Metadata-Version: 2.4
Name: CloudResumeSanitizer
Version: 1.0.1
Summary: A professional OOP library for PII redaction in recruitment documents.
Home-page: https://github.com/nandhakumar12/ATS-Resume
Author: Nandhakumar Thangaraju
Author-email: nt.25126067@student.ncirl.ie
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Security
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: requires-python
Dynamic: summary

# 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

```bash
pip install -e backend/app/libraries/sanitizer
```

## Usage

```python
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])
