FINGEN-Al

Authors

  • CH.SAICHAITHANYA, CHAKKALALAASYA, G.RAGHAVENDRA, DARACHAKRI, MR.K.RAJASHEKARRAO Author

DOI:

https://doi.org/10.62643/

Keywords:

Artificial Intelligence, Financial Intelligence, Machine Learning, Predictive Analytics, Fraud Detection, Data Mining, Financial Forecasting, Anomaly Detection, Decision Support Systems, Smart Finance

Abstract

FINGEN-AI (Financial Intelligence Generation using Artificial Intelligence) is an advanced intelligent system designed to enhance financial decision-making through the integration of machine learning and data analytics. The system analyzes large volumes of financial data, including transactions, user behavior, and market trends, to generate meaningful insights and predictions. It incorporates predictive modeling for financial forecasting, anomaly detection techniques for fraud identification, and recommendation algorithms for personalized financial planning. By enabling real-time data processing and automated analysis, FINGEN-AI reduces manual effort, improves accuracy, and minimizes financial risks. The system provides an interactive dashboard that allows users to monitor financial activities, detect irregularities, and receive intelligent suggestions. Overall, FINGEN-AI aims to transform traditional financial management systems into smart, efficient, and secure AI-driven platforms suitable for individuals and organizations.

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Published

18-04-2026

How to Cite

FINGEN-Al. (2026). International Journal of Engineering Research and Science & Technology, 22(2(1), 877-883. https://doi.org/10.62643/