AI-Powered Helpdesk For College Administration

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.