Research Article
Ticket Classification Tool using Streamlit and GenAI
@INPROCEEDINGS{10.4108/eai.28-4-2025.2357989, author={B Vinodhini and M Lavanya and Abhinav S and Akhilesh P and Jeeva K and Kalaiarasan S}, title={Ticket Classification Tool using Streamlit and GenAI}, proceedings={Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part II}, publisher={EAI}, proceedings_a={ICITSM PART II}, year={2025}, month={10}, keywords={ai ml nlp tf-idf xai it ui svm}, doi={10.4108/eai.28-4-2025.2357989} }- B Vinodhini
M Lavanya
Abhinav S
Akhilesh P
Jeeva K
Kalaiarasan S
Year: 2025
Ticket Classification Tool using Streamlit and GenAI
ICITSM PART II
EAI
DOI: 10.4108/eai.28-4-2025.2357989
Abstract
This project presents an automated IT support and customer service system that categorizes incoming requests based on priority. It uses Streamlit, a Python framework, to create an interactive app for ticket classification. The system leverages machine learning algorithms to process and categorize ticket content into technical support issues, billing inquiries, or general questions. By automating ticket categorization, it speeds up response times, reduces manual effort, and optimizes resource allocation. Key features include easy ticket upload, real-time predictions, and visual analytics. Streamlit’s scalability makes the solution adaptable to various organizational needs. This project demonstrates how machine learning and modern web technology can enhance ticket management efficiency.
