Personal finance management system using a four-stage data pipeline: ingestion, storage, processing, and serving. Users interact with transaction management and budget tracking modules, which feed authenticated data into separate transaction, budget, and user databases. Financial analysis and AI-powered recommendations process aggregated data to generate reports, charts, and personalized financial insights delivered back to users. This architecture demonstrates how to separate data collection, storage, and analytics concerns while maintaining user authentication and data isolation. Fork this diagram to customize database schemas, add real-time processing, or integrate additional fintech services.