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MedCore AI - Implementation Plan

Goal Description

MedCore AI is an interdisciplinary platform that integrates Medicine with Computer Science. It provides a modern, AI-assisted interface for preliminary symptom checking, patient data management, and consultation scheduling.

This project covers the full SDLC as per requirements:

  • Interdisciplinarity: Merging medical knowledge (symptom mapping) with software engineering (React, data management).
  • Scope: Full lifecycle from requirements to documentation.

Proposed Changes

1. Project Foundation [NEW]

  • Initialize Vite + React project in c:\Github\pr_lab.
  • Configure index.css with a premium medical-themed design system (Glassmorphism, deep blues/teals, white).

2. Frontend Components [NEW]

  • Patient Dashboard: Overview of health metrics and upcoming appointments.
  • Symptom Checker UI: Stepper-based interface for inputting symptoms and receiving AI-simulated analysis.
  • Doctor Discovery: Search and book specialists.

3. Medical Integration [NEW]

  • Symptom Knowledge Base: A structured dataset mapping symptoms to potential conditions (Interdisciplinary component).
  • Health Data Visualization: Charts for tracking patient vitals.

4. Project Management & SDLC

  • Agile/Scrum: Use a backlog.md (or the existing task list) to simulate sprints.
  • Documentation: Generate technical specs and a user manual.

Verification Plan

Automated Tests

  • Run npm run test (if unit tests are added).
  • Validate component rendering using browser subagent.

Manual Verification

  • Walk through the Symptom Checker flow to ensure logical transitions.
  • Verify the responsiveness and "premium" feel of the UI.