From code to impact: Crusoe’s hackathon reveals AI’s power to drive change in energy and beyond

by | Jul 4, 2024 | Technology

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In a 24-hour hackathon hosted by Crusoe Energy and Lowercarbon Capital, developers demonstrated the remarkable speed at which AI can tackle longstanding challenges in the clean energy sector. The event, held in San Francisco on June 28-29, 2024, showcased how AI tools can compress months or years of traditional work into mere hours, potentially revolutionizing clean energy deployment.

The winning team, Verdigris, exemplified this swift transformation by developing an AI system that addresses key barriers in home electrification. Their tool analyzes mortgage data to identify qualified homeowners for zero-cost upgrades and generates personalized marketing materials, including AI-created images of homes with proposed improvements. This level of personalization and automation could significantly accelerate the adoption of home energy upgrades.

Team Verdigris’ winning moment    Credit: Crusoe 

Verdigris’s system integrates with bank databases to access mortgage information, income data and property details. It then uses this data to determine eligibility for various energy upgrade incentives. The team leveraged the Eli API to calculate available tax credits and rebates, ensuring that recommendations are tailored to each homeowner’s specific situation. Perhaps most impressively, the system employs DALL-E, an advanced image generation AI, to create realistic before-and-after visuals of each property with proposed upgrades. This visual component makes the benefits of energy improvements tangible and compelling for homeowners.

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Verdigris Architecture    Credit: Crusoe 

Other projects further illustrated AI’s transformative potential. The Daylight team created a system that rapidly extracts and maps complex stakeholder relationships from dense permitting documents – a task that traditionally takes months. Their AI uses natural language processing to identify key entities, their roles, and interconnections within tho …

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We want to hear from you! Take our quick AI survey and share your insights on the current state of AI, how you’re implementing it, and what you expect to see in the future. Learn More

In a 24-hour hackathon hosted by Crusoe Energy and Lowercarbon Capital, developers demonstrated the remarkable speed at which AI can tackle longstanding challenges in the clean energy sector. The event, held in San Francisco on June 28-29, 2024, showcased how AI tools can compress months or years of traditional work into mere hours, potentially revolutionizing clean energy deployment.

The winning team, Verdigris, exemplified this swift transformation by developing an AI system that addresses key barriers in home electrification. Their tool analyzes mortgage data to identify qualified homeowners for zero-cost upgrades and generates personalized marketing materials, including AI-created images of homes with proposed improvements. This level of personalization and automation could significantly accelerate the adoption of home energy upgrades.

Team Verdigris’ winning moment    Credit: Crusoe 

Verdigris’s system integrates with bank databases to access mortgage information, income data and property details. It then uses this data to determine eligibility for various energy upgrade incentives. The team leveraged the Eli API to calculate available tax credits and rebates, ensuring that recommendations are tailored to each homeowner’s specific situation. Perhaps most impressively, the system employs DALL-E, an advanced image generation AI, to create realistic before-and-after visuals of each property with proposed upgrades. This visual component makes the benefits of energy improvements tangible and compelling for homeowners.

Countdown to VB Transform 2024

Join enterprise leaders in San Francisco from July 9 to 11 for our flagship AI event. Connect with peers, explore the opportunities and challenges of Generative AI, and learn how to integrate AI applications into your industry. Register Now

Verdigris Architecture    Credit: Crusoe 

Other projects further illustrated AI’s transformative potential. The Daylight team created a system that rapidly extracts and maps complex stakeholder relationships from dense permitting documents – a task that traditionally takes months. Their AI uses natural language processing to identify key entities, their roles, and interconnections within tho …nnDiscussion:nn” ai_name=”RocketNews AI: ” start_sentence=”Can I tell you more about this article?” text_input_placeholder=”Type ‘Yes'”]

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