This project is a desktop application built to assist UGA students with quick, voice-activated information. The assistant listens to a 5-second audio input and determines whether the user is asking about the date, campus bus occupancy, or dining hall availability. It uses speech recognition to process the spoken question, parses keywords to identify intent, and then displays or fetches the relevant information. The team integrated the Google Speech Recognition API, tkinter for a simple GUI, and external data sources for real-time dining and bus info.
GitHub: https://github.com/nachikethinge01/Bulldawg-Assistant
Semester: Fall 2021
Technologies: Python, Tkinter, Speech Recognition, Beautiful Soup
Developers: Jackson Alvarez, Ashwin Nayak, Nachiket Hinge, Jun Mun