🏥 Health Insurance Policy Recommender Chatbot

CS 6320 - Natural Language Processing (Spring 2025)
University of Texas at Dallas

👥 Team Members

• Suraj Jayakumar
• Kevin Smith
• Joshua Martin

🎥 Demo

Watch on YouTube

💡 Project Overview

This chatbot assists users in selecting health insurance policies based on their individual needs using natural language processing. It integrates an NLP backend with a Botpress chatbot interface and a simple web front-end for easy interaction.

🚀 Getting Started

Prerequisites

Make sure you have the following installed:

• Python 3.8+
• virtualenv
• Ngrok
• Botpress

Installation Steps

1. Clone the repository

   git clone https://github.com/your-org/health-policy-chatbot.git
   cd health-policy-chatbot```
   

2. Set up a Python virtual environment

   • On macOS/Linux:

     python -m venv venv
     source venv/bin/activate

   • On Windows:

     python -m venv venv
     venv\Scripts\activate

3. Install dependencies

   pip install -r requirements.txt

4. Start the Flask backend

   python app.py

5. Deploy using ngrok

   ngrok http 5000

6. Configure Botpress

   • Import the provided Botpress workflow.
   • Navigate to the penultimate node (Execute Code card).
   • Replace the placeholder API URL with your ngrok URL.
   • Save and publish the workflow.

📂 Project Structure

├── /Chatbot/app.py # Flask backend server
├── pipeline.html # Frontend UI
├── /Chatbot/NLP_Semester_Project - 2025 May 05.bpz # Botpress workflow file
├── /TexasFilteredData # Filtered United States HIOS Data
└── README.md

🛠️ Tech Stack

• Python: Flask, pandas, spaCy
• Frontend: HTML/CSS/JS
• Bot Framework: Botpress
• Deployment: Ngrok

📄 License

This project is for educational purposes only and is not licensed for commercial use.