Outlay

Abstract

The proposed project, Outlay, is a mobile application that combines expense management with artificial intelligence to provide users with an intelligent financial and lifestyle assistant. The importance of this project lies in addressing a common real-world problem: many individuals struggle to track their daily expenses, maintain a healthy spending balance, and avoid overspending on unnecessary or unhealthy items. Outlay seeks to provide a modern, AI-driven solution that enhances financial awareness, promotes healthier spending habits, and supports long-term savings goals. The project covers several important aspects including: expense tracking (manual and AI-based), monthly budget management, automated reporting with visual charts, lifestyle and health-related expense analysis, and personalized notifications. The main objectives are to help users manage their income and expenses more effectively, encourage responsible financial behavior, and integrate health awareness into daily financial decisions. The methodology involves developing a cross-platform mobile application using Flutter for the frontend, Node.js for the backend, and MySQL for data storage. AI models such as Google ML Kit )ocr)will be integrated for image recognition and spending pattern analysis. Although there are existing expense management applications (e.g., Mint, PocketGuard), Outlay is unique because it incorporates AI-based image recognition for expense entry and lifestyle health tracking, offering a smarter and more comprehensive solution compared to existing systems.