AI-Enhanced Financial Analytics Platform for Automated Expense Tracking and Insights

This research paper presents the design and development of a simple and user-friendly web-based Expense Tracking System that helps people monitor their daily spending. The main purpose of this study is to understand whether such a system with features like advanced filters, charts, data export, and an admin dashboard that can improve users’ financial awareness and overall experience. The system, built using Flask framework and modern web technologies, provides users with an intuitive interface for recording, categorizing, and analyzing their daily expenses. The application incorporates user authentication, role-based access control, data visualization, and administrative capabilities to offer a complete solution for financial tracking and management. This study explores the implementation of key features including expense CRUD operations, advanced multi-criteria filtering mechanisms, data export functionality, and visual analytics through interactive charts. Additionally, the system includes a unique administrative panel for system-wide monitoring and user management. The paper documents the system architecture, design decisions, implementation methodology, and presents empirical evaluation results through comprehensive user feedback analysis, comparative study with existing solutions, and performance metrics.