Inspiration
The inspiration was by how confusing it is to know where to go when something feels wrong. People often either overreact and go to the ER or wait too long when it's serious. We wanted to build a tool that gives clear, immediate guidance.
What it does
QuickTriage helps users decide the right level of care based on their symptoms. IT asks a short series of questions, combines rule based logic with AI, and provides a clear recommendation: stay home, visit urgent care or go to the ER. It also shows nearby facilities.
How we built it
We built the frontend using React and Tailwind for a fast and clean interface. A custom triage engine processes structured inputs, while Claude AI enhances the analysis using open-ended responses. Location services use browser geolocation and OpenStreetMap, with Google Maps links for directions.
Challenges we ran into
We built the frontend using React and Tailwind for a fast and clean interface. A custom triage engine processes structured inputs, while Claude AI enhances the analysis using open-ended responses. Location services use browser geolocation and OpenStreetMap, with Google Maps links for directions.
Accomplishments that we're proud of
We’re proud of building a system that combines structured logic with AI in a meaningful way. The app delivers clear, actionable recommendations instead of overwhelming users, and integrates real-time location-based care options.
What we learned
We learned how to design around decision-making rather than just information. We also gained experience integrating AI into a real product flow and handling edge cases where user input doesn’t fit predefined logic.
What's next for QuickTriage
Next, we plan to improve accuracy, expand condition coverage, and enhance location matching with more reliable data. We also want to personalize recommendations further and refine the overall user experience.
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