Build a CLI Email Assistant with Python for Auto Labeling

Managing email inboxes manually is inefficient, especially when dealing with high volumes of messages requiring categorization, labeling, and responses. Email automation using intelligent rules and auto-labeling reduces manual effort and ensures consistent message handling.

In this project, we'll build a command-line email management system using Python that simulates inbox operations with intelligent automation features. The system supports sending, labeling, archiving, and pinning emails while implementing auto-labeling rules and auto-responder logic that mimic modern email clients. We'll use core Python data structures like lists and dictionaries to manage email data, implement search and summarization tools for inbox analysis, and create rule-based automation for categorizing incoming messages and generating automatic responses.

We'll handle CSV file operations for persistent email storage, build display and filtering functions for inbox management, and implement smart labeling that automatically categorizes emails based on content patterns. We'll create auto-responder rules with toggle controls and apply them dynamically when new emails arrive. By the end, you'll have a functional email automation tool demonstrating Python programming fundamentals, data structure manipulation, file I/O operations, pattern matching, and rule-based systems applicable to any automation workflow or data processing application.