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Symtrack: Turning Symptoms into Signals
Problem Statement:
In healthcare, one of the biggest gaps lies in patient-reported symptoms. Many times, patients forget small details, underreport changes, or wait until symptoms become severe. This delay makes diagnosis harder, treatments less effective, and recovery longer. Without proper symptom tracking, doctors often get only half the story.
Proposed Solution:
Symtrack is a digital symptom tracker that works like a smart health journal. Patients log their daily symptoms, and the system uses data visualization and pattern recognition to highlight trends. For example, it can show if headaches are getting more frequent, if blood sugar variations align with lifestyle changes, or if certain triggers worsen conditions. Symtrack transforms scattered symptom notes into actionable medical insights, helping doctors make more accurate decisions, faster.
Who Benefits:
Patients → Early detection of health changes, better self-awareness.
Doctors → Reliable, structured data for accurate diagnosis.
Healthcare systems → Reduced costs by preventing late-stage complications.
Why This Matters to Me:
As an engineering student, I’m fascinated by how small patterns can reveal big truths. Just like engineers track data to predict failures in machines, we can track human symptoms to prevent health crises. Symtrack matters to me because it combines my love for problem-solving with my desire to improve lives—making healthcare not just reactive, but truly proactive.
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