Publication Type : Conference Proceedings
Publisher : IEEE
Source : 2024 4th International Conference on Sustainable Expert Systems (ICSES)
Url : https://doi.org/10.1109/icses63445.2024.10762957
Campus : Bengaluru
School : School of Computing
Department : Computer Science and Engineering
Year : 2024
Abstract : This research introduces a new and improved model for a financial chatbot based on deep learning, machine learning, and natural language processing to provide suitable financial services and increase the financial literacy of users. It utilizes a detailed financial database, another complex machine learning structure for market forecasts., and natural language processing to parse user questions. Moreover, there is the customer resource management feature that applies machine learning in the analysis of financial data and natural language processing for understanding the user”s intent. The paper also looks into the use of transport layer security (TLS) encryption to secure the flow of the sensitive information, the data that is to be transmitted from the chatbot server to the user clients. By integrating the dimensions of concepts such as financial analysis, personal finance advice, and data transmission, this research provides an extensive and secure approach to improving one”s financial situation.
Cite this Research Publication : T. Anisha Reddy, S Akhilesh, Sodum Manogna, Sreebha Bhaskaran, Kavitha C.R., Building a Secure and Scalable Finance Chatbot: Client-Server Architecture, Load Balancing, and TLS Security, 2024 4th International Conference on Sustainable Expert Systems (ICSES), IEEE, 2024, https://doi.org/10.1109/icses63445.2024.10762957