Paper Key : IRJ************218
Author: Samadhan Kadam,Rohit Nagarse,Pratik Todkar,Nishant Bhaisare
Date Published: 07 Apr 2025
Abstract
The increasing prevalence of hate speech and misuse of online platforms has created a critical demand for advanced social media monitoring solutions. This paper introduces a centralized web-based system designed to manage and monitor multiple social media platforms, including Facebook, Instagram, Twitter, and LinkedIn. The system supports unified login, post scheduling, content analytics, and automatic flagging of inappropriate or harmful content using advanced Natural Language Processing (NLP) models.We propose a scalable architecture combining Django, ReactJS, and Python-based AI microservices to deliver seamless, real-time social media oversight. The integration of BERT-based models enhances the systems capability to detect hate speech with high accuracy. Our study includes the design approach, training methodologies, performance benchmarks, and limitations of the proposed solution. This paper is a step toward a safer, smarter digital interaction ecosystem.