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AI & research

Multimodal AI Solver

Answer lab safety exam questions and other problems from a screen capture, photo or text: a clear answer with its reason, a second independent answer as a check, and a self-test of your model.

  • Lab safety exam
  • Answer check
  • Camera / screen
StableVersion 2026.10.1Validated 2026-10-14Capture, request formats for every provider, answer reading and the comparison of two independent answers are tested, and were run end to end against a reference model. Answers come from the model you choose: its accuracy is measured with the built-in self-test of 32 lab safety questions with settled answers, and answers where the two attempts differ are flagged.
Guide

Ask with your camera, a screen capture, or plain text. Use the private local demo, or connect your own AI provider for this page session.

Input​

Input mode
Camera off
Camera is off. It starts only after you choose Enable camera.

Model & prompt​

Bring your own key

Solver model

Private demo

Runs a local sample response without sending data or requiring a key.

No network request is made in demo mode. Provider presets follow the Universal AI Provider Registry, built from the OpenClaw and models.dev catalogs (checked 2026-10-14); any other model the provider serves can be entered by ID.

Answers lab safety exam questions (single choice, multiple choice, true/false) with the reason and the rule behind it, and checks each answer with a second independent answer.
Self-test

Before an exam, measure how well the selected model answers 32 lab safety questions with settled answers.

Preset instructions are applied automatically for the selected mode.

Response​

The answer appears here after you capture or ask.

Cite this work​

If you use the Digital Plant Phenotyping Platform v25.0 or any of its tools in your research, please cite it.

DOI10.5281/zenodo.17544584
APA

LiangchaoDeng. (2025). smiler488/smiler488.github.io: Digital Plant Phenotyping Platform v25.0 (v25.0.0). Zenodo. https://doi.org/10.5281/zenodo.17544584

BibTeX
@software{Deng2025_DPPP_v25,
  author       = {Deng, Liangchao},
  title        = {Digital Plant Phenotyping Platform (v25.0)},
  year         = {2025},
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.17544584},
  url          = {https://doi.org/10.5281/zenodo.17544584},
  note         = {[Computer software]}
}

In Zotero, open the File menu and choose Import from Clipboard.