Inspiration
none
What it does
predict hydrate formation anomalies
How we built it
machine learning model
Challenges we ran into
Understanding the problem in its entirety as well as how the data correlates to each other with each column. Figuring out how to make it a good application for the user while giving accurate data to the user with anomaly detections.
Accomplishments that we're proud of
Developing a working model, having multiple discussions with teammates, and making progress on our project. Made a figma design with the main component of the application with fully thought-out sections.
What we learned
Python in machine learning context, Flutter app development, and technologies like Twilio and SMTPlib.
What's next for Project??
We want to increase the accuracy of our code as well as fully develop the app itself in Flutter.
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