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AI-powered Email Management Platform

Version Last Updated

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.

Key Benefits

  • 🚀 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

Table of Contents

Overview

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.

Core Components

  • 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

Repository Structure

.
├── 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

Quick Start

Prerequisites

  • Node.js 20.x LTS
  • Go 1.21+
  • Python 3.11+
  • Docker 24.0+
  • Kubernetes 1.28+
  • Terraform 1.6+
  • AWS CLI 2.x

Database Requirements

  • PostgreSQL 14+
  • MongoDB 6.0+
  • Redis 7.0+

Setup Instructions

  1. Clone the repository:
git clone https://github.com/your-org/email-management-platform.git
cd email-management-platform
  1. 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
  1. Configure environment:
cp .env.example .env
# Edit .env with your configuration
  1. Start development environment:
docker-compose up -d

Development

Technology Stack

Frontend

  • 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

Backend

  • API Gateway: TypeScript/Express
  • Email Service: Go/Gin
  • Context Engine: Python/FastAPI
  • Response Generator: Python/FastAPI
  • Auth Service: TypeScript/Express

Infrastructure

  • Cloud: AWS
  • Orchestration: Kubernetes 1.28+
  • IaC: Terraform 1.6+
  • Monitoring: Prometheus/Grafana

Development Workflow

  1. Create feature branch:
git checkout -b feature/your-feature-name
  1. Implement changes following our coding standards
  2. Write tests for new functionality
  3. Submit pull request for review

Testing

# Run frontend tests
cd src/web
npm test

# Run backend tests
cd ../backend/email-service
go test ./...

cd ../context-engine
pytest

Deployment

Infrastructure Setup

  1. Initialize Terraform:
cd infrastructure/terraform/aws
terraform init
  1. Deploy infrastructure:
terraform plan
terraform apply

Kubernetes Deployment

  1. Configure kubectl:
aws eks update-kubeconfig --name email-platform-cluster
  1. Deploy services:
kubectl apply -f k8s/

Monitoring

  • 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

Contributing

Code of Conduct

We are committed to providing a welcoming and inspiring community for all. Please read and follow our Code of Conduct.

Contributing Guidelines

  1. Fork the repository
  2. Create your feature branch
  3. Commit your changes
  4. Push to the branch
  5. Create a Pull Request

Security

For security vulnerabilities, please email [email protected] instead of using the issue tracker.

License

This project is licensed under the MIT License - see the LICENSE file for details.

For detailed documentation about specific components, please refer to: