A professional OOP library for PII redaction in recruitment documents.
Project description
CloudResumeSanitizer
====================
A professional OOP library for PII (Personally Identifiable Information)
redaction in cloud-native recruitment systems.
Research motivation: Brookings Institution (2024) & MIT Sloan (Li et al., 2023)
on Algorithmic Bias in Automated Hiring.
Installation
pip install -e backend/app/libraries/sanitizer
Usage
from sanitizer import ResumeSanitizer
sanitizer = ResumeSanitizer()
clean_text = sanitizer.sanitize_text(resume_text)
Purpose
This library strips PII (Names, Emails, Phone Numbers, LinkedIn URLs) from resume text before it is sent to a cloud AI service (Google Gemini). This implements the "Blind Hiring" technique recommended by academic research to reduce Algorithmic Bias in recruitment systems.
Features
- Email Redaction
- Phone Number Redaction
- LinkedIn URL Redaction
- Physical Address Redaction
- Configurable Mask Character (default: [REDACTED])
Project details
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