AI Symptom Checker
Structured symptom reasoning with safe triage layers
This checker now combines a stronger local rule engine, optional OpenAI structured reasoning, result storage for analytics, and schema-ready health content linking.
Safety Note
This tool does not diagnose disease. It supports responsible intake, red-flag escalation, educational article linking, and clinician follow-up routing.
Checker Form
Output Block
Likely conditions
Results are scored against common patterns like malaria, diabetes, typhoid-like illness, respiratory infection, and hypertension-related concern.
Output Block
Recommended next steps
Each result includes self-care guidance, escalation signals, follow-up questions, and urgency-aware care direction.
Output Block
Care conversion
Users can move from triage into consultation, WhatsApp support, and linked condition guides without losing context.
Schema Focus
Structured data blueprint
This page already includes three schema layers: `MedicalWebPage`, `WebApplication`, and `FAQPage`.
That gives you strong SEO and health-intent structure while the checker runs both local scoring and optional OpenAI-backed reasoning.
Content Schema
Article schema examples to connect next
Malaria
Malaria: Symptoms, Causes, Treatment & Prevention in Nigeria
malaria-symptoms-causes-treatment-nigeria
Diabetes
Diabetes: Symptoms, Causes, and Management
diabetes-symptoms-causes-management
FAQ Structure
Does this replace a doctor?
No. It supports triage and education, then routes users toward care.
What symptoms should be entered?
Users should enter symptoms, duration, severity, and urgent warning signs.
Can results connect to content?
Yes. The page is designed to link results to blog guides like malaria and diabetes.