Inspiration
What it does
detect wildlife trafficking in social media
How I built it
JavaScript is used for the browser extension. ASP.NET is used for control panel
Challenges I ran into
wildlife trafficking detection for private groups
Accomplishments that I'm proud of
What I learned
What's next for WildlifeSaver
Complete the implementation of version 1.0 Version 2, Is to analyze the suspected Images by machine learning To determine the animal in the image, then match the animal’s name With the provided illegal trading animal database(this feature may need more hardware resources).
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