The Automated Predictive Expense And Budget Control System is a mobile financial monitoring application designed to convert ordinary bank SMS alerts into a continuous budgeting engine. Instead of depending on manual entry, the system captures incoming transaction messages, parses debit and credit information, stores the results locally, and recalculates a dynamic daily budget after every financial event. The application addresses the common problem of financial blindness created by fast digital payments such as UPI transactions, where users lose situational awareness of their liquid cash because spending happens in small but frequent bursts. By introducing an Autonomous Financial Intelligence model, the application reserves a savings vault, tracks active liquidity, and enforces self-correcting spending discipline through real-time recalibration. The implementation uses Flutter for the user interface, Provider for state management, the Android telephony listener for SMS access, Regular Expressions for deterministic text parsing, SharedPreferences for local persistence, and chart-based analytics for transaction analysis. The system produces a live dashboard, categorized history, monthly analysis graph, and a recalculated daily budget limit that adapts to the user's remaining funds and remaining time window. The project demonstrates that disciplined savings behavior can be embedded directly into the software workflow, thereby reducing friction, improving awareness, protecting savings, and transforming the smartphone into a passive but reliable financial observer.