Paper Key : IRJ************196
Author: Rashmi Shivanand Sampagar,Samruddhi Shankar Shejal,Sanika Krushnarao Nigade,Vaishnavi Anil Pawar
Date Published: 09 Nov 2024
Abstract
This research presents the development of a personalized college chatbot designed to enhance student and staff experiences within a college setting. The chatbot offers a range of functionalities, including event reminders, campus navigation assistance, admission guidance, and information on hostel and dining facilities. Unlike traditional college information systems that rely on static web portals and manual processes, this chatbot employs advanced AI technologies such as Long Short-Term Memory (LSTM) and Bidirectional Encoder Representations from Transformers (BERT) to understand and respond to user queries in real time. These technologies enable the chatbot to provide personalized, context-aware responses, significantly improving accessibility and efficiency for users. Existing solutions in educational institutions often focus on isolated tasks such as enrollment support but lack comprehensive integration for various student needs. This project addresses these gaps by offering a holistic solution that supports a wide range of student services, enhancing communication and interaction within the college environment. The proposed system is designed to be scalable and adaptable, providing a foundation for further enhancements and the integration of additional features in the future. Keywords: Machine learning, AI-driven Assistance, Long Short-Term Memory (LSTM), Bidirectional Encoder Representations from Transformers (BERT).
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