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.
Institutions
- Tatyasaheb Kore Dental College and Research Centre (IN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-03-30
- DOI
- https://doi.org/10.5281/zenodo.15400529
- Primary Topic
- AI in Service Interactions
- Type
- article
- Field-Weighted Citation Impact
- 0.00