AI-Driven Email Automation System
Year: 2025
Type: article
Abstract: In the modern digital landscape, efficient and personalized communication is critical for marketing, sales, and professional outreach. The AI-Driven Email Automation System leverages Llama 3.1, LangChain, ChromaDB, and Streamlit to automate the creation of personalized emails with minimal manual effort. By integrating Generative AI and Natural Language Processing (NLP) techniques, the system generates context-aware and coherent email drafts tailored to recipient profiles and company information. Retrieval-Augmented Generation (RAG) enhances the relevance and accuracy of content by incorporating contextual data stored in ChromaDB, while LangChain orchestrates prompts to ensure proper structure, tone, and intent. The Streamlit interface provides a user-friendly platform for input collection, real-time editing, and output visualization. This AI communication system demonstrates how combining personalized email generation, retrieval-augmented AI models, and interactive design can improve outreach efficiency, reduce manual workload, and maintain professional communication standards.
Authors: M.Perachiselvi, Yeshwini P K
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7104374156
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