🐍 V.I.P.E.R. Classification Engine (v1.0)
Maintainer: Cata Risk Lab
🧠 Model Overview
This repository contains the configuration and architecture definitions for the V.I.P.E.R. recruitment auditing system. It defines the risk thresholds and vectorization parameters used to detect "Resume Harvesting" attacks.
🛠️ Configuration
The model operates on a TfidfVectorizer pipeline optimized for short-text classification of email subjects and bodies.
- Risk Threshold: 0.75 (Confidence score required to flag as SPAM)
- Labels:
['harvesting', 'legitimate'] - Dataset: Trained on forensic recruitment data (Swiss/US/UK).
⚖️ Sovereign AI
Designed for local inference to protect user data privacy.
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