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Hybrid Log Classification System

This project implements a hybrid approach to log classification using three sequential layers:

Rule-Based Regex Classifier

Machine Learning Classifier 

Large Language Model (LLM) Fallback Classifier

The system is designed for high-volume and diverse log environments where traditional single-method classification is insufficient.

Installation

python -m venv venv

source venv/bin/activate

pip install -r requirements.txt

About

Built a hybrid log classification system using three sequential layers: regex rules for fast pattern matching, a machine learning classifier for structured patterns, and an LLM fallback for ambiguous cases. Designed for high-volume log environments where single-method classification fails

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