Meterra Logometerra
Digital Health
AI RAG

AI Nurse

Empowering users to track, analyze, and prevent health risks using AI-driven insights and a mobile-friendly experience.

The Challenge

Subtle, Episodic Symptoms
Many patients struggle to notice early signs of health deterioration, especially for mental or gastrointestinal issues that are subtle and episodic.
Need for Mobile-Friendly, Proactive Tools
The goal was to create a tool that empowers users to track, analyze, and prevent health risks using AI.

Our Solution: AI Nurse Health Assistant

We developed AI Nurse, an intelligent, personalized health assistant that helps users capture fragmented symptom data, analyze trends, and receive early risk alerts. The system transforms non-continuous health signals into structured, actionable insights.

Symptom Logging UI
A user-friendly dashboard for recording physical and emotional symptoms, optimized for daily check-ins with one-click logging.
AI Trend Prediction & Risk Alerts
The app predicts upcoming symptom trends over 7 days using a smart forecasting engine and provides cross-risk warnings based on symptom combinations.
Health Risk Matrix
A visual probability matrix highlights the statistical correlation between symptoms like insomnia, emotional decline, and digestive discomfort.
Tailored Health Tips
Based on symptom patterns, AI Nurse offers actionable suggestions—e.g., dietary adjustments or mindfulness practice.
RAG (Retrieval-Augmented Generation)
Integrates retrieval-augmented generation to provide up-to-date, context-aware health advice and answers, leveraging both AI and curated knowledge sources.

Technologies We Use

Modern, proven technologies to build robust health applications

React
Frontend
Next.js
Frontend
AI/ML Integration
AI/ML
Data Visualization
Visualization
Chinese Localization
Localization

Ready to Build the Future of Digital Health?

Like AI Nurse, you can leverage AI and data-driven design to empower users and improve outcomes. Let's discuss how we can help you create the next breakthrough in health technology.