Hello WildLabs community,

Here's an update on our progress with the AI-based marine mammal sound detection platform.

What We've Accomplished

We've completed our first milestone: a Windows executable for our Burrunan dolphin detection model. This executable allows our AI code to run independently without requiring Python or other dependencies to be installed on the user's machine.

This executable serves as the foundation for our web service - the same packaged code that runs locally will power the online platform, ensuring consistency between our local and web-based offerings.

Current Work

We're currently focused on two main areas:

Web Service Development

We're developing an online platform to make our models accessible via web browsers. The main challenge is finding the right hosting solution that balances cost-effectiveness with handling variable workloads.

Service Optimization

We're developing a more efficient version of our detection algorithms to reduce computational requirements and processing time. This optimisation benefits both the local executables and the planned web service.

Next Steps

Platform Expansion

• Moving the Windows executable from MVP to a production-ready version
• Adding macOS support

Model Integration Approaches

We're evaluating two paths for handling multiple species models:

• Option 1: Create individual executables for each new model we develop. This means every time we complete a new species model, we'll package it as a separate executable.
• Option 2: Build a single executable that can dynamically load different models. This approach is more complex to develop but offers better scalability and could facilitate integration with existing tools like Raven.

Web Service MVP

• Developing a basic browser-based interface for model selection and file upload

Model Library

A system that allows users to choose the species detection model for their acoustic data.

Here are some Burrunan dolphins!