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CitizenConnectBot(CCB): The interactive guide to government schemes
1 Assistant Professor, Department of Computer Science and Engineering, Anjalai Ammal Mahalingam Engineering College, Kovilvenni, Tamil Nadu, India.
2 UG Student, Department of Computer Science and Engineering, Anjalai Ammal Mahalingam Engineering College, Kovilvenni, Tamil Nadu, India.
Review
International Journal of Science and Research Archive, 2024, 12(01), 047-054.
Article DOI: 10.30574/ijsra.2024.12.1.0757
Publication history:
Received on 18 March 2024; revised on 27 April 2024; accepted on 29 April 2024
Abstract:
In the ever-evolving landscape of digital governance, the Generative CitizenConnectBot (CCB) emerges as a transformative tool, seamlessly bridging the gap between citizens and government schemes.The absence of real-time updates results in outdated information, undermining the effectiveness of the service. Moreover, the current translation feature limits the accessibility of scheme details for a diverse audience, creating barriers to understanding and participation. Additionally, the lack of a chatbot on schemes dissemination in the available websites complicates the process for citizens to obtain necessary information and determine eligibility, impeding their ability to benefit from available support.The CitizenConnectBot(CCB), integrated into a user-friendly website, acts as a comprehensive information hub, offering citizens tailored insights into various government initiatives.The bot's adaptability ensures that information is generated according to the unique requirements of each user.This paper employs natural language processing (NLP) techniques, including text classification with SVM, TF-IDF vectorization, regular expressions for pattern matching, and session management for maintaining conversation context.
Keywords:
Chatbot; Digital Governance; Natural Language Processing; Government schemes; Intent Recognition
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0
