Update README.md

README.md

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----
-license: mit
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+---
+tags:
+- text-classification
+- recruitment
+- forensics
+- security
+license: mit
+datasets:
+- dcata004/recruiter-harvesting-dataset-v1
+pipeline_tag: text-classification
+---
+
+# 🐍 V.I.P.E.R. Classification Engine (v1.0)
+**Maintainer:** [Cata Risk Lab](https://huggingface.co/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.