Kamesh Singh

SkyOps is designed to optimize airline operations by addressing key challenges in tail assignment, fuel efficiency, real-time decision-making, cost reduction, and passenger experience. One of the major problems it solves is the tail assignment problem, where aircraft (tails) must be allocated to flights while considering factors like maintenance schedules, crew availability, and delays. By leveraging AI-driven optimization, SkyOps ensures efficient aircraft utilization, reduces delays, and minimizes fuel consumption. Additionally, the project focuses on fuel and emission optimization by integrating AI-powered flight scheduling and routing. This reduces unnecessary fuel burn and helps airlines track CO₂ emissions for regulatory compliance, contributing to sustainability goals. Real-time data analytics, powered by Firebase, enable dynamic adaptation to disruptions such as weather changes or flight delays, ensuring seamless operations. From a financial and operational perspective, SkyOps helps airlines reduce costs by minimizing flight cancellations, optimizing aircraft allocation, and implementing predictive maintenance to prevent unnecessary grounding. Finally, by improving tail assignment and scheduling, the system enhances the passenger experience by reducing delays and ensuring better flight connectivity. By integrating AI, Django, and Firebase, SkyOps creates a smart, sustainable, and efficient airline management system that enhances both operational efficiency and environmental responsibility.