DESIGN AND IMPLEMENTATION OF A FINANCE TRACKING WEB APPLICATION WITH AN AI ADVISORY SYSTEM
Abstract
ABSTRACT
Effective financial management is essential for maintaining stability and making informed economic decisions, yet traditional tracking methods are often time-consuming, error-prone, and lack intelligent insights. This project presents the implementation of a web-based finance tracking application integrated with an AI-powered advisory system to enhance budgeting, expense monitoring, and financial decision-making. The system is built using modern technologies, including JavaScript, Node.js, Tailwind CSS, PostgreSQL, and Drizzle ORM, ensuring a seamless user experience, efficient performance, and secure data handling. Key features include real-time transaction tracking, automated budget planning, interactive financial reports, and AI-driven recommendations tailored to users’ spending patterns. Security measures such as encryption and authentication are incorporated to protect sensitive financial data. Despite its effectiveness, limitations such as the need for manual data entry and AI refinement remain. Future improvements may include integrating real-time banking APIs for automated financial data input, enhancing predictive analytics, and expanding mobile accessibility. This project demonstrates the potential of AI-powered financial tools in empowering users with greater financial control and smarter decision-making.
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