This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass
What I Built
I built WalkQuest AI, a local AI-powered outdoor adventure generator.
The idea is simple: instead of using AI to keep people on their screens, WalkQuest AI uses AI to encourage people to put the screen down and go outside.
Users enter:
- 📍 Their walking location
- ⏱️ Available time
- 🥾 Difficulty
WalkQuest AI then generates a short outdoor quest with:
- 🎯 4 walking missions
- 🦺 A safety tip
- 🌱 Touch Grass Score
- 📵 A screen-free quest rule
Users can check off each mission and complete their quest to earn 100 XP.
It is designed for students, developers, and anyone who wants a simple reason to go outside and explore their surroundings.
Demo
1. Generate a Walking Quest
2. AI-Generated Outdoor Quest
3. Quest Completed
Here is the WalkQuest AI demo flow:
1. Generate a Quest
The user selects a location, duration, and difficulty.
2. AI Generates the Adventure
Gemma creates four outdoor missions, a safety tip, and a Touch Grass Score.
3. Complete the Quest
Users check off all four missions.
4. Quest Completed
After completing all missions:
🌱 Quest Completed!
🏆 Touch Grass Achievement
⭐ 100 XP
The complete source code is available on GitHub:
🌱 WalkQuest AI
Turn a walk into an adventure.
WalkQuest AI is a simple AI-powered app that generates fun outdoor walking quests based on location, duration and difficulty.
✨ Features
- 🌱 AI-generated walking quests
- 📍 Location selection
- ⏱️ Duration selection
- 🥾 Difficulty selection
- 🎯 4 walking missions
- 🦺 Safety tips
- 🌱 Touch Grass Score
- 🏆 Mission completion tracker
- 💯 100 XP achievement
🛠️ Tech Stack
- Python
- Streamlit
- Ollama
- Gemma 3 1B
📂 Project Structure
WalkQuest-AI/
├── app.py
├── prompts.py
├── requirements.txt
└── README.md
The project is open source and can be run locally with Python, Streamlit, Ollama, and Gemma 3 1B.
How I Built It
WalkQuest AI is built with:
- Python
- Streamlit
- Ollama
- Gemma 3 1B
The architecture is:
User Input
↓
Streamlit
↓
Ollama
↓
Gemma 3 1B
↓
Generated Outdoor Quest
↓
Quest Completion
I used Gemma 3 1B locally through Ollama as the AI engine.
The AI is responsible for generating the walking quests based on the user's location, available time, and difficulty.
The application also includes rules in the prompt to keep quests short, safe, realistic, and focused on outdoor activities.
Why Does Open Innovation Matter?
Open innovation makes it possible to experiment with AI in a way that is more accessible and controllable for developers.
For WalkQuest AI, running Gemma locally through Ollama allowed me to build around an AI model without making a paid cloud API the core dependency of the application.
It also gave me the freedom to design the AI experience specifically around the project's goal: encouraging people to spend less time on screens and more time outdoors.
This project showed me that AI does not always have to keep people online.
It can also be used to encourage people to step away from the screen.
My Agent Session
Not used for this project.
Prize Categories
Best Use of Gemma
I am entering the Best Use of Gemma category.
WalkQuest AI uses Gemma 3 1B locally through Ollama to generate personalized outdoor quests.
Final Thought
AI can be more than a tool for spending more time online.
Sometimes, the best AI experience is one that tells you:
📵 Put the phone down.
🌱 Go outside.
🚶 Touch Grass.
#devchallenge #hf26challenge
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