Inspiration
Decision for how limited resources are distributed are quintessential during emergencies where lives are on the line.
What it does
Help the government in decision-making by evaluating multiple factors such as population density to find the state which needs helps first.
How I built it
We separated development of Python Flask app, map populating and machine learning aspect before merging them together on the application
Challenges I ran into
Difficulty training Ml due to exponential curve and unknown parameters being introduced in the future(vaccined)
Accomplishments that I'm proud of
The entire project.
What I learned
Learn more about ML predication modal and displaying data on map.
What's next for Oncologic
Some shut-eye after this hackathon. No clear long-term plans as this project do not have monetary sustainability as it does not have a for-profit business model.
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