About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part I

Research Article

Adaptive Budgeting and Financial Planning with Generative AI Integration

Download10 downloads
Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.4108/eai.28-4-2025.2357766,
        author={Shobana  M and Barath Balaji  V and Dison Joseph  B and Divith  D and Jayasima  K},
        title={Adaptive Budgeting and Financial Planning with Generative AI Integration},
        proceedings={Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part I},
        publisher={EAI},
        proceedings_a={ICITSM PART I},
        year={2025},
        month={10},
        keywords={rnn upi gen ai ai\&ml},
        doi={10.4108/eai.28-4-2025.2357766}
    }
    
  • Shobana M
    Barath Balaji V
    Dison Joseph B
    Divith D
    Jayasima K
    Year: 2025
    Adaptive Budgeting and Financial Planning with Generative AI Integration
    ICITSM PART I
    EAI
    DOI: 10.4108/eai.28-4-2025.2357766
Shobana M1,*, Barath Balaji V1, Dison Joseph B1, Divith D1, Jayasima K1
  • 1: SNS College of Technology, India
*Contact email: shobivsm.m.cse@snsct.org

Abstract

This study presents a financial advisory system based on Generative AI, aimed at enhancing personal financial planning and management. It leverages advanced AI techniques, such as deep learning, Recurrent Neural Networks (RNNs), and Transformer networks, to analyze user spending patterns and provide personalized budget and savings recommendations. Once you can connect with payment platforms such as UPI, the app enables real-time spend tracking and dynamic budgeting, helping users to keep a tab on their financial goals. Based on user feedback, automatic recommendation reinforcement and adjustment can be carried out in real time by machine learning algorithms, making the accuracy or personalization of recommendations improve over time. The app features Generative AI to forecast financial trends, machine learning to learn spending habits, and Data processing program to process financial data fast. Hereby people can become accustomed to truth based precise financial advice in a very personalized manner. Using intuitive interfaces, easy to understand visualizations, and real time data fed from your financial accounts like bank balances or credit card balances, the app makes the complex simple, and budgeting and saving easy.

Keywords
rnn, upi, gen ai, ai&ml
Published
2025-10-13
Publisher
EAI
http://dx.doi.org/10.4108/eai.28-4-2025.2357766
Copyright © 2025–2025 EAI
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL