Nigerian ICT Law Assistant

Project Overview

The Nigerian ICT Law Assistant is a Retrieval-Augmented Generation (RAG) system designed to provide answers to questions related to Nigerian ICT laws. It leverages a pre-built knowledge base, a Large Language Model (LLM) via Groq API, and FAISS vector database to retrieve relevant information efficiently.

This chatbot helps legal professionals, policymakers, researchers, and the general public quickly access information on Nigerian ICT regulations, policies, and challenges.

---

Test Questions

To evaluate the chatbot's accuracy in answering legal questions, use the following test cases based on the document
"ICT Laws in Nigeria: Planning and Regulating a Societal Journey into the Future".

1. What is the primary objective of the Wireless Telegraphy Act in Nigeria?

Expected Answer: The Wireless Telegraphy Act (WTA), enacted in 1961, aims to regulate the use of wireless telegraphy apparatus and ensure proper management of the radio frequency spectrum in Nigeria.

2. Which agency is responsible for implementing ICT policies in Nigeria?

Expected Answer: The National Information Technology Development Agency (NITDA) is tasked with implementing ICT policies in Nigeria, focusing on fostering the development and growth of information technology within the country.

3. Identify one major challenge associated with regulating ICT in Nigeria as discussed in the document.

Expected Answer: One significant challenge is the rapid technological convergence, which complicates the regulatory framework and necessitates continuous adaptation to effectively oversee the evolving ICT landscape.

4. What is the vision outlined in Nigeria's National ICT Policy?

Expected Answer: The vision is to transform Nigeria into a knowledge-based and globally competitive society by fully integrating Information and Communication Technologies into all facets of socio-economic development.

5. According to the document, why is it necessary to regulate ICT services in Nigeria?

Expected Answer: Regulating ICT services is essential to ensure fair competition, protect consumers, manage the radio frequency spectrum effectively, and promote national security and socio-economic development.

These questions will help assess the chatbot's accuracy and its ability to retrieve relevant legal information.

---

Project Structure

• ICT_Law_Assistant.py – The main Streamlit application that serves as the chatbot interface.
• llm_retrieval.py – Handles the retrieval process and defines the LLM-powered QA system.
• vector_database.py – Manages the FAISS vectorstore, including database loading and querying.
• vectorstore/ – Stores the FAISS vector database created from the knowledge source.
• Knowledge_Source/ – Contains the source documents used to build the vector database.
• Dockerfile – Configuration file for containerizing the chatbot with Docker.
• Pipfile / Pipfile.lock – Defines project dependencies using pipenv.

---

Setup Instructions

1. Clone the Repository

git clone https://github.com/your-repo/Nigerian-ICT-Law-Assistant.git
cd Nigerian-ICT-Law-Assistant

2. Install Dependencies with pipenv

Ensure you have pipenv installed. If not, install it first:

pip install pipenv

Then, install dependencies from the Pipfile:

pipenv install

3. Set Up Environment Variables

Create a .env file in the project directory and add your Groq API key

4. Run the Application

Activate the pipenv virtual environment:

pipenv shell

Then, start the Streamlit chatbot:

streamlit run ICT_Law_Assistant.py

---

Running with Docker

To run the chatbot using Docker, first build the image:

docker build -t nigerian-ict-law-assistant .

Then, run the container:

docker run -p 8501:8501 -v $(pwd)/vectorstore:/app/vectorstore nigerian-ict-law-assistant

The chatbot will be available at: http://localhost:8501