Crossref DOIMemberCiteFactoropen accessissn
SJIF Impact Factor 8.659 | ISSN: 2582-3930
IJSREM Logo

International Journal of Scientific Research in Engineering and Management

(Gateway to Global Scholars - An International, Scholarly, Multi-Disciplinary, Open Access Journal)

Peer-Reviewed Journal Designed to Meet UGC's Quality Parameters

HomeCurrent IssuePast IssuesPay OnlineConferencesEditorial BoardAbout UsContact Us
IJSREM

Loading article...

Follow Us

  • Google Scholar
  • ResearchGate
  • Academia.edu
  • Mendeley
  • LinkedIn
  • Facebook
  • Instagram

Journal Policies

  • Peer Review Policy
  • Publication Ethics
  • Copyright Infringement
  • Refund & Cancellation Policy
  • Terms and Conditions
  • Privacy Policy

Journal Identifiers & Licenses

  • ISSN Verified: 2582-3930ISSN Verified: 2582-3930
  • Crossref DOI: 10.55041Crossref DOI: 10.55041
  • SJIF Ranking: 08.659SJIF Ranking: 08.659
  • Licensed under CC BY 4.0Licensed under CC BY 4.0
  • ISO Certification: 9001:2015ISO Certification: 9001:2015
  • Indexed & Cited In: Google ScholarIndexed & Cited In: Google Scholar

Contact Us

International Journal of Scientific Research in Engineering and Management (IJSREM)

#62/1, New No 7, 1st Cross, 2nd Main, Ganganagar, R T Nagar, Bangalore North, Bangalore, Karnataka, India – 560032
[email protected]+91 93911 67991
logos
logos
Working Hours

Mon – Sat: 9:00 AM – 6:00 PM

Sunday: 10:00 AM – 4:00 PM

+91 93911 67991

© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

DisclaimerPrivacy PolicyTerms and Conditions
ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM.AITCON005

Newsletter Generator

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM.AITCON005

Volume:

10 |

4 |

April 2026

Pages:

1-4

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
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.

Share this article:

Authors

BS

Bhakti S.Vyavahare

Computer Technology

AITRC Vita

Download Author Certificate
SR

Sakshi R.Nalawade

Computer Technology

AITRC Vita

Download Co-Author Certificate
AP

Anuradha P.Katkar

Computer Technology

AITRC Vita

Download Co-Author Certificate
VS

Vaishnavi S.Bharate

Computer Technology

AITRC Vita

Download Co-Author Certificate

Mentors

KT

Kishori T.Salunkhe

Computer Technology

AITRC Vita

Download Mentor Certificate

Author Services & Downloads

Full ArticlesAcceptance Certificate

Abstract

Now a day we find most of the organizations, educational and business institutes using newsletters to inform their audience about latest news and updates in the digital world. But building newsletters from scratch consumes a lot of time to research, gather and compose the content. Hence, to address this issue Newsletter Generator system is built which makes the content of newsletter automatically with the help of Generative Artificial Intelligence. Users submit a topic or keywords, and the artificial intelligence creates coherent and thoughtful newsletter material accordingly. The project is implemented in Python programming with Streamlit to create interactive and user-friendly design for Web users. The system uses generative AI technology to analyse the user inputs and generate relevant content like the title, the introduction, and then body sections of the newsletter. The primary goal of this project is to make the newsletter creation process as easy and fast as possible. Such a system can assist students, organizations and businesses to create their newsletters with utmost efficiency while saving time and maximizing performance.

KEYWORDS

Newsletter Generator Python Streamlit Generative AI Fast User Friendly Time Saving

Cite This Article

Bhakti S.Vyavahare, Sakshi R.Nalawade, Anuradha P.Katkar, Vaishnavi S.Bharate, Kishori T.Salunkhe, "Newsletter Generator," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, pp. 1-4, April 2026.

Full Article/Conclusion

The Newsletter Generator project is an end-to-end demonstration of utilizing Generative Artificial Intelligence to wiretap the stream of newsletter content creation. By simply entering a topic or keywords, the system enables users to quickly create user-friendly newsletters. The application offers a simple yet user-friendly mechanism for automatic content generation using technologies like Python, Streamlit and Generative AI. In short, the system assists to minimize manual hours of writing and serves as a productivity-enhancing tool. Students, organizations, and business that are in the constant need of creating newsletters can leverage the power of the News Letter Generator. Not only it proves practical understanding of using the AI in creation of content but also a big step towards modernity in simplifying and fast use of technology for communication and information sharing.

References

[1]  Python Documentation – https://www.python.org  [2]  Streamlit Documentation – https://docs.streamlit.io [3]  Mermaid Diagram Documentation – https://mermaid.js.org [4]     W3Schools Python and Web Development Tutorials – https://www.w3schools.com

Editorial & Review Transparency

Publication Date

4/30/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

Documents

Review Report (Confidential)
Copyright Form (Office)

Article Metrics & Impact

Article Views

0

Total views since publication

PDF Downloads

3

Total downloads since publication

Geographic Reach

5

Indexing, Archiving & Preservation

Google Scholar
Academia
ResearchGate
Crossref
SSRN
Semantic Scholar
Thomson Reuters
WorldCat
Mendeley
OpenAlex
EBSCO
Zenodo

Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.

Ethics, Compliance & Transparency

Plagiarism Screening

This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

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

Funding Information

No funding information available for this research.

Similar & Recommended Articles

Similar Articles by Topic

Related research in the same subject area

Loading similar articles...