SchemeBot - AI Enabled Chatbot for Government Schemes

Abstract: Government assistance programs are essential to socioeconomic growth, but their influence is frequently constrained by a lack of accessibility and public awareness. We introduce SchemeBot, an intelligent chatbot created to close this information gap by giving citizens quick access to details on a variety of government initiatives. With a focus on three core areas— agriculture, healthcare, and women and children—SchemeBot uses a solid backend foundation in conjunction with an organized frontend interface to provide a smooth user experience. The chatbot uses sophisticated text preprocessing methods, such as tokenization, bag-of-words, case normalization, and lemmatization, to improve the accuracy and clarity of data using JSON-formatted input. A multi-layer neural network with ReLU activation functions powers the chatbot's response creation, ensuring accurate and contextually relevant interactions. The system architecture, development process, and assessment metrics of SchemeBot are described in this study, which also highlights its potential as a scalable solution to improve the efficacy and outreach of government projects. According to our research, SchemeBot greatly enhances information accessibility and is an essential instrument for raising public awareness of welfare programs.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2024-11-27
DOI
https://doi.org/10.22214/ijraset.2024.65531
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

SchemeBot - AI Enabled Chatbot for Government Schemes

Vaishnavi Shinde, Manisha Mali, Akshada Mane, Sneha Rahate et al.
International Journal for Research in Applied Science and Engineering Technology
AI in Service Interactions
article

SchemeBot - AI Enabled Chatbot for Government Schemes

Vaishnavi Shinde, Manisha Mali, Akshada Mane, Sneha Rahate, Akshata Vibhute, Garv Chopda
article en

Abstract

Abstract: Government assistance programs are essential to socioeconomic growth, but their influence is frequently constrained by a lack of accessibility and public awareness. We introduce SchemeBot, an intelligent chatbot created to close this information gap by giving citizens quick access to details on a variety of government initiatives. With a focus on three core areas— agriculture, healthcare, and women and children—SchemeBot uses a solid backend foundation in conjunction with an organized frontend interface to provide a smooth user experience. The chatbot uses sophisticated text preprocessing methods, such as tokenization, bag-of-words, case normalization, and lemmatization, to improve the accuracy and clarity of data using JSON-formatted input. A multi-layer neural network with ReLU activation functions powers the chatbot's response creation, ensuring accurate and contextually relevant interactions. The system architecture, development process, and assessment metrics of SchemeBot are described in this study, which also highlights its potential as a scalable solution to improve the efficacy and outreach of government projects. According to our research, SchemeBot greatly enhances information accessibility and is an essential instrument for raising public awareness of welfare programs.

International Journal for Research in Applied Science and Engineering TechnologyVol. 12(11)
Openalex Percentile: Top 81%
AI in Service Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.