Rejection Email Deleter: Intelligent Email Management System

Overview

Created an automated solution that leverages natural language processing to identify job application rejection emails, categorize them, and perform specified actions (such as moving to trash, archiving, or applying labels) based on user preferences. This tool helps job seekers maintain an organized inbox during the application process.

Key Features

• Smart Detection: Uses NLP to identify rejection emails with high accuracy
• Customizable Actions: Configurable handling of detected emails (delete, archive, label)
• Gmail Integration: Seamless connection with Gmail accounts via the Gmail API
• Batch Processing: Efficiently processes large volumes of emails
• User-Friendly Interface: Simple setup and configuration process
• Privacy-Focused: Processes emails locally without storing sensitive content

Technical Implementation

• Implemented a rejection pattern recognition system using keyword analysis and context understanding
• Designed a secure OAuth2 authentication flow for Gmail API access
• Created efficient email processing pipelines for handling large inboxes
• Developed a configurable rule system for customized email handling

Technologies Used

• Python
• Gmail API
• Natural Language Processing
• OAuth2 Authentication
• Command Line Interface

GitHub Repository

View the source code and documentation on GitHub.

Project Timeline

April 2025 - Present

Impact

The tool helps job seekers by:

• Reducing emotional strain from constant rejection notifications
• Keeping inboxes organized during high-volume application periods
• Saving time on manual email management
• Providing optional analytics on application response patterns

Future Enhancements

• Web-based user interface
• Support for additional email providers
• Enhanced analytics dashboard
• Custom response templates for automated replies

Contact

For more information or to contribute to this project, please contact me.