Progress AI Social Media Engagement Project

The main goal of this project is to create engaging content for our social media pages. This will involve several different steps for the students, including: - Researching our target audience and creating content that resonates with them. - Developing a content strategy to ensure our social media pages are regularly updated with relevant content. - Creating visuals and videos that capture our company's mission and values. - Developing a system to measure the success of our content. - Analyzing the data from our content to identify areas of improvement.

Quantifying GHG Emission Reductions from AI-Driven Wildfire Detection

The goal of this project is to develop a scientifically robust framework for quantifying the greenhouse gas (GHG) emission reductions enabled by Bayes Studio’s AI-driven wildfire detection and monitoring technology. By leveraging satellite data, remote sensing techniques, and wildfire emission models, the project aims to accurately estimate the carbon emissions avoided through early wildfire intervention. This research will support grant compliance, provide data-driven evidence of environmental impact, and contribute to broader climate change mitigation efforts by informing policy decisions, carbon credit opportunities, and sustainable wildfire management strategies.