## What I Built
Grass-CLI is an offline, terminal-based companion designed to get developers and outdoor enthusiasts off their screens and straight into nature. Built entirely as a command-line utility, it leverages local AI inference to generate hyper-personalized outdoor adventure itineraries, hiking trails, and trail notes with GPX and Markdown exports—all running locally on your laptop without requiring an active internet connection or a heavy web app UI.
## Demo
## Code
You can explore the full open-source codebase directly via our GitHub Repository.
How I Built It
Local Inference Runtime: Powered by Ollama running Qwen2.5-Coder locally on the machine to guarantee 100% offline capability and strict structured text parsing.
CLI Architecture: Built using Python to handle lightweight command execution, argument parsing, and structured terminal rendering.
Data Export: Automatically packages generated itineraries into clean Markdown and GPX files ready for offline mobile or GPS device usage on the trail.
Why Does Open Innovation Matter?
Open-source and local-first AI are what make Grass-CLI viable for the outdoors:
Zero Connectivity Required: When you are deep on a hiking trail or planning a remote trek, cloud APIs fail due to zero cellular signal. Running open-weight models locally means your terminal assistant works anywhere, mid-wilderness.
Absolute Privacy: Your favorite remote camping spots, personal location logs, and itinerary preferences stay completely on your machine—never logged or sent to a centralized remote server.
Zero Cost & Total Control: By utilizing open-weight local models, there are zero API subscription fees or rate limits, giving developers full ownership over prompt customization and model behavior.
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