Chatbot Based Scheme Assistance for Citizens

Government schemes encompass diverse areas such as education, healthcare, agriculture, social welfare, and infrastructure. However, a lack of awareness and difficulty in accessing accurate information often prevents individuals from availing of these benefits. To address these challenges, this project proposes the development of a Natural Language Processing (NLP)-based chatbot designed to provide seamless access to information about Tamil Nadu government schemes. The chatbot leverages advanced NLP frameworks, such as spaCy and Hugging Face Transformers, to process and interpret user queries, delivering precise and relevant responses. Comprehensive data on government schemes is collected, preprocessed, and used to train the model. Integrated into a user-friendly interface, the chatbot ensures effortless interaction, allowing users to inquire about various initiatives and obtain real-time information. The system incorporates testing and monitoring mechanisms to ensure accuracy and adaptability to a wide array of user inputs. Regular updates are planned to reflect policy changes and maintain the chatbot's relevance. Additional features include user authentication for personalized assistance and provisions for human support to handle complex queries. By offering an intelligent conversational interface, this project aims to enhance accessibility and engagement, empowering citizens to make informed decisions and utilize available government resources effectively.

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Publication Details

Journal
International Journal of Advanced Research in Science Communication and Technology
Published
2025-04-07
DOI
https://doi.org/10.48175/ijarsct-24981
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
0.00
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article

Chatbot Based Scheme Assistance for Citizens

T. Elakkiya, M. Bhuvaneshwari, S. Janani, S. J Deebak
International Journal of Advanced Research in Science Communication and Technology
FinTech, Crowdfunding, Digital Finance
article

Chatbot Based Scheme Assistance for Citizens

T. Elakkiya, M. Bhuvaneshwari, S. Janani, S. J Deebak
article en

Abstract

Government schemes encompass diverse areas such as education, healthcare, agriculture, social welfare, and infrastructure. However, a lack of awareness and difficulty in accessing accurate information often prevents individuals from availing of these benefits. To address these challenges, this project proposes the development of a Natural Language Processing (NLP)-based chatbot designed to provide seamless access to information about Tamil Nadu government schemes. The chatbot leverages advanced NLP frameworks, such as spaCy and Hugging Face Transformers, to process and interpret user queries, delivering precise and relevant responses. Comprehensive data on government schemes is collected, preprocessed, and used to train the model. Integrated into a user-friendly interface, the chatbot ensures effortless interaction, allowing users to inquire about various initiatives and obtain real-time information. The system incorporates testing and monitoring mechanisms to ensure accuracy and adaptability to a wide array of user inputs. Regular updates are planned to reflect policy changes and maintain the chatbot's relevance. Additional features include user authentication for personalized assistance and provisions for human support to handle complex queries. By offering an intelligent conversational interface, this project aims to enhance accessibility and engagement, empowering citizens to make informed decisions and utilize available government resources effectively.

International Journal of Advanced Research in Science Communication and Technology
Swami Vivekanand College of Pharmacy (IN)
Openalex Percentile: Top 90%
FinTech, Crowdfunding, Digital Finance
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Chatbot Based Scheme Assistance for Citizens — T. Elakkiya, M. Bhuvaneshwari, et al. · International Journal of Advanced Research in Science Communication and Technology (2025) | TGRS Research Map | TGRS