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Social-Media-Cyberbullying-Detection mwakidenis/Social-Media-Cyberbullying-Detection

βœ…πŸ–₯️ The system is now accessible for free via the link below πŸŒπŸ‘‡, However the full repository files are NOT publicly available for access πŸš«πŸ’Έβ€”For full repository access, contact +254798750585 πŸ“žπŸ€

https://safegaurd-ai.streamlit.app/ β†—
HEALTH ? 80 / Healthy
// solo builder// funded pythonpytorchscikitlearn-machine-learningstreamlit ?

// readme

πŸ›‘οΈ SafeGuard AI - Bullying & Toxicity Detector

A real-time text classification tool built to detect and flag harmful content, including bullying, insults, and toxic comments. This project uses a fine-tuned BERT model to understand context and nuance, promoting safer online interactions.

If you find this project useful or interesting, please consider giving it a ⭐ star!


πŸš€ Live Demo

You can try the live application here:

https://safegaurd-ai.streamlit.app/


✨ Key Features

  • High-Performance Detection: Accurately classifies text into β€˜Bullying’ or β€˜Not Bullying’ categories.
  • State-of-the-Art Model: Powered by a fine-tuned BERT model, allowing it to understand context, sarcasm, and other nuances.
  • Interactive UI: A simple and clean user interface built with Streamlit.
  • Ready to Use: The repository includes the pre-trained model files, ready for deployment.

πŸ“Š Model Performance

The model was fine-tuned on a balanced dataset of over 115,000 text samples, achieving a 93% accuracy. It is particularly effective at identifying harmful content, with a 96% recall on bullying…