AI-Driven Financial Analyst
In the current study, large language models that process user queries and analyse stock market data are compared and used to construct an AI-enabled platform for real-time financial data analysis. In this regard, the proposed platform integrates many data sources that might be used for aggregate analysis, concentrating on the top 50 Indian NSE equities through front-end development using ReactJS and back-end development using Python Flask. The technology provides insights that are pertinent to time and events by gathering data at every imaginable level, from daily reports regarding filings and company actions to minute updates of stock tickers. The design, process, data classification, constraints, and suggestions for future iterations are the main topics of this study.
Authors
- Nidhi Umashankar
- Chandu Siddartha Gooty
Institutions
- International Institute of Information Technology Bangalore (IN)
Publication Details
- Published
- 2025-03-28
- DOI
- https://doi.org/10.1109/icdsaai65575.2025.11011880
- Primary Topic
- Stock Market Forecasting Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00