Inspiration
The idea of identifying snakes while hiking. Users could take a photo of the snake and the app could provide information about the snake so in case of a snakebite, the correct antidote can quickly be found by emergency personnel.
What it does
A web app where a user can upload snake images and the snake in the image will be identified.
How we built it
We build the frontend using React and the backend using Flask. The model was implemented in Python using machine learning libraries.
Challenges we ran into
Setting up Python libraries and cleaning data.
Accomplishments that we're proud of
Getting the base of the web app done and the start of the snake identification model training.
What we learned
We about how to create the frontend and backend of a web app and how to work with Python machine learning libraries.
What's next for VenomGuard
Adding a chat feature that advises the user how to take care of the wound based on the identification. Sending a summary to a health care provider.
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