Published Paper Details:

Because higher education institutions are changing so quickly to digital, students and university administration need to be able to talk to each other quickly and easily. Students often want to know about things like how to sign up for classes, how to pay for them, deadlines, academic rules, and other administrative tasks. But traditional manual systems often slow things down, make things less consistent, and give administrative staff more work to do. This project suggests using a chatbot to help students with questions about paying for and enrolling in college (CSM). The chatbot uses Machine Learning (ML) and Natural Language Processing (NLP) to understand and answer student questions quickly and accurately. The system offers automated help around the clock, making sure that students always get accurate, timely answers without having to rely on administrative staff. There are many parts to the chatbot, such as user interaction, natural language processing, machine learning adaptation, database management, response generation, and analytics tracking. These modules work together to understand what users are asking, get the right information from institutional databases, and give answers that are relevant to the situation. To check how well the system worked, we looked at usability metrics like response time, task completion time, and user satisfaction levels. Students said they had good experiences with the chatbot because it was easy to use, fast, clear, and they felt confident using it again. The solution cuts down on repetitive work for staff by a lot, and it also makes it easier for students to access and enjoy their work. The proposed chatbot system makes administration more efficient, makes sure that information is consistent, and makes the student experience better through smart automation.