AI-Powered Helpdesk For College Administration
OUR TEAM GUIDE : Mrs. V . V . VISHNUPRIYA (Assistant professor)
Department of Computer science and engineering
Angel college of engineering and technology, Tirupur
Arivananthan . T
Department of computer science Engineering Angel College of Engineering and technology , Tirupur
arivananthan144@gmail.com
Parvathi . K
Department of computer science Engineering Angel College of Engineering and technology , Tirupur
parvathiad7@gmail.com
Udhayan . S
Department of computer science Engineering Angel College of Engineering and technology , Tirupur
vasukisasikumar1000@gmail.com
Deva Priyan . G.H
Department of computer science Engineering Angel College of Engineering and technology , Tirupur
deva637462@gmail.com
ABSTRACT
This paper presents the design and implementation of an AI-powered helpdesk system for college administration. The proposed system integrates a chatbot using Natural Language Processing (NLP) techniques to automate student queries related to attendance, fees, examinations, and placements. The system uses TF-IDF vectorization with a Naive Bayes classifier for intent classification, enabling accurate understanding of user queries.
A context memory module is incorporated to maintain conversational flow by tracking previous interactions within a session. Additionally, the system includes ERP data integration to fetch real-time student information from the database. A predictive notification engine based on rule-based threshold algorithms is used to alert students about low attendance, poor academic performance, and other important updates.
The application is developed as a web-based platform using HTML, CSS, JavaScript for frontend and Python Flask for backend, with MySQL/SQLite as the database. The system aims to reduce manual workload, improve response efficiency, and provide 24/7 support for students through cloud deployment.
KEYWORDS
AI Chatbot
Natural Language Processing (NLP) TF-IDF
Naive Bayes Classifier Context Memory
ERP Integration
Predictive Notification
College Helpdesk System Sentiment Analysis
Web Application
