Orcasound

Mentors: Student: Karan Mishra

Orcanode repository contains a set of projects distributed in different directories that provide a number of tools to deal with capturing, processing, and uploading audio files archived at the Ocean Observatories Initiative (OOI) site. However, there are a few issues that need to be resolved and other enhancements to be made. This project focuses on the following: 1. Handling lags in miniSEED audio data fetched from the OOI website. The missing data issue also needs to be resolved. 2. Leveraging cloud tools for continuous pulling and streaming of data to reduce local system dependence. 3. Integrating the data with the Orcasound website and streaming hls format for users to listen.

Mentors: Student: Devdoot Chatterjee

One of the goals of this project is to utilize Deep Learning models to better interpret underwater sounds. We are required to train neural networks streams of audio data to separate marine mammal vocalization sounds (orcas and humpback whales) from other background noise like that of ships and other vessels. Next, we have to train two different neural networks- one for classifying the whale vocalization sounds and the other one to classify ship noises. The second part of the project involves building an efficient vessel monitoring system. We will use AIS data to detect and track larger commercial vessel and some private yachts. The non-AIS boats can be tracked using RADAR and camera data using Marine Monitoring system. Once we are done training all the models, we can deploy the detectors on the cloud and on the Jetson Nano.

Mentors: Student: Ambra Jin

The killer whale, also known as orca, is the largest dolphin species. Commercial hunting and culling for fisheries protection are threatening its existence. They are also captured for commercial displays in aquariums. Food contamination, chemical contaminants in water, and naval traffic disturbance all pose serious threats to their habitat. A group of orcas known as the Southern Residents is threatened in the United States, with only 71 remaining species in 1974 and 75 by 2020 . By listening for orcas and learning about marine bioacoustics, the Orcasound intends to study and save Southern Resident orcas in the Pacific Northwest . The proposed project uses machine learning and time-series approaches to improve real-time underwater sound interpretation

Mentors: Student: Benjamin Chew

OrcaAL is an active learning tool built by past GSoC students for identifying orca calls. It achieves this by leveraging both expert and machine annotations to train better models in a semi-supervised way. Past efforts have been made mostly to develop a functional proof-of-concept and improve the performance of the tool. As such, this project aims to improve the underlying infrastructure supporting the tool, as well as enhance future developers' experience when expanding upon OrcaAL's capabilities.

Mentors: Student: isabella Macchivello

<p>OrcaSounds main objective is to educate and protect the orcas in the pacific. But in order to do that the website specifically the frontend needs to be optimized to keep users on the website and to make them willing to come back. Not only that but with the rise of users who use their phones to access a website;OrcaSound needs to be mobile accessible and also comply with the a11y requirements . In order to reach a wider audience and fulfill their business goals. My project would involve using the technologies of html,css , react , react-elements and javascript in order to improve the frontend.While working with the Ux team alongside this process. I want to create an attractive landing page that captures attention, organize the footer, create a blog post gallery and optimize them for SEO.</p>