AI Driven Personal Finance Management System A Survey

Artificial intelligence is significantly reshaping financial management, enabling new levels of automation, personalization, and predictive insight for both individuals and organizations. As digital financial services expand, AI-driven tools are increasingly used for budgeting, investment management, risk assessment, and tracking financial goals. This paper explores the convergence of AI and financial technology by reviewing recent research, core functionalities, and real-world implementations. The analysis identifies major challenges like data privacy, algorithmic bias, integration complexity, and ethical considerations, which must be addressed for responsible adoption. While AI offers significant benefits in efficiency and user empowerment, the future of personal finance management will depend on advancing transparency, security, and inclusivity to ensure these systems are both effective and reliable.

Authors

Publication Details

Journal
Technix International Journal for Engineering Research
Published
2025-01-01
DOI
https://doi.org/10.56975/tijer.v12i7.159254
Primary Topic
Insurance, Mortality, Demography, Risk Management
Type
article
Field-Weighted Citation Impact
0.00
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article

AI Driven Personal Finance Management System A Survey

Shuaib Ahmed M., Mathew Joseph, Bharath S Bushan, S Hrithik et al.
1 links
Technix International Journal for Engineering Research
Insurance, Mortality, Demography, Risk Management
article

AI Driven Personal Finance Management System A Survey

Shuaib Ahmed M., Mathew Joseph, Bharath S Bushan, S Hrithik, Nandita Bangera
article en

Abstract

Artificial intelligence is significantly reshaping financial management, enabling new levels of automation, personalization, and predictive insight for both individuals and organizations. As digital financial services expand, AI-driven tools are increasingly used for budgeting, investment management, risk assessment, and tracking financial goals. This paper explores the convergence of AI and financial technology by reviewing recent research, core functionalities, and real-world implementations. The analysis identifies major challenges like data privacy, algorithmic bias, integration complexity, and ethical considerations, which must be addressed for responsible adoption. While AI offers significant benefits in efficiency and user empowerment, the future of personal finance management will depend on advancing transparency, security, and inclusivity to ensure these systems are both effective and reliable.

Technix International Journal for Engineering ResearchVol. 12(7)
Decent work and economic growth
Openalex Percentile: Top 66%
Insurance, Mortality, Demography, Risk Management
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