Integrating Expense Tracking with AI-Driven Investment Recommendations
Dr. Shanthi S 1, Praveen Giridhar Pawaskar 2, Abdul Aman Khan 3, Rehan Ashraf 4, and Mihir Suman P 5
1Associate Professor, Presidency University, Bangalore
2 Assistant Professor, Presidency University, Bangalore
345Department of CSE, Presidency University, Bangalore
Abstract— The Expense Tracker is a comprehensive financial management application developed using the MERN stack—MongoDB, Express.js, React, and Node.js—to simplify expense tracking, budgeting, and investment decision-making. The application features a secure backend powered by Node.js and Express.js, utilizing RESTful APIs for efficient data handling, while MongoDB ensures flexible and scalable data storage. The React-based front end provides a responsive and intuitive interface, enabling users to seamlessly input, categorize, and visualize their expenses. Core functionalities include user authentication for secure and personalized access, secure expense logging to maintain accurate financial records, category management and budget tracking for effective financial organization, and interactive charts offering real-time insights into spending patterns.
A key innovation of the application is the PennyDrop feature, which leverages user income and expense data to provide personalized investment suggestions. Using data-driven algorithms, PennyDrop empowers users to make informed financial decisions by aligning their income with tailored investment opportunities. This integration of expense tracking with actionable investment insights creates a holistic platform for financial management. The application is designed to be scalable, maintainable, and user-friendly, making it an ideal solution for individuals and businesses seeking an efficient tool for managing their finances and optimizing their investments.
Index Terms— Budget Tracking, Category Management, Data-Driven Investment Insights, Expense Categorization, Expense Input, Expense Logging, Financial Management Application, Income-Based Investment Suggestions, Interactive Charts, MERN, PennyDrop Feature, Personalized Financial Solutions, Real-Time Financial Insights, RESTful APIs, Scalable Data Storage.
