How to Build a Smart Email Unsubscriber with Bulk Actions
Create a powerful tool that intelligently analyzes users' email subscriptions and provides easy bulk unsubscribe actions. This project combines email parsing, machine learning, and a user-friendly interface to streamline inbox management and reduce email overload.
Learn2Vibe AI
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Simple Summary
Build a smart email unsubscriber with bulk actions to help users efficiently manage their inbox and reduce unwanted emails.
Product Requirements Document (PRD)
Goals:
- Develop a smart email unsubscriber that can analyze and categorize subscription emails
- Implement bulk unsubscribe actions to save users time
- Create a user-friendly interface for managing email subscriptions
Target Audience:
- Individuals overwhelmed by email subscriptions
- Professionals seeking to improve inbox management
- Anyone looking to reduce unwanted emails
Key Features:
- Email analysis and categorization
- Bulk unsubscribe actions
- Smart recommendations for unsubscribing
- User-friendly dashboard
- Email provider integration (Gmail, Outlook, etc.)
- Subscription management history
User Requirements:
- Secure authentication and email account connection
- Intuitive interface for reviewing and managing subscriptions
- Quick bulk actions for efficient unsubscribing
- Detailed analytics on email subscription patterns
- Cross-platform compatibility (web, mobile)
User Flows
-
User Registration and Email Connection:
- User signs up for the service
- Authenticates and connects their email account
- Grants necessary permissions for email access
-
Subscription Analysis and Management:
- System analyzes user's emails and identifies subscriptions
- User reviews categorized subscriptions on dashboard
- Selects multiple subscriptions for bulk unsubscribe action
- Confirms action and receives success notification
-
Ongoing Subscription Monitoring:
- System continuously monitors incoming emails
- Alerts user of new subscriptions
- Provides recommendations for potential unsubscribes
- User reviews and takes action on recommendations
Technical Specifications
- Frontend: React.js for a responsive single-page application
- Backend: Node.js with Express.js for API development
- Database: MongoDB for flexible document storage
- Authentication: OAuth 2.0 for secure email provider integration
- Machine Learning: TensorFlow.js for email classification and recommendations
- Email Parsing: Mailparser library for efficient email content extraction
- API Integration: REST APIs for major email providers (Gmail, Outlook)
- Security: HTTPS, data encryption, and secure token handling
- Hosting: AWS or Google Cloud Platform for scalability
- Monitoring: ELK stack (Elasticsearch, Logstash, Kibana) for system monitoring and analytics
API Endpoints
- POST /api/auth/register - User registration
- POST /api/auth/login - User login
- GET /api/emails/subscriptions - Fetch user's subscription emails
- POST /api/emails/unsubscribe - Perform bulk unsubscribe action
- GET /api/analytics/summary - Fetch subscription analytics
- POST /api/settings/update - Update user preferences
Database Schema
Users:
- _id: ObjectId
- email: String
- password: String (hashed)
- connectedAccounts: Array of Objects
Subscriptions:
- _id: ObjectId
- userId: ObjectId
- emailAddress: String
- category: String
- lastReceived: Date
- unsubscribeUrl: String
- status: String (active/unsubscribed)
UnsubscribeActions:
- _id: ObjectId
- userId: ObjectId
- subscriptionId: ObjectId
- date: Date
- success: Boolean
File Structure
/src
/components
Header.js
Footer.js
SubscriptionList.js
BulkActionBar.js
AnalyticsDashboard.js
/pages
Home.js
Login.js
Register.js
Dashboard.js
Settings.js
/api
auth.js
emails.js
analytics.js
/utils
emailParser.js
mlClassifier.js
apiHelpers.js
/styles
main.css
components.css
/public
index.html
assets/
/server
server.js
/routes
/models
/controllers
/tests
README.md
package.json
Implementation Plan
-
Project Setup (1 week)
- Initialize repository and project structure
- Set up development environment and tools
- Create basic React app and Express server
-
Authentication and Email Integration (2 weeks)
- Implement user registration and login
- Set up OAuth 2.0 for email provider integration
- Develop secure token handling and storage
-
Email Analysis and Classification (3 weeks)
- Develop email parsing functionality
- Implement machine learning model for subscription classification
- Create database schema and API endpoints for subscriptions
-
User Interface Development (2 weeks)
- Design and implement main dashboard
- Create subscription list and bulk action components
- Develop settings and preferences pages
-
Bulk Unsubscribe Functionality (2 weeks)
- Implement bulk selection of subscriptions
- Develop unsubscribe action processing
- Create success/failure handling and notifications
-
Analytics and Recommendations (2 weeks)
- Implement subscription analytics tracking
- Develop recommendation engine for unsubscribe suggestions
- Create analytics dashboard for users
-
Testing and Refinement (2 weeks)
- Conduct thorough testing of all features
- Perform security audits and penetration testing
- Refine UI/UX based on user feedback
-
Deployment and Launch Preparation (1 week)
- Set up production environment
- Configure monitoring and logging
- Prepare documentation and support materials
Deployment Strategy
- Choose a cloud provider (AWS or Google Cloud Platform)
- Set up a staging environment for final testing
- Configure auto-scaling for the application servers
- Implement a CI/CD pipeline for automated deployments
- Set up database backups and replication
- Configure SSL certificates for secure communications
- Implement logging and monitoring solutions
- Conduct load testing to ensure scalability
- Create a rollback plan for potential issues
- Schedule regular security audits and updates
Design Rationale
The design focuses on creating a user-friendly and efficient email management tool. React.js was chosen for the frontend to provide a responsive and interactive user interface. Node.js and Express.js offer a robust and scalable backend solution. MongoDB provides flexibility for storing varied subscription data.
Machine learning is incorporated to intelligently categorize emails and provide smart recommendations, enhancing the user experience. The bulk action feature is prioritized to save users time and effort in managing their subscriptions.
Security is a top priority, with OAuth 2.0 integration and secure data handling practices. The modular file structure and API-first approach allow for easy maintenance and potential future expansions, such as mobile app development.