We request the user for a seismic video of the body of water, which shows the boundaries of different rock types. We consider each frame in the image, and assign a score using the ML model between [0-9] on the amount of salinity (learn more about this score in "How we built it" on the Devpost. You can see a video at (https://youtu.be/8vPWhWSMnG8) of this process, and the code to generate this video can be found in the Google Colab linked in the Devpost.
This repository contains the server and client code for a live demonstration of the machine-learning model.
Youtube video:
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3rd Place Winner
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376 participants
- Frontend: React and TypeScript, Bootstrap, SASS
- Backend: Node.js, Express,js, Python, Tensorflow
Huge thanks to
for the fantastic teamwork, the Hack3 organizers, and the judges!