Designing of an AI system for predicting the successful recovery of SpaceX’s Falcon 9 launch vehicle

  Sandesh Yadav,  Yash Manmode,  Mansi Patil

This paper demonstrates the usage of various ML algorithms including neural network (AI) for the Falcon 9 Launch Vehicle’s first-stage Recovery Prediction System. We predicted the success of the Falcon 9 first-stage landing. On its website, SpaceX promotes Falcon 9 rocket launches for 62 million dollars; other suppliers charge upwards of 165 million dollars for each launch. A large portion of the savings is due to SpaceX's ability to reuse the first stage. So, if we can determine whether the first stage will land, we can determine how much a launch will cost. If a different business wants to compete with SpaceX for a rocket launch, it may use the information provided here. SpaceX's overarching objective is to make Falcon 9's first stage reusable by returning it to the landing zone following separation. The accuracy of Falcon 9 launch vehicle recovery is predicted using a variety of AI models, including Logistic Regression, SVM, Decision Tree, Random Forest, KNN, and ANN.

Keywords- Launch Recovery System, AI, SpaceX, Falcon 9

Unique Identification Number - IJEDR2301008
Page Number(s) - 61-66
Pubished in - Volume 11 | Issue 1 | January 2023
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Sandesh Yadav,  Yash Manmode,  Mansi Patil,   "Designing of an AI system for predicting the successful recovery of SpaceX’s Falcon 9 launch vehicle", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.11, Issue 1, pp.61-66, January 2023, Available at :http://www.ijedr.org/papers/IJEDR2301008.pdf