Intelligent AI Chatbot For College Campuses: A Machine Learning-Based Approach

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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-30
DOI
https://doi.org/10.5281/zenodo.15400530
Primary Topic
Complementary and Alternative Medicine Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Intelligent AI Chatbot For College Campuses: A Machine Learning-Based Approach

Zenodo (CERN European Organization for Nuclear Research)
Complementary and Alternative Medicine Studies
article

Intelligent AI Chatbot For College Campuses: A Machine Learning-Based Approach

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Tatyasaheb Kore Dental College and Research Centre (IN)
Quality Education
Openalex Percentile: Top 38%
Complementary and Alternative Medicine Studies
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