Project Overview
This email management system automatically reads, understands, and sorts incoming emails for businesses. The project uses machine learning to classify emails and computer automation to handle the entire process without human intervention, working directly with the Thunderbird email client.
The machine learning component is the brain of the system that reads and understands email content. The system first cleans up the email text by removing special characters and fixing formatting issues. It then converts the cleaned text into numbers that the AI model can work with, allowing it to understand what the email is about and decide which department should handle it based on patterns it learned during training.
The system's continuous operation capability ensures 24/7 monitoring and processing of incoming communications, eliminating delays in email routing and ensuring that critical business communications are processed immediately upon arrival.
Video Demonstration
Automated email sorting powered by AI
Real Life Applications
How businesses can use this project
Technical Specifications
Key features and technical implementation
Core Components
- Email App Automation: The script opens the Thunderbird email app, checks for unread emails, and selects them for processing.
- Image Detection It checks the screen for specific images to determine the presence of certain indicators.
- Text Preprocessing: Emails are preprocessed to clean and standardize the text.
- Email Classification: The content of unread emails is vectorized and fed into a pre-trained machine learning model to predict the appropriate department for forwarding.
- Email Forwarding: Based on the classification result, the email content is forwarded to the specified department, making the workflow easier.