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Paper ID:IJSREM67107

Intelligent Wealth Monitoring for Economic Development

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM67107

Volume:

10 |

9 |

Sep 2026

Pages:

1-9

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM67107

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

KGP

K Gnana Prasuna

Department of Computer Science & Engineering

G Narayanamma Institute of Technology & Science(for Women)

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KSR

K. Sneha Reddy

Department of Computer Science & Engineering

G Narayanamma Institute of Technology & Science(for Women)

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PS

P. Sanjana

Department of Computer Science & Engineering

G Narayanamma Institute of Technology & Science(for Women)

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KK

K. Keerthi

Department of Computer Science & Engineering

G Narayanamma Institute of Technology & Science(for Women)

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Abstract

The AI-Finance Platform is a web application that is built out completely stack mode, which enables one to manage personal finances in a streamlined manner is refined through the help of intelligent automation and comfortable interface. It was developed on Next.js as a performance platform, Tailwind CSS as a responsive design platform, and Shadcn UI as interfaces that are uniform. It is built since Prisma ORM and PostgreSQL support the efficient processing of data, Supabase to save authentication and dynamic updates. Inngest is used to simple routine work makes use of automatize, Arcjet will be mounted to lock the system and remind users about emails. One of its main characteristics is that the platform has put in place the Gemini AI which interprets the receipts which are provided by the users, classifies the transactions, and learns off of spending behavior. This will enable it to create tailored intelligence, predict the cost, and create intelligent recommendations to ensure that the budget is streamlined. Users can open multiple accounts, see all the transactions in the same roof, make savings targets and monitor their money easily. The AI chatbot would also play a part in pointing out to the experience, how planned purchasing may be within the financial limit and educate the populace with time is based on their expenditure of money. The other model that can be the fraud detection model is the model which is applied on the platform scans the transaction data in order to report suspicious activity and notify the victims of the opportunities to become a victim of a fraudulent payment. It will use AI to convert raw financial data into actionable data, scarce and user-centered design and enable users to make informed financial decisions.

KEYWORDS

Prisma ORM and PostgreSQL

Cite This Article

K Gnana Prasuna, K. Sneha Reddy, P. Sanjana, K. Keerthi, "Intelligent Wealth Monitoring for Economic Development," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 9, pp. 1-9, Sep 2026. https://doi.org/10.55041/IJSREM67107

Full Article/Conclusion

The AI Finance Platform is an example of a full-fledged personal financial management system developed with the latest web technologies, including Next.js, React, Prisma, and Tailwind CSS. It helps users to control their accounts, monitor transactions, and see their spending in a user-friendly and interactive dashboard. Financial planning becomes smooth and efficient with automation of receipt processing, budget alert, and designed background jobs with the help of Inngest. Real-time expense summaries are shown to the user in visually appealing charts constructed using React and shadcn UI. OCR integration also makes the entry of data much easier since receipts can be scanned so that users are motivated to automate and be more accurate in the process of records of transactions. The platform uses machine learning algorithms to optimize financial insights and prediction. Expense categorization involves the use of Logistic Regression, whereas the ARIMA and Prophet models predict the spending trends in future, allowing the user to predict the budgeting planning process better. The classification accuracy is enhanced with the help of TF-IDF feature preprocessing, which makes it possible to interpret the description of a transaction better. Sentiment-aware analysis and predictive control models overcome the shortcomings of a conventional forecasting approach because they enhance long-term forecasting and reveal complicated financial structures. These are smart models that enable the system to provide real forecasts, actionable insights and informed recommendations to facilitate smarter financial decision-making. The main strengths of the platform include security, scalability and future upgrades. There is secure authentication and user management with the help of clerk and rate limiting and endpoint protection mechanisms enhance the stability of the system and prevent its misuse. The use of deployment on Vercel provides stable and scalable frontend and backend services. In the future, they will be realized as dynamic categorization of expenses, multilingual receipt analysis with multi-item and multi-lingual support, multi-account integration via bank API, and improved security through encryption and multi-factor authentication. As these improvements are made, the platform can become a complete AI-based assistant. Altogether, AI Finance Platform is a smart, automated, and convenient tool to use in managing personal finances. Using a mix of data processing, machine learning algorithms, and recent technologies of the web, it provides precise insights, effective budgeting and in-real-time financial visibility. The platform does not only ease the daily costs tracking but also allows users to make proactive financial choices due to the forecasting and customized notification. As a digital financial assistant, the system can expand and become a complete section of a full-fledged digital financial assistant assisting people with varying financial conditions to their long-term financial health, stability, and informed money management with the proposed developmental enhancements which include deep learning predictions, advanced OCR functions, and secure real-life financial integrations.

References

[1]   Arcjet Labs, Securing the Web Application with the API of rate limiting and security Arcjet Publications, 2024. [2]    Berners Lee, T., World Wide Web: Past, Present and Future of Web Frameworks, World Wide Web Consortium (W3C), 2016. [3]    Authentication and User Management of Modern Web Clerk Inc. 2024, Clerk Technical Documentation, Applications. [4]   Gemini AI Model: Overview and Applications in Google DeepMind. Financial Intelligence DeepMind Research Publications, 2024. [5]   OpenAI, Artificial Intelligence-based Financial Insights. Forecasting OpenAI Research Blog, 2024. [6]   Prisma Team Prisma ORM Database Scalability Prisma Technologies, 2022. [7]        Technologies of Automated Email Delivery and Notification Resend. Resend, 2024, Developers documentation, services. Supabase, Inc., [8]     Open Source Firebase Alternative Authentication and Realtime Data, Supabase developer journal, vol. 5, no. 1, pp. 10-18, 2023. [9]     Vercel Inc., Next.js: React Framework of Production, IEEE Software Engineering Review, vol.14, issue 2, pp.33- 40, 2023. [10]         Amazon Web Services (AWS), Cloud-Based Application Deployment and Scalability, AWS Whitepapers,  2023.

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Publication Date

9/4/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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

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