• BUGGA MOHAN
• PALLE HARSHA VARDHAN REDDY
• YAMBA MAHESH
• UDUMULA CHANDRA SEKHAR REDDY

Cyberbullying has become an increasingly serious issue in the digital age, particularly among children and teenagers. Despite various efforts to combat this issue, existing solutions often fall short in providing real-time, actionable support to victims. The Billy - Buddy Against Cyberbullying project introduces a novel solution: a full-stack web application powered by an AI-driven chatbot, Billy. The chatbot interacts with users in real-time, offering immediate assistance, advice, and counseling for those affected by cyberbullying. By integrating NLP capabilities using OpenAI, secure data management systems, and a user friendly front-end (React) with a robust backend (Node.js, Express), the project aims to provide an innovative tool for combatting cyberbullying. This paper discusses the architecture, methodologies, technologies, evaluation metrics, results, and future work related to this system, highlighting its potential to serve as an effective, scalable solution to the growing problem of cyberbullying.

Cyberbullying, AI, Chatbot, Full-Stack Web Application, NLP, React, Node.js, Real-time Support, Mental Health, Data Security.

"BILLY BUDDY AGAINST CYBERBULLYING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 1, page no.b31-b41, January-2025, Available :http://www.jetir.org/papers/JETIR2501129.pdf

"BILLY BUDDY AGAINST CYBERBULLYING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 1, page no. ppb31-b41, January-2025, Available at : http://www.jetir.org/papers/JETIR2501129.pdf