Ethical Sharks

Inspiration

We were inspired by the issue of illegal animal trade and shark finning. So we created a web application to adress those issues.

What it does

The website does the following functions: Seller Dashboard: It has the transactions and stock features where sellers update their transactions of animal sales for authorities to monitor by sending pics, text, or sheets. The same with stock where they send images of the stock of their animals by sending pics of how they are maintained and sold. So that authorities can monitor to see if proper sanitation and storage guidelines are being practiced. ML model: In this we made a ML model in which shark images are scanned and then sharks with fins and without fins are found out by the model. This is to solve the problem of shark-finning. It uses data of the images to scan and learn on its own through supervised learning to find the sharks with and without fins. Report feature: This is where users can report any attacks on animals or any illegal trade or any dire animals in need. We made this feature so that the community can help in solving animal related problems and also report illegal animal related activities.

How we built it

We built it by using django for the website and the seller dashboard along with the report function. The ML model was made using pre-made dataset we made and along with that we also used libraries like pandas, sci-kit learn, numpy, matplolib etc. We made it by creating a training and testing dataset and matplot lib to check the results visually.

Challenges we ran into

We ran into problems in django while making sure that the report button worked. We also ran into problems making the model with some errors compiling it as well as some errors making the dataset but we fixed them.