Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{192166,
author = {Ashutosh Khedkar and Anuj Khude and Abhith Kanayath and Pranav Sawant and Priyanka P. Sherkhane},
title = {AI Driven Financial Advisor},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {9},
pages = {309-316},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=192166},
abstract = {The AI-Driven Financial Advisor is an intelligent web-based platform developed to help users make informed financial and investment decisions through data-driven analysis. The system employs a hybrid AI approach, combining recommendation models and large language models (LLMs) to provide personalized investment suggestions, including Fixed Deposits, Mutual Funds, Gold/REITs, and Stock Market options. It evaluates multiple user factors such as age, income, savings, financial goals, dependents, and risk preferences to tailor recommendations. Additionally, the platform features an LLM-powered conversational interface that delivers explainable insights, helping users understand the rationale behind each suggestion. The system also includes financial planning tools and a dynamic news module to keep users informed about market trends. By integrating predictive analytics, explainable AI, and a user-friendly interface, the platform offers an accessible and intelligent financial advisory solution for modern investors.},
keywords = {AI-Driven Financial Advisor, Hybrid Recommendation System, Large Language Model, Personalized Finance Assistant, Predictive Analytics, Explainable AI, Investment Guidance},
month = {February},
}
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