This list represents a sampling of projects that I have been proud to contribute to in both my professional and academic career.
Climate Change
Climate change research in the Boston University AIEM Group. We are working to classify images based upon communications categories and how they relate to climate change. This project is in progress We are currently pursuing a multimodal machine learning pipeline to utilize both the image as well as scene captioning techniques this way, we can classify by image as well as NLP features.
Python, Neural Networks, Deep Learning, Scene Understanding, BERT, NLP, Keras, Numpy, Scikit-Learn, Tensorflow, Pillow, VGGnet
ESRI ArcGIS Mission responder
ArcGIS Mission Responder is the mobile app that allows users in the field to participate in active missions. It relies on ArcGIS Mission Manager to create and activate missions, but Responder is its own separate application, with unique capabilities and uses. Developed architecture for android based store and forward messaging.
Human Pose Estimator
Estimate how well an exercise if being performed by using machine learning techniques on video data.
Python, LTSM, Keras, Numpy, Pytorch
https://github.com/goutern/PoseEstimation
Legionarius
A performance garments in high-risk and combat environments, with specific expertise in providing emergency signaling, remote triage, and autonomous treatment in the event that a human is injured in combat, action sports, or industrial operations. Led development of android based application to interface with Legionarius tool.
Sales Predictor
Using only the cover predict how well a comic book might sell.
Python, Numpy ORB, VGGnet, Neural Networks, Deep Learning, Keras, Pillow, OpenCV, Pandas
https://github.com/goutern/comicBookSalesPredictor
Nicholas Goutermout 