SMART DEPARTMENT-WISE COLLEGE QUERY ASSISTANT USING AI

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Abstract

In the context of educational institutions, the information tends to be scattered across notice boards, the website, spreadsheets, and manual data collection systems.Here, the AI-Based Departmental Query Assistant acts as a departmental AI chatbot aiming to enhance the availability of information to the academic community.It has been built using the Python and Flask stack and uses a structured CSV database to generate responses and extract data.Natural Language Processing helps to provide a conversational interface to the academic community to retrieve information specific to the department, including academic calendar information, events, achievements, and announcements.To manage the data well and keep it updated, each department has its own CSV database.It uses a Flask-based web server, Natural Language Processing, CSV data, role-based access control, and an intuitive chatbot interface.It provides the academic community with the ability to retrieve information through the chatbot interface, whereas the faculty and staff have the ability to upload information to the system.It provides a scalable and centralized information management system for the academic community, which helps to reduce the workload and improve communication efficiency and identify information gaps through basic query analysis.

Fields of Study & Subjects

AI in Service Interactions Artificial Intelligence in Education Engineering and Information Technology

Publication details

Journal / source
International Research Journal of Modernization in Engineering Technology and Science
Publication date
12 March 2026
Language
EN