Evaluates email quality and efficiency in automation systems, suggesting significant workflow improvements.
This research paper presents the Automation AI Mail-Bot, an open-source AI-powered web application designed to automate the complete professional email workflow. The system integrates natural language email drafting using the Groq-hosted Llama 3.1 language model, iterative human-guided refinement with cumulative feedback history, and direct SMTP-based email delivery within a single unified platform. The application is built using Flask, Next.js, React, LangChain, and SMTP services. It also includes a fallback template-based email generation mechanism to ensure uninterrupted functionality during AI service outages. Experimental evaluation demonstrated significant improvements in professional email quality and workflow efficiency. The system achieved 100% functional correctness across structured test cases and reduced overall email workflow time by approximately 97% compared to traditional manual methods. Keywords:Email Automation, Artificial Intelligence, Large Language Models, LangChain, Groq API, SMTP, Flask, Next.
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Lakshay Goel (2026) studied this question.
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