Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
In contemporary digital communication, ensuring
the integrity of Telegram group communities presents significant
challenges, particularly due to the proliferation of spam and
NSFW (Not Safe For Work) content. The limitations of human administrators in continuously monitoring group activities
necessitate an automated solution. This project introduces an
automated Telegram group management system, developed using
Node.js in conjunction with Python and JavaScript libraries and
models, to efficiently detect and mitigate undesirable content.
The proposed system integrates a bot administrator capable
of real-time monitoring of all incoming messages, including
text, images, and videos. Leveraging advanced algorithms and
libraries, the bot analyzes each message to identify spam and
NSFW content. Upon detection, the bot automatically deletes
the offending message for all group members and removes the
sender from the group. The system also addresses messages
containing malicious external links or unauthorized group invitations. Additionally, the bot provides comprehensive support
for administrative commands, enabling human administrators
to perform key management tasks such as adding members,
retrieving the group link, removing users, and issuing warnings.
This solution ensures a secure and well-regulated communication
environment for Telegram group communities.
Keywords:
NSFW, Telegram, Hate Speech, Offensive Language, Group Management, Threat Intelligence, Fake Website Detection, Counterfeit Product Detection, Sentiment Analysis, NLP
Cite Article:
"AUTOMATED TELEGRAM GROUP MANAGEMENT SYSTEM FOR SPAM AND NSFW CONTENT PREVENTION", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.a760-a769, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504096.pdf
Downloads:
000451
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator