GDPR Request Classifier

A Streamlit-based GDPR request classifier that maps data subject requests to relevant GDPR articles and recommended compliance actions.

Live App

Launch the app

Overview

This project helps triage common GDPR-related requests by classifying the request, linking it to the relevant GDPR article, and suggesting an appropriate compliance action.

It is designed as a lightweight portfolio project to demonstrate practical knowledge of GDPR, compliance workflows, and Python-based application development.

Features

• Classifies common GDPR request types using rule-based logic
• Maps requests to relevant GDPR articles
• Suggests a recommended compliance action
• Assigns a priority level
• Stores recent classifications in SQLite
• Allows users to download recent history as CSV
• Includes a simple Streamlit interface for testing and demonstration

GDPR topics covered

• Article 15 — Right of Access
• Article 16 — Right to Rectification
• Article 17 — Right to Erasure
• Article 18 — Right to Restriction of Processing
• Article 20 — Right to Data Portability
• Article 21 — Right to Object
• Article 22 — Automated Decision-Making
• Article 13 & 14 — Right to be Informed
• Article 33 — Personal Data Breach Notification
• Article 77 — Right to Lodge a Complaint

Tech stack

• Python
• Streamlit
• Pandas
• SQLite

Project structure

gdpr-classifier/
├── streamlit_app.py
├── classifier.py
├── requirements.txt
├── .gitignore
└── README.md

How it works

1. A user enters a GDPR-related request into the Streamlit interface.
2. The app passes the text to a rule-based classifier in classifier.py.
3. The classifier returns:
   • request type,
   • GDPR article,
   • recommended action,
   • priority level.
4. The result is displayed in the app and optionally logged to a local SQLite database.

Run locally

git clone https://github.com/ShivamKumar20-AI/gdpr-classifier.git
cd gdpr-classifier
python -m venv venv
source venv/bin/activate
pip install -r requirements.txt
streamlit run streamlit_app.py

Deployment

This app is deployed on Streamlit Community Cloud:

https://gdpr-classifier.streamlit.app/

Notes

• The classifier is rule-based and keyword-driven.
• SQLite storage on Streamlit Community Cloud is temporary and may reset after app restarts.
• This project is intended for learning, prototyping, and portfolio demonstration rather than production use.

Possible improvements

• Replace rule-based logic with an NLP or ML-based classifier
• Add confidence scoring
• Store history in a persistent cloud database
• Add audit logging and role-based access controls
• Expand coverage for more nuanced GDPR scenarios

Author

Shivam Kumar

• GitHub: https://github.com/ShivamKumar20-AI
• LinkedIn: https://linkedin.com/in/shivam-kumar-554395239