DevOps Career AI - Hackathon Project

A web application showcasing Best Use of AI Personas through specialized DevOps career guidance, powered by Amazon Q Business.

Hackathon Project: Best Use of AI Personas

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

1. See DEPLOYMENT.md for detailed setup instructions
2. Configure Amazon Q Business as described in the deployment guide
3. Deploy the backend using CloudFormation
4. Set up and deploy the frontend using AWS Amplify

Development

To run the application locally:

cd frontend
npm install
# Create .env file with required environment variables
npm start