Financial and investment Advise Bot
- DOI
- 10.2991/978-94-6463-858-5_22How to use a DOI?
- Keywords
- AI chat-bot; financial advisory; personalized investment advice; natural language processing; machine learning; financial literacy; budgeting; retirement planning; user engagement
- Abstract
The issue of inability to obtain personalized investment advice has remained a significant problem in the financial service industry due to prohibitive costs and limited access to traditional advisory services. The present study outlines an AI-based chatbot with a view to providing accessible financial advice in investment strategies and comprehensive financial planning assistance. The chatbot generates unique recommendations for budgeting, investment management, and retirement planning by incorporating real-time data through financial institution APIs. The chatbot system employs advanced NLP techniques and ML algorithms for the continuous improvement of its functionalities. Data privacy and regulatory compliance apparatus are implemented at the preprocessing stage to assure that any and all user information is kept relevant. The results from this research show that the chatbot can give timely and relevant advice, subsequently imbibing financial literacy and informed decision-making. The paper furthermore discusses the general implementation of AI in financial advisory services and highlights future developments to enhance inclusivity.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Sonali S. Antad AU - Rahul N. Solanke AU - Rohit Pandita AU - Yash Kulkarni AU - Soham R. Pardeshi PY - 2025 DA - 2025/11/04 TI - Financial and investment Advise Bot BT - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025) PB - Atlantis Press SP - 245 EP - 253 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-858-5_22 DO - 10.2991/978-94-6463-858-5_22 ID - Antad2025 ER -