AI Chatbot for PDF Question Answering

This project is a web-based chatbot application that can answer questions based on the content of a provided PDF document. The system is composed of two main parts: the frontend built with ReactJS and Material-UI (MUI), and the backend developed in Django with a machine learning (ML) model to process and retrieve answers from the PDF content.

Features

• Upload PDF: Users can upload a PDF document for the chatbot to process.
• Ask Questions: Once the PDF is uploaded, users can ask questions related to the content of the document.
• The backend uses machine learning models to extract relevant answers from the PDF.

Project Structure

Frontend:

The frontend is built using ReactJS and Material-UI to create a responsive and dynamic UI.

Backend:

The backend is implemented using Django and handles the following:

• PDF Processing: Extracts text content from the uploaded PDF.
• Machine Learning Model: An ML model is used to answer questions by matching user queries with relevant parts of the document.
• API Endpoints: REST API endpoints are provided to handle PDF uploads, user queries, and answer responses.

ML Model:

The ML model is used to process the text extracted from the PDF and generate relevant answers based on the user's questions.

Setup

Prerequisites:

• Python 3.8+
• Node.js and npm (for frontend)
• Django
• ReactJS
• Required Python packages for the backend (can be installed via requirements.txt )
• Required npm packages for the frontend (can be installed via npm install )

Installation

Backend (Django)

• Clone the repo & intall packages

    git clone https://github.com/ayushdiitr/ai-pdf-chatbot
    cd app
    pip install -r requirements.txt

• Apply database migrations

  python manage.py migrate

• Create .env

  API_KEY='your_hf_secret_key_here'

• Start Django server

  python manage.py runserver

  Frontend (ReactJS)

• Navigate to Frontend directory & install packages

    cd frontend &&
    npm install

• Start React development server

  npm start