Connecting citizen scientists with conservation research
Ranger combines citizen science, AI, and blockchain to document and study wildlife in their natural habitats.
Using image recognition and decentralized storage, we create permanent records of wildlife sightings for use by the research community.
Users earn a point for each submission. These points are tracked onchain and may be redeemable in the future.
Ranger is currently in development; location data is randomly assigned to each image. In the future, we will incorporate verifiable location data in a compliant and privacy preserving manner.
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