Smart Expense Tracker with OCR
Abstract
Effective personal finance management has become increasingly important in the modern digital environment. However, many existing expense tracking systems still depend on manual data entry, which can be time-consuming and prone to human errors. To overcome these challenges, this work proposes a Smart Expense Tracker that integrates Optical Character Recognition (OCR), voice input, and intelligent data analysis to automate the expense tracking process. The proposed system allows users to upload receipt images, from which the OCR module automatically extracts important information such as the transaction date, amount, and merchant details. In addition, voice commands provide an alternative method for quickly recording expenses without manual typing. The application presents financial insights through interactive visualizations including pie charts and trend graphs, enabling users to better understand their spending behaviour. Additional features such as budget alerts, data export in CSV or PDF format, and AI-based spending insights further enhance financial awareness and decision-making. By combining automation with intelligent analysis, the proposed system simplifies the process of managing personal expenses while improving accuracy and user convenience.
References
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