Artificial intelligence
(Computer vision)
ageing Whitetails
Understanding whitetail deer physiology is an area of interest for conservationists and hunters alike. However, image-based deer ageing techniques can be tricky. A CNN is used to predict deer age, demonstrating ~80% test accuracy.
(Decision trees)
HYperlocal fog prediction
Localized fog is a problem for terrestrial sensor networks. This project predicts hyper-localized fog presence based on past and present weather conditions. Comparing different ML prediction models, an 93% accuracy is obtained.
(Random forest)
Airline delays
Flight delays are a nuisance for travelers worldwide. Based on 2015 data, this project examines data across six main airlines, characterizing airline delay frequency and predicting delay types for each airline.
IC Component logo identification
Circuit board components form a significant portion of the electronics industry. Based on hand-labeled data, this project uses computer vision to locate and identify component-specific logos with ~80% test accuracy.