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Project of the Virtual Airline of Ecuador. Website created so that virtual pilots can simulate real air operations in a virtual way, that integrates third-party services to provide users with a training and simulation system, offering reservation, tracking, telemetry and statistics tools. PHPVMS is used.
Tool for tracking and monitoring airline flight prices and sending alerts when prices fall below a set threshold. Flight data from SkyScanner API, written using NodeJS.
Handles aircraft registration with regulatory authorities, tracks aircraft details, schedules maintenance and inspections, monitors compliance with regulations, manages lease agreements, and provides reporting and analytics. The system ensures proper documentation, maintenance, and regulatory compliance for safe and efficient airline operations.
This repository contains the code and resources for a flight booking predictive model. The model is trained on customer booking data and is designed to predict the likelihood of a customer making a booking. The model is evaluated on its accuracy and f1 score. The findings are summarized in a presentation slide for management