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JavaScript
AIMed-Compliance
What the project does** – Evaluates AI‑generated medical responses for accuracy, regulatory compliance (HIPAA, GDPR), bias, and security, offering tools to test and compare LLM outputs before deployment in healthcare settings.
System Overview
What the project does – Evaluates AI‑generated medical responses for accuracy, regulatory compliance (HIPAA, GDPR), bias, and security, offering tools to test and compare LLM outputs before deployment in healthcare settings.
Key features – Medical chatbot, AI model comparison dashboard, automated compliance checker, adversarial‑prompt security filter, bias detector (gender, race, socioeconomic), AI guidelines reference page, PDF export of results.
Tech stack – Frontend built with React JS, Tailwind CSS, and Chart.js; backend API calls via OpenRouter.ai; PDF generation using jsPDF + autoTable; hosted on Vercel (GitHub CI/CD).
Use case – Enables hospitals, health tech firms, and research labs to audit and certify AI tools for safe, ethical, and legally compliant use in patient‑care interactions.
Architecture Details
This system integrates multiple components for a seamless automation flow. Structural interpretation based on project focus:
Backend Infrastructure
Core execution layer for robust data processing and API handling.
AI / Logic Core
Intelligent decisioning via models or logical workflow rules.
Tech Stack
JavaScriptIntegrationAutomationAPIs
Key Capabilities
- ▹ Custom workflow execution
- ▹ Data transformation and routing
- ▹ Extensible architecture