• Dr Dhaval Vyas

A flight delay is an unforeseen occurrence that may occur in the aviation industry specifically and the transportation industry in general. The ability of an airline to anticipate the potential of a flight delay or cancellation is critical for both the proactive scheduling of flights by the airline and the enhancement of the company's reputation among its customers. A real-time flight delay prediction system has been implemented, and this paper describes its findings. The whole system is created utilizing big data technologies to guarantee that it is both practical and scalable. The flight data is sent over Apache Kafka to trained machine learning models that are integrated inside Apache Spark to provide real-time prediction results.

Machine Learning, Flight, Delay, Prediction

"Forecast of Interruption in Trips consuming Machine Education Techniques: A Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.272-275, July-2018, Available :http://www.jetir.org/papers/JETIR1807A40.pdf

"Forecast of Interruption in Trips consuming Machine Education Techniques: A Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp272-275, July-2018, Available at : http://www.jetir.org/papers/JETIR1807A40.pdf