Grantee Research Project Results
GAITER: Generative AI Training for Emergency Responders
EPA Contract Number: 68HERC25C0016Title: GAITER: Generative AI Training for Emergency Responders
Investigators: Riley, Jennifer
Small Business: Design Interactive Inc.
EPA Contact: Richards, April
Phase: I
Project Period: December 16, 2024 through June 15, 2025
Project Amount: $100,000
RFA: Small Business Innovation Research (SBIR) - Phase I (2025) RFA Text | Recipients Lists
Research Category: Small Business Innovation Research (SBIR) , SBIR - Homeland Security
Description:
In response to the increasing challenges posed by natural disasters and emergencies, Design Interactive, Inc. (DI) proposes Generative AI Training for Emergency Responders (GAITER)—a comprehensive, AI-powered training solution aimed at enhancing emergency response preparedness through realistic video-based simulations. GAITER seeks to streamline and automate the creation of tailored training content using generative AI, delivering immersive, repeatable, and cost-effective learning experiences across diverse contexts and unpredictable scenarios.
This innovative solution leverages DI’s patented technology for converting 2D content into 3D formats for use in virtual and augmented reality training. It integrates emerging generative AI technologies along with a pedagogical framework for instructor competencies and performance tracking. By reducing the burden of producing detailed, context-specific training videos, GAITER enables interactive experiences that gather decision-making performance data and provide actionable feedback.
Phase I of the project aims to validate the feasibility of the training solution by demonstrating key capabilities: the extraction of data from existing images and videos for automated video generation, and proof of concept for creating immersive training content through both manual and auto-extracted inputs. Utilizing machine learning for 2D video analysis, this phase will showcase rapid conversion of visual data into actionable training materials while illustrating potential efficiencies in content creation and reduced reliance on human expertise. The outcomes will inform a detailed design for the GAITER system, encompassing architecture, user interface concepts, and functional requirements necessary for full prototype development in Phase II.
Anticipated benefits of GAITER include enhanced training efficiency, lower costs, and improved preparedness for responders facing increasingly complex emergency situations. Furthermore, GAITER presents significant commercialization potential, with applications extending beyond emergency services to healthcare, military, and corporate training environments, thus broadening its market reach and impact. The solution also offers substantial potential for positive environmental impact by improving emergency preparedness, reducing resource consumption, enabling data-driven decision-making, and promoting awareness of environmental issues—all contributing to better outcomes in the face of escalating climate-related disasters.
Progress and Final Reports:
The perspectives, information and conclusions conveyed in research project abstracts, progress reports, final reports, journal abstracts and journal publications convey the viewpoints of the principal investigator and may not represent the views and policies of ORD and EPA. Conclusions drawn by the principal investigators have not been reviewed by the Agency.