 --space balcony --level beginner
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No pip install. No API key. No signal. Just grass.

The AI part (without the cloud tax)

When Ollama is available, the planner answers questions like "What should I plant next to my tomatoes in a Shanghai autumn?" using a local model. When it isn't, it falls back to a deterministic rule engine — so the tool is never useless.

This is the design I like: AI is a layer, not a lifeline.

How you can contribute (Hacktoberfest)

This is a great first PR:

  1. Add a city to the climate table
  2. Add a plant (with companions/antagonists) to the database
  3. Translate the task-checklist copy
  4. Improve the pest-tip content

Every contribution is a recognized Hacktoberfest PR. Details in CONTRIBUTING notes in the repo.

Try it 

git clone https://github.com/Zhiyilang/hacktoberfest-2026-ai
cd hacktoberfest-2026-ai
python main.py --help
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Touch grass. Plan a garden. Ship a PR. Happy Hacktoberfest 2026.

Built for the #hf26challenge Open Source AI Challenge. ⭐ welcome if it helps you touch grass.

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