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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM60514

COLD EMAIL GENERATOR

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM60514

Volume:

10 |

4 |

April 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

MRP

Ms. R Priyadharshini

MGA

Mr. G. Anudev

MSAB

Mr. S. A. Boobalan

MRD

Mr. R. Dhanush

MASK

Mr. A. S. Krishna

A

AUTONOMOUS

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Abstract

The AI Cold Email Generator is an intelligent system designed to streamline and enhance professional communication through automated email creation. Traditional methods of writing cold emails often require significant time, creativity, and personalization effort, which can lead to inconsistent quality and lower response rates. To address these challenges, the system leverages advanced Natural Language Processing (NLP) and transformer-based models to generate high-quality, personalized email content efficiently. The application analyzes user inputs such as target audience, purpose, tone, and key details, and then generates context-aware, persuasive cold emails suitable for various domains like sales, job outreach, networking, and marketing. By integrating language models such as BERT and GPT-based architectures, the system ensures grammatical accuracy, relevance, and engaging tone in the generated content. It also supports customization features, allowing users to refine subject lines, body text, and call-to-action elements for better impact. Developed as a web application using Flask and cloud-based AI services, the generator is accessible across multiple devices without requiring high-end local resources. The interface provides a user-friendly experience with options to edit, copy, and export generated emails. This project demonstrates how AI-driven automation can improve communication efficiency, save time, and increase the effectiveness of outreach strategies. The results highlight its potential to assist professionals, marketers, and job seekers in creating compelling cold emails with ease.

KEYWORDS

AI Email Generator Natural Language Processing Cold Emails Text Generation GPT BERT Web Application Automation Personalized Communication

Cite This Article

Ms. R Priyadharshini, Mr. G. Anudev, Mr. S. A. Boobalan, Mr. R. Dhanush, Mr. A. S. Krishna, AUTONOMOUS, "COLD EMAIL GENERATOR," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, April 2026.

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Publication Date

4/19/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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