A Web-Based Chatbot for Indian Cities: A Comparison of CNN, ANN, and LSTM Models
A.M. Abhishek Sai, Ommi Balamurali, Moturi Karthikeya, Sruthy Anand
Abstract
Digital transformation is necessary to bring an inclusive opportunity for technology and society to meet the needs brought by both environment, circumstances, and events. In this work, we explore the capability of Generative AI in the societal context of smart city resource management with a particular focus on tourist service management. This work attempts to collaborate many services and resources as an information service to cater to the needs of smart city tourism. We demonstrated the potential of AI in achieving this collaborative information service dissemination with the help of an AI-enabled chatbot Web-application. We also discuss the technical elements required for the real-time information management that we envision for future smart city tourism initiatives. Our experimentation shows that LSTM outperforms CNN and ANN in performance.