AI-powered question answering system based on the Pakistan Penal Code, using PDF parsing, semantic search, and language models.
Here’s a clean and professional README.md
file tailored for your notebook and GitHub repo that builds a QA system on the Pakistan Penal Code:
Pakistan Penal Code QA is an AI-powered question answering system built on the official legal text of the Pakistan Penal Code. This project parses the PPC from PDF, semantically indexes it using vector embeddings, and enables users to query it in natural language for relevant, law-grounded answers.
- ✅ Extracts and processes PPC from PDF format
- ✅ Splits content into chunks suitable for semantic search
- ✅ Generates embeddings using HuggingFace transformer models
- ✅ Stores embeddings in FAISS vector database for efficient similarity search
- ✅ Enables legal question answering using LangChain’s RetrievalQA
- ✅ Provides a quick preview of extracted legal text
- Python
- PyMuPDF (
fitz
) – for PDF parsing - LangChain – for LLM integration and QA pipeline
- HuggingFace Transformers – for text embeddings
- FAISS – for similarity search
- (Optional: Gradio or Streamlit for UI)
-
Clone the repository
git clone https://github.com/your-username/pakistan-penal-code-qa.git cd pakistan-penal-code-qa
-
Install dependencies
pip install -r requirements.txt
-
Add your PPC PDF
- Place your
pakistan_penal_code.pdf
in the root directory.
- Place your
-
Run the notebook
- Open
pakistan_panel_code.ipynb
in Jupyter Notebook or JupyterLab. - Follow the steps to extract text, embed content, and run queries.
- Open
Ask a question like:
“What is the punishment for theft under the Pakistan Penal Code?”
The system will return the relevant section and details from the legal text.
- Add a Gradio or Streamlit interface
- Extend support to other Pakistani laws (e.g., CPC, CRPC, Evidence Act)
- Build a chatbot or WhatsApp bot using this QA pipeline
This project is for educational and informational use only. Not intended for official legal advice.
Let me know if you want me to include a requirements.txt
too or link to a live demo.