Discussions

Hey Fishbase team and community,
Love what you've built with the API—it's a goldmine for anyone pulling in biodiversity data, especially on fish species distributions, traits, and ecology. I'm running a site called AI Review HQ (aireviewhq.com) where we break down AI tools across niches like healthcare, content creation, and even environmental tech. Lately, I've been thinking about how tools like this could level up with some AI smarts, and Fishbase feels like a perfect fit.
A couple ideas rattling around in my head:

Natural language querying: Imagine plugging in something like GPT-style prompts to fetch data—e.g., "Show me migratory patterns for tuna in the Pacific during El Niño years." Would that be feasible with your endpoints, or are there rate limits/extensions we'd need to watch? I've seen similar setups in other bio APIs, but yours seems primed for it.
AI-driven insights: For apps in conservation or fisheries management, could we layer on simple ML models (maybe via Python libs like scikit-learn) to predict stuff like species vulnerability based on your habitat/climate data? Any quick-start examples or gotchas for folks new to blending this with AI workflows?

Curious if you've got docs, sample code, or even beta features for this kinda thing. Or if anyone's here already hacking AI + Fishbase projects? Would love pointers to get a prototype rolling—could make for a fun review piece on the site.