The rapid proliferation of online communication has brought about new forms of interpersoal interaction, but it has also led to the emergence of cyberbullying, a harmful phenomenon that can deeply affect individuals' well-being. Using a variety of approaches and strategies, research on the identification of cyberbullying was conducted in several mixed and bilingual languages.

Bullying is the use of force, coersion, hurtful teasing or threat, to abuse, aggressively dominate or intimidate. It is wrong deed in which the victim is harassed by receiving the derogatory / provocative / sensitive text messages by the bully.

To address this issue, this study proposes a novel approach for cyberbullying detection utilizing the BERT (Bidirectional Encoder Representations from Transformers) model to detect Cyberbullying in Telugu Language content, which has demonstrated exceptional capabilities in different natural language processing tasks.