Go Outside, Take a Photo, Let a Tiny AI Argue About It 🌇
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass I asked a small AI model on my laptop to tell me how the sky changed between two sunsets. It told me there were more clouds in the first photo. Then I swapped the photos, and it said the exact same thing. What I
Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass Submission 🌿
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass
I asked a small AI model on my laptop to tell me how the sky changed between two sunsets. It told me there were more clouds in the first photo. Then I swapped the photos, and it said the exact same thing.
Same Spot is a "what changed?" machine for the sky. 🌤️
Every evening the sky puts on a different show. Same terrace, same skyline, completely different mood. I wanted to know whether a small AI model running on my own laptop could notice those differences the way I do: more clouds, a pinker sky, a hazier horizon, or the camera simply pointing somewhere else.
How it gets you outside 🚶♀️ The photos are the whole point. You step outside at sunset, take a picture from the same spot, and go back to your life. The laptop only comes in afterwards, so the screen is the shortest part of the experience.
Who it's for 🌿 Anyone who keeps a loose record of a place: gardeners watching a patch of soil, hikers returning to a viewpoint, bird watchers, or people who just like watching the same sky.
The twist 🔄🧐 I don't trust the model's first answer. Every pair of photos is compared twice, in both directions, and I then check each claim against my own eyes. That's how I caught it inventing shadows, missing camera movement, and giving the same answer no matter which photo came first.
Everything runs offline on a CPU-only laptop, with no cloud, no account and no uploads. ☁️🚫
A local, no-cloud tool that compares photos of the same outdoor spot taken on different evenings, using an open-weight model (Gemma 3 4B via Ollama) on a CPU-only laptop.
- run\_all.py sends each pair of photos to Gemma 3 in both directions (forward and reversed)
- results are saved to SQLite and rendered in results.html
- a claim only counts if it survives the swap AND matches what I can see
1. Install Ollama and run ollama pull gemma3:4b
3. Edit the PHOTOS list in run\_all.py, then python run\_all.py