AI Expert System · Full-Stack

Diabetes Expert System

Intelligent clinical decision support system utilizing rule-based inference, symptom analysis, and risk stratification for early diabetes diagnosis, monitoring, and patient guidance.

Capabilities

Feature

Automated Clinical Questionnaire

  • Interactive questionnaire evaluating symptom profiles and biological risk markers
  • Real-time input validation with multi-step adaptive question progression
  • Rule-based inference logic assessing early diabetic risk stratification
Diabetes Expert System screenshot 1

Real-time Diagnostic Reports

  • Instant clinical risk stratification reports with numerical risk scores
  • Evidence-based dietary, fitness, and lifestyle recommendations
  • Exportable patient telemetry summaries for clinical follow-up
Diabetes Expert System screenshot 2

Administrative Telemetry Dashboard

  • Real-time telemetry tracking patient evaluations and trend metrics
  • Centralized patient record management with status indicators
  • Responsive multi-screen control center for clinical staff
Diabetes Expert System screenshot 3
Architecture & Stack

Technical

Forward-chaining rule inference engine for early diabetes risk assessment

Interactive symptom questionnaire with dynamic clinical stratification

Responsive clinical dashboard with patient metrics and diagnosis reports

Technologies Utilized
PythonFastAPIReactAI InferenceTailwind CSS
Selected Work

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