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Budget Mate-A Smart Expense Tracker

Author : Thilak Patel, Bharath, Abhiram, Vamshi Journa Name: International Journal of Scientific Research & Engineering Trends Volume: 12 issue: 2 Year: Volume-12-issue-2 Views : 23
Abstract:
Budget Mate is an online expense tracker that offers smart finance management using machine learning. Users can input or extract expense and classify it by categories such as utilities, groceries, housing, entertainment, and subscription services. The machine learning based classification requires little manual input, while increasing the fidelity of managing and tracking finance. Users can track monthly expenses, analyze spending patterns, and reflect on their financial behaviors through interactive data visualization on a user dashboard. Furthermore, Budget Mate provides users with insight into a potential money management source that is smarter than tracking money—it provides solid budget plans, and savings recommendations based on any user behavior, which could encapsulate historical expense data, conversation note, and even some higher level personal finance inquires, potentially expanding to a method of money management beyond expense tracking and giving a proactive form of money management. Using a unified simplified interface, the service can scale beyond simple expense, and can seriously accommodate divergent scenarios.

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