Most wildlife camera trap images still get reviewed manually — one by one.
I built a system to change that.
A deployment-focused Wildlife AI pipeline that detects animals, processes batches of images, and runs locally using Docker.
Next step: making it explain what it sees using local AI (Ollama + RAG).
Would love thoughts from everyone in the community.
👉