This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass SkyReader is a website that reads the sky. Take one photo of the clouds and it names the cloud type (cirrus, cumulonimbus, stratus and so on), checks live weather for your area, and gives a plain verdict: Go, Go with care, Wait, or Stay in, with the reasons and a short note on what those clouds usually mean.
It's built to make the screen the shortest part of going outside: look up, take one photo, get an answer in a few seconds, put the phone away. A built-in cloud atlas helps you learn to read the sky yourself, and a sky log later checks whether the tip held up against what actually happened.
It's for walkers, runners, hikers and anyone curious about the weather above them.
onnxruntime-web. Photos never leave the device.
| Result | Value |
|---|---|
| Top-1 accuracy, held-out test set | [after training] |
| Top-1 accuracy, my own phone photos | [after field test] |
| Verdict hit rate over [N] days | [after outcome checks] |
model.onnx and manifest and the app uses it, with no code changes.
[Add one honest comparison once measured, for example open model vs a closed API on your own photos.]
[Embed the DevRelay session with the agent_session tag, or link it.]
It wasn't a smooth run: the agent used bash syntax in PowerShell, started in the wrong repo and tried to open Notepad. Fixing that meant stricter prompts and stopping after each phase, and I'd recommend the same to anyone building with an agent.
[List the partner categories you qualify for, or remove this section.]