Healthcare facilities in many regions face high patient congestion, which delays initial assessment and prioritization of cases. Patients often arrive without structured pre-assessment, making it difficult to identify urgent cases efficiently.

EMEC is a health-support system designed to assist with early patient assessment through a triage-based classification system and a Personal Health Record (PHR) module. The triage system evaluates patient-reported symptoms and categorizes cases into severity levels. For mild cases, the system provides basic first-aid guidance. For severe cases, it recommends immediate medical attention. The PHR module allows structured storage of patient information, which can support better-informed health decisions.

EMEC was built using React, TypeScript, Vite, Tailwind CSS, and shadcn/ui. Development was accelerated using AI-assisted tools while the project concept, feature design, testing, and refinement were guided by the team.

As high school students, we had limited experience in full system development and limited access to advanced tools. Despite this, we focused on building a functional prototype that demonstrates the core concept.

We plan to enhance EMEC by improving the triage logic, adding offline support, and expanding the system to integrate more structured medical datasets and user-friendly interfaces.

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