Kuber: An AI-Driven Finance Management Solution Integrating Generative LLMs for Personalized Advisory

Abstract: Kuber is a personalized finance management platform that leverages artificial intelligence to deliver tailored financial advice. This paper presents the design and evaluation of Kuber, focusing on its AI-driven advisory engine (using Google’s Gemini model) and finance management methodology. The system collects a user’s financial information – income, expenses, debts, assets, and goals – and generates customized recommendations for budgeting, saving, debt repayment, and investment. Using advanced AI capabilities for data analysis and natural language generation, Kuber bridges the gap between complex financial planning and user-friendly advice. A case study of a 19-year-old user with moderate income and debt is discussed to illustrate how Kuber formulates an optimized plan: the user achieves a 70% savings rate, expedited debt clearance, and guided investments to meet both short-term purchases and long-term growth targets. The results demonstrate that AI-driven personalized advisory can make sound financial planning accessible and effective for individuals.

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Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-04-20
DOI
https://doi.org/10.22214/ijraset.2025.69138
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
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article

Kuber: An AI-Driven Finance Management Solution Integrating Generative LLMs for Personalized Advisory

Vijay Tiwari, Dishit Shah -, Tejas Sonawane
International Journal for Research in Applied Science and Engineering Technology
Big Data and Business Intelligence
article

Kuber: An AI-Driven Finance Management Solution Integrating Generative LLMs for Personalized Advisory

Vijay Tiwari, Dishit Shah -, Tejas Sonawane
article en

Abstract

Abstract: Kuber is a personalized finance management platform that leverages artificial intelligence to deliver tailored financial advice. This paper presents the design and evaluation of Kuber, focusing on its AI-driven advisory engine (using Google’s Gemini model) and finance management methodology. The system collects a user’s financial information – income, expenses, debts, assets, and goals – and generates customized recommendations for budgeting, saving, debt repayment, and investment. Using advanced AI capabilities for data analysis and natural language generation, Kuber bridges the gap between complex financial planning and user-friendly advice. A case study of a 19-year-old user with moderate income and debt is discussed to illustrate how Kuber formulates an optimized plan: the user achieves a 70% savings rate, expedited debt clearance, and guided investments to meet both short-term purchases and long-term growth targets. The results demonstrate that AI-driven personalized advisory can make sound financial planning accessible and effective for individuals.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(4)
K J Somaiya Medical College (IN)
Openalex Percentile: Top 88%
Big Data and Business Intelligence
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Kuber: An AI-Driven Finance Management Solution Integrating Generative LLMs for Personalized Advisory — Vijay Tiwari, Dishit Shah -, et al. · International Journal for Research in Applied Science and Engineering Technology (2025) | TGRS Research Map | TGRS