CyberBullying Detection and Content Moderation System
Our project addresses this challenge through the development of a Hate Speech Detection and Auto Deletion system. The primary goal of this system is to automatically recognize and remove hate speech, cyberbullying, and offensive language from user-generated comments, thereby creating a safer and more respectful online environment.
Objectives:
- Develop and implement a robust hate speech detection model
- Automate the deletion process for identified hate speech content
- Analyze the impact of cultural context on hate speech detection
- Safeguard the balance between freedom of expression and online safety
- Provide recommendations for improving the efficiency and accuracy of hate speech detection algorithms
Technology used: Dashboard: Html Programming language: Python Libraries: Torch, Transformers , Flask Hardware requirements: Intel i5 or above processor Software requirements: Windows 10 or above