Project Abstract

The integration of digital technologies into educational frameworks has led to a significant rise in reliance on IT services within universities. This reliance, while beneficial, introduces a multitude of challenges, particularly in managing the high volume and diversity of IT-related queries from a broad user base, including students, faculty, and visitors. Traditional IT support mechanisms, predominantly reliant on human-operated service desks, increasingly face limitations in scalability and the ability to provide immediate assistance. Consequently, there is a pressing need for innovative solutions that offer scalable, efficient, and effective IT support services. This project addresses these challenges by developing a chatbot designed to autonomously handle IT service queries at a university. Leveraging advancements in Natural Language Processing (NLP) and machine learning, this chatbot is engineered to understand, process, and respond to a wide array of IT-related queries, thereby enhancing the accessibility and responsiveness of IT support services, improving user satisfaction, and alleviating the workload on human IT support staff. Utilizing Python, one of the most versatile programming languages, this chatbot integrates sophisticated algorithms to enhance interaction and learning capabilities.

Keywords: Artificial Intelligence (AI), Human Computer Interaction (HCI),

 Conference Details

Session: Presentation Stream 9 at Presentation Slot 5

Location: GH022 at Tuesday 7th 13:30 – 17:00

Markers: Raziyeh Moghaddas (GTA), Ulrich Berger

Course: MSc Computer Science, Masters PG

Future Plans: I’m looking for work