This project aims to detect Personally Identifiable Information (PII) in unstructured data using advanced language models. By leveraging the capabilities of modern NLP techniques, we can accurately identify and classify sensitive information within text, ensuring data privacy and compliance with regulations.
- PII Detection: Identify various types of PII such as names, addresses, phone numbers, emails, Social Security Numbers (SSNs), and more.
- Customizable: Easily extend the detection capabilities to include additional types of PII based on your requirements.
- Scalable: Designed to handle large volumes of unstructured text data efficiently.
- Integrations: Compatible with various data sources and can be integrated into existing data processing pipelines.