DigiMindReady: Enhancing Military Readiness Through Edge AI-Driven Wellness, Education, and Digital Discipline
Md Mehedi Hasan1, Md Fazle Rabbi Rahat1, Nafisa Anjum1
1Department of Information Technology, Kennesaw State University, 1100 South Marietta Pkwy, Marietta, GA 30060, United States.
Military Medicine
|March 19, 2026
Summary
DigiMindReady enhances military readiness with an AI-powered, offline mobile health system. This privacy-first architecture supports cognitive performance and digital discipline for personnel in demanding operational environments.
Area of Science:
- Military Health
- Digital Wellness
- Edge AI
Background:
- Military personnel require sustained cognitive performance and emotional regulation under operational stress.
- Existing mobile health (mHealth) solutions lack personalization, privacy, and offline capabilities for defense settings.
Purpose of the Study:
- Introduce DigiMindReady, a privacy-first, offline mHealth architecture for mission-aligned readiness.
- Support military personnel's cognitive and emotional well-being in disconnected environments.
Main Methods:
- Developed a modular architecture with AI-assisted wellness coaching using a local large language model.
- Implemented subsystems for human performance advocacy, education, screen time tracking, and digital rewards.
- Ensured on-device personalization without cloud dependency for enhanced resilience.
Main Results:
- Prototype testing confirmed adaptive, context-relevant wellness outputs.
- Internal validation demonstrated technical feasibility and architectural robustness on low-resource devices.
- iOS prototype readiness for broader deployment, with cross-platform adaptability.
Conclusions:
- DigiMindReady provides a scalable, secure foundation for digital resilience in military contexts.
- The edge AI-driven architecture reframes digital wellness as mission-aligned readiness.
- Future integrations with wearables and sensors are facilitated by its adaptable, offline capabilities.
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