SchemeBot - AI Enabled Chatbot for Government Schemes
Manisha P. Mali, Akshada Mane, Sneha Rahate, Vaishnavi Shinde, Akshata Vibhute, Garv Chopda · International Journal for Research in Applied Science and Engineering Technology · 2024
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.