DigiMindReady: Enhancing Military Readiness Through Edge AI-Driven Wellness, Education, and Digital Discipline Through Privacy-First mHealth Innovation

Introduction Military personnel face unique challenges in sustaining cognitive performance, emotional regulation, and digital discipline under conditions of operational stress and prolonged screen exposure. Existing mHealth solutions fall short in personalization, privacy, and offline adaptability required for defense settings. Materials and Methods We introduce DigiMindReady, a privacy-first, fully offline mHealth architecture designed to support mission-aligned readiness through AI-assisted wellness coaching. The system comprises 4 modular subsystems: Human Performance Advocate, EduScreen Repository, Screen Time Tracker, and Digital Reward Engine. Powered by a local large language model, the architecture enables real-time, on-device personalization without cloud dependency, enhancing resilience in disconnected military environments. Results Prototype testing demonstrated the system’s capability to deliver adaptive, context-relevant outputs across wellness domains. Despite the absence of military-specific fine-tuning, internal validation confirmed technical feasibility and architectural robustness on low-resource mobile devices. The iOS prototype implementation affirms the system’s readiness for broader deployment, with the underlying architecture designed for cross-platform adaptability. Conclusions DigiMindReady establishes a scalable, secure foundation for digital resilience tailored to military needs. Its modular, edge AI-driven architecture reframes digital wellness from clinical intervention to mission-aligned readiness enhancement. The system’s adaptability, privacy compliance, and offline capabilities position it for future integrations with wearables, environmental sensors, and military evaluation protocols.