Bhanu Choudhrie’s Thoughts on Machine Learning Algorithms and Artificial Intelligence in Aviation

Bhanu Choudhrie is interested in making pilot training more efficient by investing in data technology. At his company, Alpha Aviation Group, he concentrates on artificial intelligence and machine learning algorithms. Now airlines use these technologies for remote airplane monitoring, checking in baggage, and facial recognition for passport security in airports.

While these developments are significant, he believes they are best used with flight simulators. During cadet training programs, pilot patterns can be detected through artificial intelligence and machine learning algorithms.

According to Bhanu Choudhrie, Alpha Aviation Group can use this data from day one training to measure pilot performance. These technologies can spot many small details that humans are likely to miss during thousands of flight simulation hours.

Aircraft acceleration and descent angle of the aircraft are two examples of crucial data this system can analyze. Both the instructor and the cadet get detailed reports about the cadet’s flying abilities. These benefits continue long after pilot training is over, according to Bhanu Choudhrie. Once they’re fully certified pilots, they can use this information to choose which flight path to take.

Another critical part of flying is fuel use. Cadets must learn the impact of their take-off and ascent throttle settings on fuel levels. Bhanu Choudhrie thinks that cadets can use information gained through artificial intelligence and machine learning algorithms to improve their fuel efficiency during future flights.

Artificial intelligence is currently used to report altitude, flight distance, and aircraft weight. Bhanu Choudhrie believes that fuel efficiency can be improved even more by using flight simulation data. Bhanu Choudhrie’s: Twitter.