A production-ready serverless application that enables voice-controlled querying of AWS resources. Built as part of my AWS Cloud Practitioner certification journey.
After completing my AWS Cloud Practitioner certification, I wanted to build something that:
- Solves a real problem: Managing AWS resources through CLI/console is time-consuming
- Demonstrates practical AWS knowledge: Goes beyond theoretical certification
- Showcases modern development: Full-stack with serverless architecture
- Impresses recruiters: Live, interactive, and production-ready
🎤 Voice-First Interface
- Natural language processing for AWS queries
- Browser-based speech recognition (Chrome/Edge)
- Text-to-speech responses for hands-free operation
🔗 Interactive Results
- Click any resource to open directly in AWS Console
- Visual indicators for different resource types
- Command history with persistent clickable links
📊 Multi-Service Integration
- Amazon S3 (Storage)
- Amazon EC2 (Compute)
- AWS Lambda (Functions)
- Amazon RDS (Databases)
- AWS Cost Explorer (Billing)
🎨 ** UI/UX**
- AWS-themed design with Tailwind CSS
- Responsive layout (mobile-friendly)
- Smooth animations and transitions
- Dark mode interface
Try these commands:
- "Show my S3 buckets"
- "List running EC2 instances"
- "What are my Lambda functions?"
- "What's my AWS bill this month?"
Frontend (React)
↓
API Gateway (REST API)
↓
Lambda Function (Python)
↓
AWS Services (S3, EC2, Lambda, RDS, Cost Explorer)
| Choice | Reason |
|---|---|
| React | Component reusability, large ecosystem |
| Tailwind CSS | Rapid UI development, consistent design |
| AWS Lambda | Serverless = no server management, pay-per-use |
| API Gateway | Built-in throttling, caching, CORS handling |
| Python + Boto3 | Official AWS SDK, clean syntax |
- Response Time: < 1.5s average
- Cost: ~$0.50/month (Free Tier eligible)
- Uptime: 99.9% (Netlify + AWS SLA)
- Security: IAM role-based authentication, no hardcoded credentials
- Lines of Code: 500+ (Python + React)
Frontend:
- React 18 with Hooks
- Tailwind CSS v4 (using Vite plugin)
- Web Speech API (voice recognition)
- Speech Synthesis API (text-to-speech)
- Lucide React (icons)
Backend:
- AWS Lambda (Python 3.11)
- Boto3 (AWS SDK for Python)
- AWS API Gateway (HTTP API)
DevOps:
- Vite (build tool)
- AWS CLI (deployment)
- PowerShell (automation scripts)
- Netlify (frontend hosting)
AWS Services:
- Lambda, API Gateway, IAM, S3, EC2, RDS, Cost Explorer, CloudWatch
# Required
Node.js 16+
AWS Account with CLI configured
Python 3.11+
# Optional (for voice features)
Microphone
Chrome or Edge browser- Clone and install dependencies
git clone https://github.com/AKVishwakrama/aws-voice-manager.git
cd aws-voice-manager
npm install- Configure AWS CLI
aws configure
# Enter: Access Key ID, Secret Access Key, Region (ap-south-1)- Deploy Lambda function
cd lambda-functions
.\deploy.ps1 # Windows
# or
./deploy.sh # Mac/Linux- Update API endpoint
Edit src/components/VoiceManager.jsx:
const apiEndpoint = "YOUR-API-GATEWAY-URL/prod/query";- Run locally
npm run dev
# Open http://localhost:5173- Build for production
npm run build
# Deploy dist/ folder to Netlify or Vercelaws-voice-manager/
├── src/
│ ├── components/
│ │ └── VoiceManager.jsx # Main component (400+ lines)
│ ├── App.jsx # Root component
│ └── index.css # Tailwind config
├── lambda-functions/
│ ├── lambda_function.py # AWS Lambda handler (350+ lines)
│ ├── iam-policy.json # IAM permissions
│ └── deploy.ps1 # Deployment automation
├── public/
├── vite.config.js
└── package.json
IAM Least Privilege:
{
"Effect": "Allow",
"Action": [
"s3:ListAllMyBuckets",
"ec2:DescribeInstances",
"lambda:ListFunctions"
],
"Resource": "*"
}CORS Configuration:
- Allowed origins: Configured per environment
- Allowed methods: POST, OPTIONS
- Credentials: Not required
No Secrets in Code:
- Lambda uses IAM role for AWS access
- No API keys in frontend
- Environment-based configuration
AWS Services:
- Lambda function development and optimization
- API Gateway configuration (routes, stages, CORS)
- IAM role creation and policy management
- Cost optimization strategies
Frontend Skills:
- React Hooks (useState, useRef, useEffect)
- Web Speech API integration
- Async/await patterns
- Error handling and user feedback
Backend Development:
- Python AWS SDK (Boto3)
- Serverless architecture patterns
- REST API design
- Response formatting and parsing
DevOps:
- CLI automation with PowerShell
- CI/CD concepts
- Multi-stage deployments
- Monitoring with CloudWatch
Team collaboration features
Contributions are welcome! Please feel free to submit a Pull Request.
Ideas for contributors:
- Add support for more AWS services
- Improve voice recognition accuracy
- Add unit tests
- Create documentation
- Design improvements
Amit Vishwakarma
AWS Certified Cloud Practitioner | React Developer | Building Web Applications
- 📧 Email: [[email protected]]
- 💼 LinkedIn: Amit Vishwakarma
- 🐙 GitHub: @AKVishwakrama
- 🐦 X/Twitter: @AmitVishwa38404
Why I'm Seeking Internships:
I'm passionate about cloud computing and modern web development. This project demonstrates my ability to:
- Learn and apply new technologies quickly
- Build production-ready applications
- Write clean, maintainable code
- Solve real-world problems
I'm looking for internship opportunities where I can contribute to meaningful projects while continuing to grow as a developer.
- AWS Documentation and community
- React and Vite teams
- Tailwind CSS contributors
- Web Speech API specification authors
- Everyone who provided feedback on this project
If you found this project helpful, please consider giving it a star!
Questions or suggestions? Open an issue or reach out on LinkedIn!
Looking for an internship? I'm available! Check out my resume.
Built with ❤️, ☕, and lots of AWS documentation
Last updated: January 2026