Interactive Financial Dashboard With Predictive Analytics And Chatbot Assistance

DOI

10.2991/978-94-6463-858-5_77How to use a DOI?

Keywords

Long Short-Term Memory (LSTM); Natural Language Processing (NLP); financial forecasting; market trend analysis; chatbot

Abstract

Financial decision-making is challenging because of large volumes of market data. Users find it difficult to interpret trends, so a tool that simplifies analysis and provides predictive insights is critical to making well-informed decisions. Existing tools such as Bloomberg Terminal and Trading View offer financial information and charts but tend to fall short on predictive modeling and AI-powered chatbot support for one-on-one help. Data Sources Uses Alpha Vantage and Yahoo Finance for real-time and historical data. Predictive Analytics: Employs LSTM models for accurate financial forecasting.

Interactive Visualizations Displays key financial metrics with dynamic charts. AI Chatbot Powered by OpenAI’s NLP, it provides real-time financial assistance and dashboard navigation. This dashboard enhances financial decision-making with AI-driven predictions and chatbot support, making real time market insights accessible and actionable. This paper introduces an Interactive Financial Dashboard with chatbot support and predictive analytics to inform users about financial trends. It uses data from Alpha Vantage and Yahoo Finance, among other sources, for analysis. The dashboard provides accurate market forecasting to support financial decision-making using Long Short-Term Memory (LSTM) models. Its main function is to simplify complex information for users by charting significant financial metrics. Users can quickly examine financial data and identify trends that influence their choices with the help of interactive graphics. Its predictive analytics function makes accurate predictions about financial performance by applying LSTM models to historical data. One of its primary features is its AI chatbot, which is driven by OpenAI’s natural language processing (NLP) and offers real-time financial support for enquiries and dashboard navigation. The helper increases involvement by providing individualised support and making insights easily accessible. Predictive analytics and chatbot assistance facilitate the financial data process. Users receive real-time market analysis and tailored advice to help them make well-informed decisions. All things considered, the solution combines easily accessible help with AI-powered predictions, signifying important advancements in the visualization and analysis of financial data.

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.

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TY  - CONF
AU  - A. Karthisha
AU  - G. Chetan Kumar
AU  - Ch. Guna Venkat Chowdary
AU  - S. Ojeshwar
AU  - S. Ram Prasad Reddy
PY  - 2025
DA  - 2025/11/04
TI  - Interactive Financial Dashboard With Predictive Analytics And Chatbot Assistance
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 913
EP  - 928
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_77
DO  - 10.2991/978-94-6463-858-5_77
ID  - Karthisha2025
ER  -