VISION WEALTH: An AI-Powered Personalized Financial Planning Tool

  • Unique Paper ID: 170481
  • PageNo: 1372-1374
  • Abstract:
  • In this paper, we explore VISION WEALTH, an AI-powered application developed to provide personalized financial planning. This project combines machine learning with user data analysis to enhance financial decision-making and achieve long-term stability. By leveraging advanced algorithms, VISION WEALTH aims to empower users with tailored financial strategies that reflect their unique goals and financial circumstances.

Copyright & License

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.

BibTeX

@article{170481,
        author = {Sahil Ramchandra Chavan and Shubham Sachin Bangal and Shubham Sanjay More and Sakshi Balasaheb Autade},
        title = {VISION WEALTH: An AI-Powered Personalized Financial Planning Tool},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {7},
        pages = {1372-1374},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=170481},
        abstract = {In this paper, we explore VISION WEALTH, an AI-powered application developed to provide personalized financial planning. This project combines machine learning with user data analysis to enhance financial decision-making and achieve long-term stability. By leveraging advanced algorithms, VISION WEALTH aims to empower users with tailored financial strategies that reflect their unique goals and financial circumstances.},
        keywords = {},
        month = {December},
        }

Cite This Article

Chavan, S. R., & Bangal, S. S., & More, S. S., & Autade, S. B. (2024). VISION WEALTH: An AI-Powered Personalized Financial Planning Tool. International Journal of Innovative Research in Technology (IJIRT), 11(7), 1372–1374.

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