Authors: Darshita Singh, Shreya Saini, Tanish Rashm, Anshu Rai, Punit Kumar
Abstract: This paper outlines the design and implementation of a Personal Finance Management System (PFMS) aimed at helping individuals manage their personal finances effectively. In this digital revolution era, sound financial planning and investment performance are crucial for individuals wanting to achieve long-term financial stability. Therefore, this study presents the design and implementation of an innovative Personal Finance Management and Investment System that allows users to track their incomes, expenditures, and individual investment portfolios and receive intelligent, data-driven personal finance recommendations. The System includes a modern web-based platform utilizing React.js for a complete user-experience interface, Node.js and Express.js for a robust backend service platform, and MongoDB for highly flexible data storage. The application uses machine learning capabilities, powered by Python algorithms to analyze user financial-related activities to propose heretofore unimaginable efficiency in budgeting and a variety of investment options. Finally, to give users value add insights, portfolios can include transaction monitoring, creating financial objectives, tax implications, and investment optimization through graphical dashboards. The proposed solution aims to increase financial literacy; develop saving behaviours with discipline; and a well-informed investment decision set; particularly for young earners, and those at post-secondary institutions.Along with providing instant feedback on financial activity, the system prioritizes usability, with a simple, easy-to-use interface that reduces the complexity normally present in financial programs. Through functionality, accessibility, and data-based insights, the PFMS will be an overall and useful tool for personal financial planning and management.
