Intelligent Flight Delay Forecaster

A real-time AI model that forecasts airport delay patterns using historical flight data, weather feeds, and operational telemetry. It integrates with airport dashboards to support scheduling, rerouting, and terminal resource optimization. Built using Delta Live Tables, Databricks ML runtime, and aviation-specific datasets.

Key Features:

• Real-time delay prediction using machine learning

• Data ingestion from ADS-B, FAA, weather, and airline sources

• Custom dashboards for gate planning and delay impact

• Built with Microsoft Fabric and Databricks

• Scalable for multi-airport analytics