planet saving

Inspiration

We have discovered that trafficking in wild animals continues to increase on social networks illegally as consumers go to social media via the Internet to sell them illegally and monitor it is difficult manually and expensive

What it does

The NMI(Neural network , Machine learning , Image processing) is designed to reduce wildlife trafficking and is uploaded directly to social media and serves as a sorting site to identify wild animals sold. Alerts Conservationists and law enforcement officials With the necessary information about the merchants to carry out their punishment and are prevented from removing their communication sites for use as evidence.

How we built it

Using Neural Network to identify the images of animals , thousands of images that contain pictures of wild animals are used . and the image processing is used to increase the resolution of images to be used in matching , all parts of the body will be cut in small images to be used in image matching too . Machine learning is used to track the writing on social media like posting or messaging or searching.

Challenges we ran into

1 - How can we automatically identify animals or wildlife materials that are of interest, from information available on social media? 2 - How can we identify a wildlife material once it has changed shape from original form? 3 - How can we detect networks of individuals via social media that will illuminate illicit trade routes? 4- Security and protection features

Accomplishments that we're proud of

What we learned

Team work is the best thing to improve the communication skills and we learned a lot about technologies we were not interested in .

What's next for planet saving

we are looking for getting deeper into these problems and learn more about the technologies that we had known to solve the problems Efficiently. And we are looking for the generalization not only social media sites or application .