In this project, we describe the development and implementation of a chatbot for the University of Texas Permian Basin (UTPB). The chatbot is designed to provide information and answer questions from students, faculty, staff, and prospective students. It is built using natural language processing (NLP) techniques and leverages various university resources to provide comprehensive and informative responses. We discuss the chatbot’s architecture, its key features, and the evaluation process. The results show that the chatbot is able to understand and respond to a wide range of questions with high accuracy. We believe that the chatbot has the potential to be a valuable tool for improving communication and access to information at UTPB.

Run Project

The Github repository can also be found here:

git clone https://github.com/bpeyefoundation/RMS


cd project

python -m venv myenv


source myenv/bin/activate


pip3 install -r requirements.txt



Run chatbot: rasa run -m models --enable-api --cors "*" --debug

python3 manage.py runserver