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Merge pull request #265 from COS301-SE-2024/readme/research
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paul-nhlapo authored Oct 21, 2024
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## Research (Additional Information)

Our project aimed to contribute to GDPR compliance by designing a system that detects potential data violations in documents. We conducted extensive research on GDPR requirements using trusted resources like [www.GDPR.eu](GDPR.eu) , [www.gdpr-info.eu](gdpr-info.eu) and [www.popiact-compliance.co.za](www.popiact-compliance.co.za). The system leverages natural language processing (NLP) and machine learning to scan documents for multiple categories of GDPR-protected data. It alerts users to potential violations, promoting compliance with European data protection regulations.

The project's research contribution lies in applying machine learning models to the specific context of GDPR. We explored AI frameworks to improve the accuracy of identifying sensitive information and developed a scalable, modular system architecture.
Our research allowed us to narrow down the broadness of GDPR non-compliant data into categories that suited our project best. The categories we chose to identify are ones we believe to be the most common in text based documents.


## Team Contact
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