---
language: en
library_name: sklearn
tags:
- safety
- guardrail
- content-filtering
- prompt-detection
- machine-learning
license: mit
---

# Omega Guard - Advanced LLM Prompt Safety Classifier

## Model Overview
Omega Guard is a sophisticated machine learning model designed to detect potentially harmful or malicious prompts in natural language interactions.

## Technical Specifications
- **Python Version**: 3.11.9 | packaged by conda-forge | (main, Apr 19 2024, 18:36:13) [GCC 12.3.0]
- **Scikit-learn Version**: 1.6.1
- **NumPy Version**: 1.26.4

## Model Capabilities
- Advanced text and feature-based classification
- Comprehensive malicious prompt detection
- Multi-level security pattern recognition
- Scikit-learn compatible Random Forest classifier

## Use Cases
- Content moderation
- Prompt safety filtering
- AI interaction security screening

## Licensing
This model is released under the MIT License.

## Recommended Usage
Carefully evaluate and test the model in your specific use case. This is a machine learning model and may have limitations or biases.

## Performance Metrics
Please refer to the `performance_report.txt` for detailed classification performance.

## Contact
For more information or issues, please open a GitHub issue.