UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 10 | October 2025

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Published in:

Volume 12 Issue 7
July-2025
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRGX06076


Registration ID:
566859

Page Number

408-412

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Title

SAFE SOCIAL-EMOTION DRIVEN CYBERBULLYING PREVENTION AND PARENTAL ALERT SYSTEM FOR SOCIAL PLATFORMS

Abstract

The project's main goal is to create an intelligent cyberbullying detection system that is integrated into a social media platform. As online interactions become more common, cyberbullying has become a serious problem that affects people, particularly students and young users. To address this growing concern, the system uses emotion analysis and advanced Natural Language Processing (NLP) techniques to monitor and classify user-generated text in real-time. By identifying harmful, abusive, or toxic communication patterns, the system can accurately identify potential instances of cyberbullying. The system's capability to promptly notify the parents or guardians of the involved users when it detects any questionable or dangerous interactions is one of its key advantages. In order to prevent emotional and psychological injury, our real-time notification system encourages prompt action, accountability, and parental participation. Strong technologies, such as ReactJS for the frontend, Node.js and Express.js for the backend, MongoDB for database administration, and a Flask-based machine learning API for natural language processing, are used in the platform's user-friendly design. The addition of emotion-aware algorithms improves the system's comprehension of conversational context and tone. In addition to demonstrating the possibilities of fusing communication and machine learning technology, this initiative highlights social responsibility by encouraging safer online conduct. With the goal of fostering a more safe and encouraging online environment for all users, it is extremely valuable to parents, educational institutions, and the general public.

Key Words

Cyberbullying Detection, Natural Language Processing (NLP), Emotion Analysis, Real-Time Alert System, Social Media Safety.

Cite This Article

"SAFE SOCIAL-EMOTION DRIVEN CYBERBULLYING PREVENTION AND PARENTAL ALERT SYSTEM FOR SOCIAL PLATFORMS ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.408-412, July-2025, Available :http://www.jetir.org/papers/JETIRGX06076.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"SAFE SOCIAL-EMOTION DRIVEN CYBERBULLYING PREVENTION AND PARENTAL ALERT SYSTEM FOR SOCIAL PLATFORMS ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. pp408-412, July-2025, Available at : http://www.jetir.org/papers/JETIRGX06076.pdf

Publication Details

Published Paper ID: JETIRGX06076
Registration ID: 566859
Published In: Volume 12 | Issue 7 | Year July-2025
DOI (Digital Object Identifier):
Page No: 408-412
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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