MRI
MRI India Journals Vol. 15 No. 1 (2026)

A Result Paper on Next-Gen Financial Planning System

Authors

  • P. S. Takawale Department of Computer Engineering, S.B.Patil.College of Engineering, Indapur, Dist-Pune, India
  • Swapnil Vagare Department of Computer Engineering, S.B.Patil.College of Engineering, Indapur, Dist-Pune, India
  • Keshav Magar Department of Computer Engineering, S.B.Patil.College of Engineering, Indapur, Dist-Pune, India
  • Prajaketi Misale Department of Computer Engineering, S.B.Patil.College of Engineering, Indapur, Dist-Pune, India
  • Jaya Mane Department of Computer Engineering, S.B.Patil.College of Engineering, Indapur, Dist-Pune, India

Keywords:

Financial Technology (FinTech) Predictive Analytics Personal Finance Management Full-Stack Web Application Data Visualization Budget Forecasting AI-Driven Insights Secure Finance Dashboard Expense Tracking Goal-Oriented Financial Planning P. S. Takawale

Abstract

This study introduces a Next-Generation Financial Planning System that leverages modern web technologies, predictive analytics, and AI-based recommendations to simplify personal financial management [4][5].The platform offers automated tracking of income and expenditures, adaptive budgeting, and forward-looking financial forecasting supported by real-time visual insights[10]. Unlike existing solutions that are limited in scope or fragmented in design, the proposed framework integrates diverse financial data sources into a single, secure, and intelligent dashboard. By combining scalability, security, and personalized guidance, the system is intended to strengthen financial awareness, promote better savings strategies, and assist users in achieving long-term financial goals.

 

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Published

2026-06-06

How to Cite

Takawale, P. S., Vagare, S., Magar, K., Misale, P., & Mane, J. (2026). A Result Paper on Next-Gen Financial Planning System. International Journal of Electrical, Electronics and Computer Systems, 15(1), 157–167. Retrieved from https://journals.mriindia.com/index.php/ijeecs/article/view/3419

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