Is this project an undergraduate, graduate, or faculty project?

Undergraduate

Project Type

group

Campus

Daytona Beach

Authors' Class Standing

Emily Diegel, Junior/Senior Isabelle Hoare, Senior Trent Bazemore, Sophomore Samantha Craig, Senior John Scheer, Senior

Lead Presenter's Name

Emily Diegel

Lead Presenter's College

DB College of Arts and Sciences

Faculty Mentor Name

Mihhail Berezovski

Abstract

Machine learning algorithms' capacity to improve over time is one of their main advantages. When more and more data is handled, machine learning technology often becomes more effective and accurate. Machine learning can be used to address problems in industry. OneSky Flight is an aviation company under an umbrella of companies offering technology services for other private jet companies. One problem they face as a business is predicting when a flight will need a fuel stop upon a booking request. Given a data set of approximately 230,000 flights from OneSky, dating back to 2019, a prediction model will be made in order to achieve the overall objective of the project: a fuel stop predictor. Therefore, the customer is aware and can upgrade the aircraft or plan for the necessary fuel stop, saving the customer money and time.

Did this research project receive funding support (Spark, SURF, Research Abroad, Student Internal Grants, Collaborative, Climbing, or Ignite Grants) from the Office of Undergraduate Research?

No

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Developing Predictive Algorithm for Possible Fuel Stops for Private Aviation

Machine learning algorithms' capacity to improve over time is one of their main advantages. When more and more data is handled, machine learning technology often becomes more effective and accurate. Machine learning can be used to address problems in industry. OneSky Flight is an aviation company under an umbrella of companies offering technology services for other private jet companies. One problem they face as a business is predicting when a flight will need a fuel stop upon a booking request. Given a data set of approximately 230,000 flights from OneSky, dating back to 2019, a prediction model will be made in order to achieve the overall objective of the project: a fuel stop predictor. Therefore, the customer is aware and can upgrade the aircraft or plan for the necessary fuel stop, saving the customer money and time.

 

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