using RASA Framework

The CPSC-11 team worked with Cynthia Freeman from Verint Systems to develop a domain-specific chatbot to recognize and respond to at least 250 user intents (goals of the end user) on Gonzaga University’s website. This is an ongoing project from previous years of the senior design program, and the current team was tasked with creating a working prototype of this chatbot using the open source RASA framework and integrating it into a mockup of the university’s website. User intents were developed using a combination of past Google search queries involving Gonzaga as well as unsupervised data analysis on documents scraped from Gonzaga’s website, leveraging machine learning models from Hugging Face and clustering techniques on SciKit-Learn.