International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 0

India | Computer Science and Information Technology | Volume 14 Issue 11, November 2025 | Pages: 1314 - 1318


AI-Driven Android Chatbot for College Help Desk Automation

G. Mohana Priya, N. Mithraa, N. Sasikala, K. Preetha

Abstract: A Chabot, also referred to as a chatterbot, is developed to interact with users through conversation. When a question is asked, the chatbot analyzes the input and identifies the appropriate response. It functions by comparing the user's input with predefined intents and their associated responses. The proposed system utilizes a pattern-matching algorithm, where input sentences are tokenized and matched against a trained set of patterns. This technical paper focuses on developing a professional college help desk system using an Android-based chatbot, integrated with artificial intelligence and virtual assistant technologies for human-machine interaction. The chatbot captures user input in natural language and transmits it to a server for processing and generating appropriate responses. The system is designed to automatically address queries related to admissions, course information, campus facilities, and student support services. Its primary objectives are to reduce administrative workload, ensure quicker response times, and provide round-the-clock assistance.

Keywords: Artificial Intelligence, Database, Intelligence Machine, Natural Language Processing (NLP), Pattern Matching Algorithm, Android Application, College Help Desk, Virtual Assistant

How to Cite?: G. Mohana Priya, N. Mithraa, N. Sasikala, K. Preetha, "AI-Driven Android Chatbot for College Help Desk Automation", Volume 14 Issue 11, November 2025, International Journal of Science and Research (IJSR), Pages: 1314-1318, https://www.ijsr.net/getabstract.php?paperid=SR251116010732, DOI: https://dx.doi.org/10.21275/SR251116010732


Download Article PDF


Rate This Article!


Top