Wild Me-Wildlife Conservation AI

Example

Using pattern recognition algorithms, Wild Me can identify individual animals from photographs submitted by researchers and the public. This is crucial for studying the life history, migration, and population dynamics of species.

Scenario

In the conservation of whale sharks, Wild Me's algorithm identifies unique patterns on the shark's skin, similar to human fingerprints. This enables researchers to track the movements of individual whale sharks across the globe, contributing to marine conservation and the understanding of migratory patterns.

Example

Wild Me collects and analyzes vast amounts of data from various sources, including direct observations and photographs from citizen scientists, to create comprehensive databases on wildlife populations.

Scenario

For the Grevy's zebra conservation, Wild Me aggregates data from across Kenya and Ethiopia, providing insights into population sizes, health, and threats. This data supports conservation strategies and policy-making efforts to protect this endangered species.

Example

Wild Me leverages the global community of wildlife enthusiasts by enabling them to contribute to conservation efforts through photograph submissions and observations.

Scenario

By engaging scuba divers and snorkelers to submit photographs of manta rays, Wild Me gathers critical data on the species’ distribution and health, fostering a community-driven approach to the conservation of marine life.