AI Expense Tracker

The rapid advancement of Artificial Intelligence (AI) has paved the way for intelligent financial management tools, including AI-powered expense trackers. This paper presents the development and evaluation of an AI-based expense tracking system designed to automate and optimize personal and small business financial management. Leveraging machine learning algorithms, natural language processing, and real-time data analytics, the system categorizes expenses, detects anomalies, predicts future spending, and provides actionable insights to users. The research explores the integration of AI with user interfaces to enhance usability and engagement, while also addressing challenges such as data privacy, model interpretability, and integration with existing financial ecosystems. Empirical results from user testing and system performance evaluations demonstrate the system's accuracy and efficiency compared to traditional expense tracking methods. The study concludes with recommendations for future enhancements and the broader implications of AI in personal finance management