Considering that the Federal Aviation Administration's (FAA) existing license renewal guidelines were established in the early 1900s and no longer reflect current realities. There is a need for a more contemporary approach to qualifying pilots.
This project employed cutting-edge Machine Learning and Deep Learning algorithms, including SVM, Random Forest, and Neural Networks, to develop a dynamic framework for assessing pilots' qualification using Python and prominent ML libraries such as scikit-learn, TensorFlow, and PyTorch.
See Final_Report.pdf for full details.