Review on AI Chatbot for College Event Reminder

As digital technologies reshape higher education, the demand for intelligent systems thatenhance communication and student support continues to grow. This paper presents a comprehensivestudy on the design and deployment of an AI powered chatbot system tailored specifically for collegeevent reminders. The proposed system integrates state-of-the-art technologies including large languagemodels (LLMs), natural language processing (NLP), and voice/multilingual interfaces to create aconversational assistant that is not only informative but also interactive and context aware. Drawinginspiration from various chatbot implementations across educational contexts, the system addresseskey challenges such as data accessibility, user engagement, personalization, and emotional tonerecognition. Features include scheduling, voice-based interactions, mood-sensitive responses, anddual-language support to ensure inclusivity. The chatbot is further enhanced by adaptive learningcapabilities and memory augmentation, allowing it to simulate human-like understanding and recall relevant information over time.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-15
DOI
https://doi.org/10.5281/zenodo.15669037
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00
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article

Review on AI Chatbot for College Event Reminder

Zenodo (CERN European Organization for Nuclear Research)
Advanced Sensor and Energy Harvesting Materials
article

Review on AI Chatbot for College Event Reminder

article en

Abstract

As digital technologies reshape higher education, the demand for intelligent systems thatenhance communication and student support continues to grow. This paper presents a comprehensivestudy on the design and deployment of an AI powered chatbot system tailored specifically for collegeevent reminders. The proposed system integrates state-of-the-art technologies including large languagemodels (LLMs), natural language processing (NLP), and voice/multilingual interfaces to create aconversational assistant that is not only informative but also interactive and context aware. Drawinginspiration from various chatbot implementations across educational contexts, the system addresseskey challenges such as data accessibility, user engagement, personalization, and emotional tonerecognition. Features include scheduling, voice-based interactions, mood-sensitive responses, anddual-language support to ensure inclusivity. The chatbot is further enhanced by adaptive learningcapabilities and memory augmentation, allowing it to simulate human-like understanding and recall relevant information over time.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 56%
Advanced Sensor and Energy Harvesting Materials
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