AI-Powered Email Management: Web Application and Browser Extension

An intelligent email management system powered by Spring Boot and AI that helps you handle your inbox more efficiently through automated categorization, smart responses, and email analysis.

Features ✨

• AI-Powered Email Responses: Automatically generate context-aware email replies
• Smart Categorization: Automatically classify emails into categories (Important, Spam, Social, etc.)
• Email Summarization: Get concise summaries of long email threads
• Sentiment Analysis: Detect the emotional tone of incoming emails
• Follow-up Reminders: Automatic reminders for important unanswered emails
• Template Suggestions: AI-generated email templates for common responses

Tech Stack 🛠️

• Backend: Spring Boot 3.2
• AI Integration: Spring AI
• Email Processing: JavaMail API
• • Natural Language Processing:
• Database:
  • Development:
  • Production:
• • API Documentation:
• Build Tool: Maven

Prerequisites 📋

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System Design 📊

Installation & Setup ⚙️

1. Clone the repository:

   git clone https://github.com/18-RAJAT/SpringAI-InboxAssistant.git
   cd SpringAI-InboxAssistant

2. Build the project:

   mvn clean install

3. Configure environment variables:

   • Create application.yml in src/main/resources/:

   spring:
      spring.application.name=email-writer
      gemini.api.url=${GEMINI_URL}
      gemini.api.key=${GEMINI_KEY}
      server.port=9191
   

4. Start the application:

   mvn spring-boot:run

5. Access API documentation:
   

Example API Request 🚀

curl -X POST "http://localhost:9191/api/email/generate" \
-H "Content-Type: application/json" \
-d '{
  "emailContent": "Hi, I'm following up on our meeting last week. When can we expect the project deliverables?",
  "tone": "professional"
}'

Key API Endpoints 📡

Endpoint	Method	Description
/api/email/generate	POST	Generate AI-powered email responses
/api/email/categorize	POST	Categorize incoming emails
/api/email/summarize	POST	Summarize email threads
/api/email/analyze-sentiment	POST	Perform sentiment analysis on email content
/api/email/schedule-followup	POST	Schedule follow-up reminders

Contributing 🤝

Contributions are welcome! Please follow these steps:

1. Fork the repository
2. Create your feature branch (git checkout -b feature/your-feature)
3. Commit your changes (git commit -m 'Add some feature')
4. Push to the branch (git push origin feature/your-feature)
5. Open a Pull Request

Acknowledgements 😇

• Spring AI team for the amazing AI integration capabilities
• Gemini for their powerful language models
• The Spring Boot community for continuous support and improvements