| --- |
| 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. |
