This project demonstrates innovative AI persona implementation for DevOps career development. Each persona provides specialized expertise:

🏗️ DevOps Architect - Infrastructure design and cloud architecture guidance ⚙️ DevOps Engineer - CI/CD pipelines, automation, and deployment strategies 👨🏫 Career Mentor - DevOps career paths and skill development roadmaps 💻 Technical Interviewer - Interview preparation and hands-on scenarios

Key Features: 4 Distinct AI Personas with specialized knowledge domains Context-Aware Responses based on selected persona Age-Appropriate Communication (child/adult modes) Bilingual Support (English/Spanish) Real-time Persona Switching within conversations Repository Structure / ├── frontend/ # React frontend application │ ├── public/ # Public assets │ ├── src/ # Source code │ │ ├── Assets/ # Images and SVG files │ │ ├── Components/ # React components │ │ ├── services/ # API services │ │ └── utilities/ # Helper functions and contexts │ ├── .env # Environment variables │ └── package.json # Dependencies ├── DEPLOYMENT.md # Deployment instructions └── template.json # CloudFormation template for backend Features AI-Powered Chat: Utilizes Amazon Q Business to answer questions about disability rights Document Knowledge Base: Integrates with S3-stored documents and website content Feedback System: Allows users to rate responses for continuous improvement Accessibility: Built with accessibility in mind for users with disabilities Technology Stack Frontend: React.js Backend: AWS Lambda, API Gateway AI Service: Amazon Q Business Data Sources: S3 documents, Web crawler Deployment: AWS CloudFormation, AWS Amplify Getting Started See DEPLOYMENT.md for detailed setup instructions Configure Amazon Q Business as described in the deployment guide Deploy the backend using CloudFormation Set up and deploy the frontend using AWS Amplify Development To run the application locally:

cd frontend npm install