📅 2024-10-02 — Session: Developed and Implemented EmailBot Class

🕒 19:00–20:10
🏷️ Labels: Emailbot, Python, Automation, IMAP, Sqlite, AI
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The primary goal of this session was to develop, implement, and test the EmailBot class for email ingestion and automation purposes.

Key Activities

  • EmailBot Class Development: Implemented the EmailBot class to ingest emails into a database, capturing structured data such as sender, source type, and timestamps, while enhancing error handling and content processing.
  • Fetching Recent Emails: Developed functionality within the EmailBot class to fetch emails received in the last 24 hours, including a test function hello_world_test().
  • Data Storage: Implemented logic to store fetched emails in a SQLite database.
  • Data Categorization Strategy: Outlined strategies for simplifying data categories to improve workflow efficiency.
  • AI Training Plan: Explored training AI agents for email categorization using keyword-based methods to optimize workflows.

Achievements

  • Successfully implemented and tested the EmailBot class with complete functionality for email fetching and storage.
  • Developed a strategic plan for data categorization and AI training.

Pending Tasks

  • Further development and testing of AI agents for enhanced email categorization and workflow optimization.