AI Expense Manager
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Date
2025
Journal Title
Journal ISSN
Volume Title
Publisher
UMT, Lahore
Abstract
Efficient financial management is an essential part of personal and business operations. Conventional ways of expense tracking are plagued by inefficiencies, inaccuracies, and time waste. This thesis introduces an AI-based Expense Management Software based on Flask and Python that automatically and efficiently tracks finances with increased accuracy and speed. The system under development utilizes machine learning algorithms to categorize expenses intelligently, detect anomalies, and forecast. Utilizing AI-powered automation, the software reduces human error, minimizes intervention, and offers real-time financial information. Django, being an efficient and scalable web framework, forms the core of the system, allowing efficient processing of data and smooth user interaction. The application also integrates stringent security features to safeguard confidential financial information.