A sophisticated middleware solution leveraging artificial intelligence and natural language processing to revolutionize professional email communication management. The platform automatically tracks, analyzes, and responds to business emails while maintaining comprehensive contextual awareness of ongoing projects and communications.
- 🚀 60% reduction in email response times
- 📈 40% improvement in communication consistency
- ⏰ Save 10+ hours per week in email management
- 🎯 95% accuracy in context identification
- 🔄 99.9% system uptime during business hours
The AI-powered Email Management Platform is designed as an enterprise SaaS solution that serves as an intelligent layer between users and email service providers. It addresses critical business challenges of email overload and context switching that costs organizations an estimated 20% of knowledge worker productivity.
- Email Processing Engine: Real-time monitoring and analysis of email communications
- Context Engine: AI-powered system for building and maintaining communication context
- Response Generator: Automated response system with learning capabilities
- Security Layer: Enterprise-grade encryption and access control system
- Integration Framework: API-based integration with email service providers
.
├── src/
│ ├── backend/ # Microservices architecture
│ │ ├── email-service/ # Go-based email processing service
│ │ ├── context-engine/ # Python-based context analysis
│ │ ├── response-generator/ # Python-based response generation
│ │ └── auth-service/ # TypeScript authentication service
│ └── web/ # React frontend application
├── infrastructure/ # Infrastructure as Code
│ └── terraform/
│ └── aws/ # AWS infrastructure definitions
└── docs/ # Additional documentation
- Node.js 20.x LTS
- Go 1.21+
- Python 3.11+
- Docker 24.0+
- Kubernetes 1.28+
- Terraform 1.6+
- AWS CLI 2.x
- PostgreSQL 14+
- MongoDB 6.0+
- Redis 7.0+
- Clone the repository:
git clone https://github.com/your-org/email-management-platform.git
cd email-management-platform- Install dependencies:
# Frontend dependencies
cd src/web
npm install
# Backend services
cd ../backend/email-service
go mod download
cd ../context-engine
pip install -r requirements.txt
cd ../response-generator
pip install -r requirements.txt- Configure environment:
cp .env.example .env
# Edit .env with your configuration- Start development environment:
docker-compose up -d- React 18.2+ with TypeScript 5.0+
- MUI 5.14+ for UI components
- Redux Toolkit 1.9+ for state management
- React Query 4.0+ for server state
- API Gateway: TypeScript/Express
- Email Service: Go/Gin
- Context Engine: Python/FastAPI
- Response Generator: Python/FastAPI
- Auth Service: TypeScript/Express
- Cloud: AWS
- Orchestration: Kubernetes 1.28+
- IaC: Terraform 1.6+
- Monitoring: Prometheus/Grafana
- Create feature branch:
git checkout -b feature/your-feature-name- Implement changes following our coding standards
- Write tests for new functionality
- Submit pull request for review
# Run frontend tests
cd src/web
npm test
# Run backend tests
cd ../backend/email-service
go test ./...
cd ../context-engine
pytest- Initialize Terraform:
cd infrastructure/terraform/aws
terraform init- Deploy infrastructure:
terraform plan
terraform apply- Configure kubectl:
aws eks update-kubeconfig --name email-platform-cluster- Deploy services:
kubectl apply -f k8s/- Access Grafana dashboard:
https://monitoring.your-domain.com - View logs in Kibana:
https://logs.your-domain.com - Check metrics in Prometheus:
https://metrics.your-domain.com
We are committed to providing a welcoming and inspiring community for all. Please read and follow our Code of Conduct.
- Fork the repository
- Create your feature branch
- Commit your changes
- Push to the branch
- Create a Pull Request
For security vulnerabilities, please email [email protected] instead of using the issue tracker.
This project is licensed under the MIT License - see the LICENSE file for details.
For detailed documentation about specific components, please refer to: