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README.md

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+---
+language: en
+library_name: sklearn
+tags:
+- safety
+- guardrail
+- content-filtering
+- prompt-detection
+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.
+
+## Key Features
+- Advanced text and feature-based classification
+- Comprehensive malicious prompt detection
+- Multi-level security pattern recognition
+- Scikit-learn compatible
+
+## Performance Highlights
+- Extensive training on diverse prompt datasets
+- Robust feature engineering
+- High accuracy in identifying security risks
+
+## Recommended Use
+- Content moderation
+- Prompt safety filtering
+- AI interaction security
+
+## Technical Details
+- Classification Algorithm: Gradient Boosting
+- Feature Types: 
+  * TF-IDF text vectorization
+  * Security pattern detection
+  * Composite feature analysis