The shift to online education has presented challenges in maintaining classroom decorum, with disruptions such as cyberbullying becoming prevalent. In response, we propose a comprehensive solution for schools and colleges. Our system integrates speech and gesture recognition for students, granting hosts enhanced control over virtual classes. Through automated video and audio analysis, hosts can create customized presets and swiftly address disruptive behavior. The primary focus is combating cyberbullying by monitoring and filtering video streams for hate-driven actions. Offensive behavior triggers immediate removal from the session, detected through continuous monitoring of audio and video feeds without requiring student device installations. All processes operate in the cloud, minimizing security risks and ensuring software integrity. This solution aims to restore a positive and secure online learning environment.