Abstract

In the current digital environment, cyberbullying remains a significant threat to online safety and well-being. This study explores the technological advancements and strategies utilized in the project, providing compelling evidence of its effectiveness in reshaping the landscape of cyberbullying recovery. To tackle this urgent issue, we introduce the "Cyberbullying Advisory," an innovative AI-powered solution. Unlike traditional technologies, our platform is specifically designed to offer a dedicated space for cyberbullying victims across different online platforms, allowing them to share their stories and begin a journey towards emotional healing. Notably, it goes a step further by providing legal guidance to assist users in navigating the complexities of online harassment. Incorporating technologies such as Natural Language Processing (NLP), Natural Language Understanding (NLU), and Deep Learning, our models utilize task-specific datasets to implement key features like Toxicity Level Detection, Empathetic Response, and Intent Recognition. By leveraging the BERT Model for improved user interaction, these technologies enable real-time empathetic responses and personalized legal advice, revolutionizing the user experience in combating cyberbullying. The integration of AI-driven analysis and supervised learning techniques ensures accurate identification and categorization of toxic content, allowing users to receive tailored support. The uniqueness of our project lies in the seamless integration of these components, emphasizing precision through the use of task-specific datasets. By providing victims with empathetic and context-aware responses, our platform serves as a steadfast ally, offering assistance to those impacted by cyberbullying across diverse digital platforms.