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Original Article
AI Finance: An Intelligent Financial Advisor using Artificial intelligence
Fatima al zahra1
Dr. Khaja Mahabubullah2
1Student, MCA Deccan College of Engineering and Technology, Hyderabad, Telangana, India. 2Professor & HOD, MCA Deccan College of Engineering and Technology, Hyderabad, Telangana, India.
Published Online: September-December 2025
Pages: 45-50
Cite this article
↗ https://www.doi.org/10.59256/indjcst.20250403009
References
1. S. Zhang, Y. Guo, L. Li, and J. Gao, “Application of artificial intelligence in financial risk prediction: A review,” IEEE Access, vol. 9, pp. 152832–152848, 2021.
2. J. B. Heaton, N. G. Polson, and J. H. Witte, “Deep learning for finance: Deep portfolios,” Applied Stochastic Models in Business and Industry, vol. 33, no. 1, pp. 3–12, 2017.
3. L. Deng and D. Yu, “Deep learning: Methods and applications,” Foundations and Trends in Signal Processing, vol. 7, no. 3–4, pp. 197–387, 2014.
4. D. Maringer and O. Oyewumi, “Financial forecasting with artificial intelligence,” in Handbook of Computational Intelligence in Finance, Springer, 2020, pp. 1–25.
5. A. L. Treleaven, M. Galas, and V. Lalchand, “Algorithmic trading and artificial intelligence,” IEEE Artificial Intelligence Magazine, vol. 39, no. 1, pp. 17–28, 2018.
6. M. Anik and S. Saha, “AI-powered robo-advisors: An analysis of benefits and risks,” Journal of Financial Innovation, vol. 7, no. 2, pp. 45–56, 2020.
7. M. L. Lee and K. K. Lee, “Natural language processing applications in financial advisory systems,” in Proc. IEEE International Conference on Data Science and Advanced Analytics (DSAA), pp. 305–314, 2019.
8. B. K. Mishra, A. Jain, and S. Choudhary, “Smart personal finance assistant using AI and machine learning,” International Journal of Computer Applications, vol. 183, no. 40, pp. 1–7, 2022.
9. R. Narayan, “Role of AI in financial inclusion: Opportunities and challenges,” Journal of Financial Inclusion, vol. 9, no. 1, pp. 27–41, 2021.
10. R. K. Gupta, A. Jain, and P. Shukla, “Artificial intelligence for financial services: A review of applications and challenges,” International Journal of Advanced Research in Computer Science, vol. 11, no. 5, pp. 25–33, 2020.
2. J. B. Heaton, N. G. Polson, and J. H. Witte, “Deep learning for finance: Deep portfolios,” Applied Stochastic Models in Business and Industry, vol. 33, no. 1, pp. 3–12, 2017.
3. L. Deng and D. Yu, “Deep learning: Methods and applications,” Foundations and Trends in Signal Processing, vol. 7, no. 3–4, pp. 197–387, 2014.
4. D. Maringer and O. Oyewumi, “Financial forecasting with artificial intelligence,” in Handbook of Computational Intelligence in Finance, Springer, 2020, pp. 1–25.
5. A. L. Treleaven, M. Galas, and V. Lalchand, “Algorithmic trading and artificial intelligence,” IEEE Artificial Intelligence Magazine, vol. 39, no. 1, pp. 17–28, 2018.
6. M. Anik and S. Saha, “AI-powered robo-advisors: An analysis of benefits and risks,” Journal of Financial Innovation, vol. 7, no. 2, pp. 45–56, 2020.
7. M. L. Lee and K. K. Lee, “Natural language processing applications in financial advisory systems,” in Proc. IEEE International Conference on Data Science and Advanced Analytics (DSAA), pp. 305–314, 2019.
8. B. K. Mishra, A. Jain, and S. Choudhary, “Smart personal finance assistant using AI and machine learning,” International Journal of Computer Applications, vol. 183, no. 40, pp. 1–7, 2022.
9. R. Narayan, “Role of AI in financial inclusion: Opportunities and challenges,” Journal of Financial Inclusion, vol. 9, no. 1, pp. 27–41, 2021.
10. R. K. Gupta, A. Jain, and P. Shukla, “Artificial intelligence for financial services: A review of applications and challenges,” International Journal of Advanced Research in Computer Science, vol. 11, no. 5, pp. 25–33, 2020.
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