• Sathya Sree S
• Manoj Praphakar T
• Tharshini P
• Subeshamoorthy S
• Sanjay Rohan A

This project presents a comprehensive system designed for flight delay prediction and flight tracking with the aim of enhancing decision-making and improving travel reliability in the aviation sector. By leveraging historical flight and weather data, the system utilizes machine learning algorithms to predict potential delays before flight departure. It considers multiple factors including scheduled flight times, airline performance history, origin-destination pairs, and meteorological conditions to generate accurate and timely delay forecasts. In addition to delay prediction, the system includes a flight tracking module that monitors the status of flights based on scheduled and recorded data, providing users with essential information such as departure status, estimated arrival, and route history. The combined approach of prediction and tracking allows users to gain insights into both upcoming and past flight performances. The platform is developed with automation in mind, ensuring efficient data processing, model execution, and output delivery with minimal manual effort. This project demonstrates the effective integration of data science techniques in aviation analytics, offering a proactive tool for improving operational planning, passenger experience, and overall airline efficiency. The system is scalable and adaptable, making it suitable for further development or deployment across various aviation networks.

Flight Delay Prediction, Flight Tracking, Machine Learning, Aviation Analytics, Historical Flight Data, Delay Forecasting, Airline Operations, Data-Driven Decision Making, Predictive Modeling, Flight Status Monitoring, Air Travel Efficiency

"A Data-Driven Approach for Predicting Flight Delays and Tracking Performance", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 5, page no.c311-c317, May-2025, Available :http://www.jetir.org/papers/JETIR2505238.pdf

"A Data-Driven Approach for Predicting Flight Delays and Tracking Performance", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 5, page no. ppc311-c317, May-2025, Available at : http://www.jetir.org/papers/JETIR2505238.pdf