Inspiration
EpiSense is an AI-driven epidemic intelligence platform designed to act as an early-warning system for disease outbreaks by aggregating multi-source health signals.
What it does
a platform designed to detect disease outbreaks before they hit the clinical surge.
How we built it
Challenges we ran into
One of the biggest hurdles was distinguishing between a harmless data spike and a true epidemic threat. I learned to use cross-referencing to solve this. For example, a region with a $0\%$ vaccination rate and a high anomaly score ($20.3$) is flagged as High Risk, even if current cases are only $29$. This proactive logic is the core value of the project.
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