We would like to collaborate with students to apply the latest artificial intelligence (AI) and machine learning (ML) techniques to our existing dataset. Students will refine an existing ML model related to the data collected from open source wildfires and emissions in the United States, and develop an AI application to communicate the intensity of upcoming dangers.

This will involve several different steps for the students, including:

• Thoroughly reviewing the existing datasets, the wrangled data, and the existing model
• Analyzing the deficiencies of the current model
• Researching the latest AI / ML techniques to refine the model
• Developing an enhanced model which maximizes accuracy and predicts the best insights from our data
• Incorporating the model into a user friendly application to be shared with audience of multiple demographics

By the end of the project, students should demonstrate:

• Understanding of the available dataset
• Understanding of the most suitable AI / ML techniques
• Utilizing a ML technique to address a real world problem

Bonus steps would include:

• Providing insights into utilizing the developed application to convince climate policy changes

Final deliverables should include

• A final report on the application developed to address the problem, the ML model, methodologies used to enhance the outcomes, and recommended next steps.
• Source materials such as code and workbooks