From Manual Logs to Smart Finance: Assessing User Readiness for Ai-Powered Personal Expense Tracking in Bangladesh

This paper looks into how ready people are to use technology in their daily lives, especially when it comes to track of expenditure. The app aims not only to log expenses but also to deliver personalized spending insights into spending habits and offer helpful budgeting tips. Our idea for the app is to make collecting expense data as automatic as possible, so users don't have to input everything manually. The app will connect with banking apps, read SMS receipts, and even track users' locations. It will be able to detect when they've traveled, made grocery purchases from local markets like kacha bazaars, or filled up at gas stations. The app will also let users take pictures of their receipts. To make the app even more user-friendly, we want to add an AI-powered voice chat feature that can process plain text. This will allow users to simply tell the app about their expenses without needing to manually enter everything. The main focus is on automating the data collection and making the system adapt to users' spending habits. The app will predict upcoming expenses with categorized entries for the day. As users correct the app, the model will learn and improve its predictions over time. To understand the demand for this kind of technology, we surveyed 133 people to find out the challenges they face when managing expenses and their willingness to use AI to help with expense tracking.