Intelligent AI Chatbot For College Campuses: A Machine Learning-Based Approach
Year: 2025
Type: article
Abstract: The integration of intelligent AI chatbots in educational environments, particularly on college campuses, has emerged as a transformative approach to enhancing student engagement, administrative efficiency, and personalized learning experiences. This paper presents a machine learning-based framework for developing an intelligent AI chatbot tailored to the unique needs of a college campus. The proposed chatbot leverages natural language processing (NLP) and deep learning techniques to understand and respond to student queries, provide real-time assistance, and facilitate access to campus resources. By utilizing supervised and reinforcement learning models, the chatbot is trained on a diverse dataset of campus-related interactions, enabling it to handle a wide range of tasks, including course registration, event notifications, academic support, and FAQ resolution. The system is designed to be scalable, user-friendly, and adaptable to the evolving needs of students and faculty. Experimental results demonstrate the chatbot's ability to accurately interpret user intent, deliver context-aware responses, and improve overall campus communication.
Author: Prof. C. D. Sawarkar, Vedant Vaidya, Abhinav Shilankar, Aniket Rajurkar, Sagar Kirtakar, Nayan Wandhare
Language: English
Topic: AI in Service Interactions
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W6949545287
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