Hello, this is Dr. Nam.
Fully automate Gmail and Naver mail with one workflow – from spam classification to deletion
Build your own AI voice assistant: Fully built with FastAPI and Docker
The above two lectures have been added to the Additional Lectures section.
First, the "Full Mail Automation Implemented in a Single Workflow" lecture focused on telling you how to set up Gmail and Naver mail in the existing AI-based Naver spam mail classification: Fully automated email agent hands- on lecture. However, there was some confusion about this part and many people said that two emails were not triggered at the same time. Therefore, rather than answering each question one by one, I thought it would be better to explain in detail how to actually use two or more emails at the same time while creating a usable sample, so I created an additional lecture.
Another "My Own AI Voice Assistant Lecture" is the N8N with MCP section on creating my own AI assistant that gives audio commands. In the MCP + Voice AI lecture, I give a sample example of how to create a voice assistant Agent using Eleven Labs' AI Agent. In fact, if you use Eleven Labs' AI Agent, firstly, it is expensive, and secondly, if the AI request processing takes a long time, I cannot handle the Timeout status myself. In this lecture, I explain how to create a voice recognition AI Agent in the style and design I want using Python's FastAPI . The voice service used the Minimax model, which is incredibly cheap compared to Eleven Labs.
If you have any questions about the lecture, please use the Q&A bulletin board at any time.