Student Budget Planner: A Web-Based Financial Management System Using Machine Learning

Authors: Dr Raj Kumar, Manvi Talwar, Chhavi, Misbah Rani, Aastha Kashyap

Abstract: Financial management is an essential aspect of student life, yet many students face difficulties in tracking expenses, maintaining budgets, and planning future spending. This research presents the development of a Student Budget Planner, a web-based financial management application designed to assist students in managing their income and expenses effectively. The system is developed using Python and integrates Streamlit for the user interface, SQLite for database management, Pandas and NumPy for data processing, Matplotlib for visualization, and Scikit-learn for machine learning-based expense prediction. The application enables users to record transactions, categorize expenses, analyze spending patterns through graphical representations, and forecast future expenses using a Linear Regression model. The proposed system offers a simple, interactive, and intelligent solution for personal financial management while providing practical exposure to software development, data analytics, and machine learning concepts. The results demonstrate that the application successfully improves financial awareness and budgeting efficiency among students.