WHO BIT ME?

An Image of our website in action

Inspiration

As the SFU exchange programme begins, we could not help ourselves but think about the unfortunate students who will be sent to Australia. The biggest threat to workers and Australian residents is snake bites. Every Year 1.5 Million people DIE in Australia. So we were inspired to help people quickly identify the snakes that bit them and whether their lives are in trouble. We aim to save ALL 1.5 million Australians in trouble and cut snake bite victims in half.

What it does

You upload a picture of a snake to the website and it will be identified along with the symptoms, treatment, its lethality, and risk.

How we built it

One person created the snake detector AI model, one person created the website, one person worked on the database for the AI model, and one person worked on the Language Model API. After writing our code, we debugged, trained the model for two hours in two stages, and put everything together.

Challenges we ran into

Debugging the code, and linking everything together in the app. There were challenges with increasing the accuracy of the snake detection AI.

Accomplishments that we're proud of

The over 80% accuracy of the AI and getting the website to work.

What we learned

We learned how to do work on a pre-trained model to work on a specific thing, snakes in this case. How to train a specific part of the AI architecture. How to use image detection models, how to make web apps. How to make and manage API calls.

What's next for Bite Identifier

Improve accuracy even more. Call the ambulance if dangerous snake detected. Record location of snake bite and alert everyone nearby the location, and save locations to database for geographic/scientific research.