
Wildlife.ai
New Plymouth, New Zealand
About
Wildlife.ai is a charity based in New Plymouth, New Zealand working on nature & wildlife conservation, education, science & research +1 more.
Wildlife.ai is an independent charitable organisation based in New Plymouth, New Zealand, that uses artificial intelligence to accelerate wildlife and biodiversity conservation. It develops open-source, non-invasive conservation technologies, including the Wildlife Watcher smart camera trap, the Spyfish Aotearoa marine monitoring tools and the Pepeketua ID frog identification app. It provides tools and training to biologists, Indigenous communities, governments and community groups, and runs the Wild About AI education programme for students aged 10 to 14 in Aotearoa New Zealand. The organisation relies on a volunteer network of Data Rangers and citizen scientists, and works with the Department of Conservation, Te Papa Atawhai and academic partners on its projects.
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Wildlife Watcher
Nature & Wildlife conservation · New Zealand
An open-source, AI-powered smart camera trap that records animals and identifies species on the device, used for wildlife monitoring.
Spyfish Aotearoa
Nature & Wildlife conservation · New Zealand
A citizen science and machine learning approach to identify fish in baited underwater videos and monitor marine reserves, developed with the Department of Conservation.
Pepeketua ID
Nature & Wildlife conservation · New Zealand
An open-source pattern recognition app that helps identify individual Archey's frogs, a critically endangered New Zealand species.
Wild About AI
Education · New Zealand
An educational programme for students aged 10 to 14 that teaches how AI can support conservation, combining digital technology with te taiao and Māori perspectives, delivered through six lessons for teachers.
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Partnerships
Te Papa Atawhai, Department of Conservation, Southern Lakes Trust, New Zealand Herpetological Society, University of Auckland, Lincoln University, Kamahi, Rewild, Toi Foundation, Project Reef
People
Management & team (4)
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