A College Inquiry Chatbot System

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Jayraj Gajul; Shyam.R.Bramhankar; Sanchit.S.Garad; Vedika.D.Deshmukh; A.D.Tawlare

A College Inquiry Chatbot System

Authors: Jayraj Gajul, Shyam.R.Bramhankar, Sanchit.S.Garad, Vedika.D.Deshmukh, A.D.Tawlare

Unique Paper ID: 180647
Volume: 12
Issue: 1
PageNo: 1838-1842

Keywords: College Chatbot Natural Language Processing (NLP) Intent Classification XGBoost Flutter Python Virtual Assistant Student Query System AI in Education Cross-Platform Application

Abstract:
In today’s digital era, educational institutions are embracing AI-driven technologies to improve communication and streamline administrative processes This paper presents the College Inquiry Chatbot System, an intelligent, cross-platform virtual assistant designed to handle common student queries related to college activities, admissions, academics, and campus facilities Built using Flutter for the frontend and a Python-based backend integrated with Natural Language Processing (NLP) and an XGBoost-based intent classification model, the chatbot delivers real-time, relevant responses to user inquiries The system reduces manual workload, enhances accessibility, and ensures consistent support for students and visitors This paper details the architecture, implementation, and benefits of deploying such a system in a college environment

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Cite This Article

ISSN: 2349-6002
Volume: 12
Issue: 1
PageNo: 1838-1842

A College Inquiry Chatbot System

Available:https://ijirt.org/article?manuscript=180647

09 Nov, 2024

A Study on the Development of a College Inquiry Chatbot System

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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