Fin-Vest: Personal Finance Management

International Journal of Advanced Computer Science and Applications, 2021

Financial planning plays an important role in people's lives. The recent COVID-19 outbreak has caused sudden unemployment for many people across the globe, leaving them with a financial crisis. Recent surveys indicate that financial matters continue as the leading cause of stress for employees. Further, many millennials overspend and make unfortunate financial decisions due to their incapability to manage their earnings, which forbids them from maintaining financial satisfaction. Financial well-being as defined by The American Consumer Financial Protection Bureau (CFPB) is a state where one fully meets current and ongoing financial obligations, feels secure in their financial future, and is able to make choices to enjoy life. This work proposes a Personal Finance Management (PFM) system with a new architecture that aims to guide users to reach the state of financial well-being, as defined by CFPB. The proposed system consists of a rule-based system that provides users with actionable advice to make informed spending decisions and achieve their financial goals.

International Journal of Recent Technology and Engineering, 2020

The need for skilled financial advisors is more than ever in the current scenario when there are in-numerous moneymaking strategies and at the same time, the global economy might be on the verge of collapse. Also there is a pure lack of good financial advisors and even if you find one, you will end up paying a hefty amount. The current proposed application fulfils the above-stated demand in a cost-effective and reliable way. The proposed system automates the job of a financial advisor using Artificial Intelligence. It provides the user with a simple and easy to use interface where every individual will have their own account handled by Google’s firebase platform. The application uses 'Plaid' API which allows app to send a request to the corresponding bank server and fetch the account details of an individual. Logged in user is shown a very comprehensive representation of their account details which also includes category-wise expenditure, their investment, and the savings. O...

Online personal finance management system play important roles in managing finance at the personal level and of everyday use. There are different finance management systems on the world-wide web either in the form of open source or proprietary systems. But most of the systems are having specific context of usage and based on specific rules. In this work, we present reliable software architecture and corresponding system architecture of a system for personal financial planning on the web. Using through investigation and analysis, the application architecture is designed which is related to the business requirements, and the system architecture is related to information technology. The architecture is implemented using an open source web technology which uses an analysis model from the context of an industry model. The implemented system was tested and validated through feedback.

International Journal of Nature and Science Advance Research , 2025

Expense Analyzer is a mobile-based financial management system designed to help individuals and institutions monitor, categorize, and analyze their expenses efficiently. Financial mismanagement is a challenge faced by many due to the lack of real-time expense tracking tools. We adopted a structured software engineering methodology (SSADM) and implemented the system using React Native, Firebase, and Firestore to support Android and iOS platforms. The system allows users to log transactions, generate reports, receive budget alerts, and visualize spending patterns. Expense Analyzer simplifies personal and institutional budgeting, enabling better financial decisions, accountability, and organization.

2016

Many SMMEs fail within their first year of operation in South Africa mainly because of the lack of proper financial management skills. A number of attempts have been made by way of software applications; however, these attempts fail. This paper intends to design and implement a system that addresses some of the financial management challenges faced by SMMEs. To achieve this, features of similar systems were studies intensively through related work then incorporated into our system design and then implemented. The main objectives of the new system, was to make it possible for SMME owners to have access to their financial information anywhere, have access to real time data, reduce the amount of time needed to enter data in the system and a system that is easy to use. Usability testing was done and the result was a system that was 20% better in keeping records compared to the user’s manual accounting system.

International Conference on Research in Education and Science (ICRES) , 2023

This paper presents a mobile application aimed at enhancing the financial literacy of college students by monitoring their spending patterns and promoting better decision-making. The application is developed using the agile methodology with Android Studio and Flutter as development tools and Firebase as a database. The app is divided into sub-applications, with the home page serving as the program's integration point, displaying a summary of the user's financial progress. The app generates valuable insights into the user's current and future financial success, utilizing data analytics and machine learning to provide detailed and summary insights into the user's financial progress. The machine-learning algorithm used in this app is linear regression, which predicts the user's income and expenses for the upcoming month based on their historical spending data. In addition, the app highlights deals and student discounts in the user's vicinity and links to financial articles that promote better financial planning and decision-making. By promoting responsible spending habits and providing valuable financial insights, this mobile application aims to help students become financially literate and make informed financial decisions for future. [For the full proceedings, see ED654100.]

2020

The rapid development of information and communication technology is directly proportional to the community's need for fast and accurate information, especially the development of technology on mobile phones (cellphones) that present smartphones with various sophisticated features. Smartphones are becoming a necessity for society today not only as a communication device, but also as a source of information. In general, the community carries out daily financial management in the traditional way by taking notes using a writing instrument, where the paper media as its documentation and the help of a calculating tool is a calculator to calculate financial income and expenditure. Constraints that occur are that the public needs stationery to do every recording of transactions that are carried out every day. So it requires quite a lot of money, the time required will take a long time to record financial transactions that are carried out every day by the process of writing on paper med...

International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2025

The growing financial complexity causes people to lose control over their financial expenses and savings goals together with their long-term planning requirements. Most personal finance management tools available today do not deliver forecasting statistics which match specific financial behavior patterns of their users. This paper unveils WealthGuardian which represents a smart expense management system which uses machine learning (ML) methodology to predict forthcoming expenses while improving budgetary restrictions and producing custom insurance policy suggestions. Support Vector Machines (SVM) and Random Forest operate together as robust ML algorithms to examine historical spending patterns and income behavior of users through the proposed system. Through model training these systems generate real-time expense forecasts which provide users an advanced financial perspective insight. The system merges data from external banks through APIs together with insurance plan databases to implement automated secure data transmissions which yield timely useful insights.

2021

The purpose of the article: the aim of the article is to present the essence of personal finance management using modern financial technologies. The paper seeks to answer the question of the impact financial literacy and the growth of the fintech solutions have on personal financial

Advanced IT Tools, 1996

Systems for financial planning exist. Many of these systems are, however, complex, expensive and designed for use by specialists. In the project described in this paper the aim was to investigate whether a knowledge-based system could be developed for "everyday" use by people engaged in financial planning. A system was developed, entitled the Retirement and Pension system (RAP), to deal with investment planning for people who could be eligible for an Age Pension. The system deals with simplified situations and generic investments. Trials with 91 members of the general public indicated that the system was regarded favourably and could be used successfully in problem solving. Investigation of problem solving behaviour with the system showed different patterns of behaviour-a considerable amount of "what-if' analysis, and some use ofthe explanation facility and help functions.