I vibe coded a Trail Bingo tailored to your Location and Season
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass What I Built I spend too much time on screens, so for the Touch Grass theme I wanted to build something where the screen is the shortest part of the experience. What it is Trail Bingo is a single Python script. You tell it where you’re going and how long you have: python3 trail_bingo.py --place "forest trail…
I crafted a Trail Bingo experience that adapts to your location and the time of year. This single Python script generates a printable 3x3 nature bingo card based on where you are going and how long you plan to be there. The challenges on the card are tailored to fit the environment, the current season, and the amount of time you have.
For example, you might need to spot something green smaller than your thumbnail, listen for a bird you can't see, or find three shades of brown. The card always has a center square instructing you to stand still for one full minute. Once completed, you answer a reflection question about your experience. The card is printed, and you put your phone away as you head outside.
The code for this project, TrailBingo, is a simple Python file that utilizes an open-weight model called gemma4 running locally through Ollama. The model writes context-aware challenge ideas based on the place, season, and duration provided. The entire process occurs offline, with no need for an API key, account, or cloud service.
This design ensures that you can use Trail Bingo anywhere without relying on a stable internet connection. After downloading the model once, the tool runs entirely offline, preserving your privacy by keeping your location to yourself.
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