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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM54990

Wealth - AI-Powered Finance Management Platform

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM54990

Volume:

9 |

12 |

Dec 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM54990

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

KT

Kailash Tomar

RK

Ratan Kumar

C

Chingmak

VS

Vineet Singh

M

Mr.Arpit

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Abstract

Manual expense tracking is often inconsistent and labor-intensive, leading to poor financial management. There are automated solutions, but most of them use intrusive Notification Access permissions, which put users’ privacy and security at risk. This paper introduces Welth, an AI-powered personal finance management platform aimed at automating expense tracking while emphasising data sovereignty. The system replaces invasive monitoring with secure Gmail API integration (via OAuth 2.0), which filters and extracts transaction details strictly from digital invoices to ensure data persistence without accessing private communications. Concurrently, an Intelligent OCR engine creates a unified data pipeline by converting unstructured physical receipts into structured digital records. The platform is architected using Next.js and Tailwind CSS for a responsive user interface, with Supabase and Prisma ORM handling backend data synchronisation. Furthermore, the Google Gemini API is leveraged to provide contextual categorisation and generate personalised financial insights. Visualisation through Recharts and automated budget alerts empowers users to maintain financial discipline. This approach offers a secure, automated alternative to traditional tracking methods, significantly reducing manual effort without sacrificing digital privacy.

KEYWORDS

Personal Finance Automation Gmail Parsing OCR React Web Application Receipt OCR NLP Rule-based Extraction Gemini Expense Tracking Supabase.

Cite This Article

Kailash Tomar, Ratan Kumar, Chingmak, Vineet Singh, Mr.Arpit, "Wealth - AI-Powered Finance Management Platform," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 12, Dec 2025. https://doi.org/10.55041/IJSREM54990

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Publication Date

11/11/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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2

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5

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This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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