• Ajay Kumar Kota

The BioAIBox system was evaluated across three critical dimensions of resilience—climate, health, and cyber through pilot deployments in rural, urban, and enterprise contexts. In a rural flood-prone village in Assam, BioAIBox demonstrated strong climate resilience by predicting floods with an average lead time of 4.2 hours and 91.6% detection accuracy across 12 events. Air quality monitoring achieved 88% agreement with national meteorological stations, while its solar-powered, offline-first design ensured 98.3% system uptime. Community response surveys indicated that 73% of alerted villagers took proactive evacuation measures, underscoring real-world impact. In an urban mobile health unit, BioAIBox provided health resilience by monitoring 52 participants over two months, detecting stress with 76% correlation to heart rate variability anomalies and predicting illness onset 24–48 hours in advance in five cases. Local processing enabled 100% data privacy, leading to 87% user trust. For cyber resilience, a six-week deployment in a hybrid cloud enterprise reduced mean time to recovery by 41% during simulated outages and achieved 92% precision in intrusion detection, while maintaining full visibility during network disruptions. Cross-domain integration further highlighted its value; for example, elevated air pollution levels were correlated with respiratory stress among field staff, enabling preemptive guidance. Collectively, these results demonstrate that BioAIBox can function as a scalable, low-cost, and multi-domain resilience platform. By fusing climate, health, and cyber monitoring into a unified system, BioAIBox offers a transformative model for global resilience infrastructure across both vulnerable communities and enterprise environments.

Global resilience, Edge AI, Self-healing infrastructure, Climate-health monitoring, Cybersecurity automation

"BioAIBox: An AI-Driven Edge Appliance for Global Resilience in Climate, Health, and Cybersecurity", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 8, page no.g453-g469, August-2025, Available :http://www.jetir.org/papers/JETIR2508653.pdf

"BioAIBox: An AI-Driven Edge Appliance for Global Resilience in Climate, Health, and Cybersecurity", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 8, page no. ppg453-g469, August-2025, Available at : http://www.jetir.org/papers/JETIR2508653.pdf