Title: Leveraging AI to Reform Federal Permitting Processes for Renewable Energy Projects
Project ID: ZxdIa28
Domain(s): Artificial Intelligence,Data Science
Description:
The transition to renewable energy sources is crucial for reducing greenhouse gas emissions. However, the current federal permitting process for renewable energy projects is often lengthy and complex, causing delays that hinder the deployment of these vital projects. The Council on Environmental Quality (CEQ) has highlighted the potential for digital technologies to address these delays and improve public accessibility and transparency in their Report to Congress. This work specifically looks at leveraging Large Language models to perform tasks such as document summarization and compliance checking leading to significantly reduce in the time required to complete federal permitting for decarbonization projects.
Desired Skills:
Required: python, machine learning; Desired: langchain, gradio, large language models
Clearance-
US Citizenship Required: Yes
Active Clearance or Background Investigation Required: No
Level Needed:
Team Information-
Targeted Students: Undergrad,Grad
Team Size: 1
Details:
Specific Requirements-
Focus on Particular University: No
Details:
Timeline-
Focus Timeline: No
Details:
Funding-
Potential Funding:No
Note: Availability of funds not guaranteed
I’m Interested In this Project
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