FLIGHTVISION PRO: A Dashboard-Driven System for Flight Delay Prediction and Dynamic Fare Optimization with Real-Time Visualization

Abstract

Airline operations are highly sensitive to disruptions caused by weather conditions, air traffic congestion, and operational constraints. Most existing systems monitor these factors but respond only after delays occur, resulting in inefficient decision-making. To address this issue, a system is developed that focuses on predictive analysis, visualization, and integrated control through an interactive dashboard environment. The proposed system combines ensemble-based delay prediction with dynamic fare adjustment and real-time visualization in a unified platform. It processes multi-source aviation data, generates delay predictions, and presents insights through a user-friendly dashboard. The system also includes control modules for model training, prediction execution, and operational monitoring, allowing users to interact directly with the analytics pipeline. A key feature of the system is its dashboard-driven design, which provides live system metrics, delay breakdown analysis, and real-time alerts. Users can monitor flight activity, analyze delay patterns, and make informed decisions using a centralized interface. The system also supports offline functionality using local storage, ensuring continuous operation even when connectivity is limited. Through the integration of predictive modeling, control mechanisms, and visual analytics, the system demonstrates a practical approach to improving airline decision-making. It highlights the importance of combining system design and implementation with user interaction to create an effective decision-support platform.