Mail Assistant: Your AI-Powered Email Automation Tool

Introduction

Introduction

Hello everyone! My name is Sean Fut, and I'm excited to present to you my project: a Mail Assistant designed to streamline email management using AI-powered automation. This tool integrates various technologies to process and respond to incoming emails efficiently.

Project Overview

The Mail Assistant processes emails received at a specific Gmail account by utilizing Express and Gemini APIs, with task scheduling handled by Bull MQ. The initial step involves connecting to the Gmail account, which initiates the queuing process for email processing.

Email Processing

Upon establishing a connection, the Mail Assistant begins to process unread emails. Each unread email is converted into a job, which is then classified into predefined categories. For instance, emails can be sorted into categories such as "More Information," "Interested," or "Not Interested." The subject and content of the emails are utilized to generate relevant replies tailored to the assigned categories.

Job Scheduling

Using Bull MQ for task scheduling, the system creates jobs for each email, ensuring that the processing occurs sequentially. Once an email has been processed, the system skips any tasks with invalid IDs or jobs that have already been completed. For this account, after receiving approximately 100 emails, the Mail Assistant successfully generated replies based on various classifications.

User Interface and API Interaction

The user interface displays both the received emails and their corresponding generated replies. An impressive feature of the Mail Assistant is its built-in functionality for scheduling tasks, with jobs set to repeat every 100 seconds. This design avoids exceeding API rate limits while ensuring timely processing of emails.

Within the ExpressJS application, routes are defined for user authentication and interaction with the Mail Assistant. Additionally, email credentials and tokens are securely stored locally. The application communicates with the Gmail API to read messages and generate automated replies using a structured template.

Technology Stack

The technology stack includes:

• ExpressJS for handling the server and routes.
• Bull MQ for task scheduling.
• Gmail API for email interaction.
• Gemini API for generating replies based on email context.
• Redis for managing job queues and tasks.

Conclusion

In conclusion, this Mail Assistant project demonstrates the capabilities of AI in automating email responses, making email management efficient and organized. Thank you for your attention, and I hope you find this tool as useful as I intended it to be!

Keywords

Mail Assistant, AI, Email Automation, Gmail API, ExpressJS, Bull MQ, Task Scheduling, Email Processing, Job Management, Redis.

FAQ

What is the Mail Assistant?
The Mail Assistant is an AI-powered tool designed to automate the management and response to emails received in a Gmail account.

What technologies were used in the project?
The project utilizes ExpressJS for the server-side framework, Bull MQ for task scheduling, the Gmail API for email interactions, and the Gemini API for generating automated replies.

How does the Mail Assistant categorize emails?
Emails are categorized into predefined labels such as "More Information," "Interested," or "Not Interested," based on their content and subject line.

What is Bull MQ used for?
Bull MQ is used for managing job queues and handling task scheduling to ensure efficient processing of emails.

How frequently does the Mail Assistant check for new emails?
The system is configured to schedule tasks every 100 seconds to check for new unread emails.

Are email credentials stored securely?
Yes, email credentials and tokens are stored locally within the application to ensure security.