Buzzards Bay: Transitioning to Continuous Water Quality Monitoring
This project aims to study the transition from traditional "grab sample" water quality monitoring to continuous, sensor-based monitoring in Buzzards Bay, Massachusetts.
This project aims to study the transition from traditional "grab sample" water quality monitoring to continuous, sensor-based monitoring in Buzzards Bay, Massachusetts.
Use a computer-vision algorithm to automatically detect whether or not a photograph contains an animal for The Nature Conservancy to use with trail-cam footage.
Fine tune a speech recognition model to use the international phonetic alphabet.
Improve a video analysis model for identifying the type of food (rodent, lizard, fish) that an eagle is bringing to its nest for the U.S. Fish and Wildlife Services.
Leverage modern machine learning and AI techniques to rapidly analyze the before and after satellite images of affected areas to assess damage.
Use a computer-vision algorithm to automatically detect whether or not a photograph contains an animal for The Nature Conservancy to use with trail-cam footage.