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AI Health Advisory Assistant

An AI-assisted health advisory application combining vital analysis, conversational guidance, and an AIoT-oriented monitoring workflow.

LivePython · Flask · Groq API · HTML · CSS · JavaScript · ESP32 Prototyping · Sensor Integration · Render

Problem

Vital readings can be difficult to interpret in isolation, while basic monitoring interfaces often separate sensor data from contextual guidance.

Approach

The application combines vital-input analysis, rule-based risk levels, conversational AI guidance, and an AIoT-oriented monitoring mode within one user-facing product.

Outcome / Learning

A working AI/AIoT application exploring how connected vital data and AI-assisted interpretation can be brought together within one interface.

Key Features

  • Vital analysis
  • Normal, caution, high-caution, and emergency risk handling
  • Live-monitor workflow
  • AI chat
  • AIoT prototyping and sensor integration
  • Responsive interface