PeachBot EcoSense Whitepaper
Edge AI for Disaster Monitoring & Environmental Intelligence
EcoSense Whitepaper
Technical documentation covering architecture, analytics, deployment, ethics, and evaluation.
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About the PeachBot EcoSense Whitepaper
This whitepaper documents the technical architecture, deployment philosophy, and ethical foundations of PeachBot EcoSense—an edge-first AI platform for environmental monitoring and disaster preparedness.
The document explains how decentralized, solar-powered, and explainable AI systems can enhance situational awareness for floods, landslides, climate-driven hazards, and ecological monitoring, while maintaining clear boundaries around human authority and public safety.
What the Whitepaper Covers
- Environmental risk context and disaster monitoring challenges
- Edge-first system architecture using SBC-based AI systems
- Prototype hardware and software implementation
- Explainable AI analytics and risk assessment pipeline
- Simulation, evaluation, and operational validation
- Use cases across floods, landslides, wetlands, and infrastructure
- Ethics, safety, and responsible AI governance
- Deployment strategy, scalability, and future roadmap
Who Should Read This Whitepaper
- Government and disaster management authorities
- Environmental and ecological monitoring organizations
- Infrastructure and urban planning agencies
- Academic and applied research institutions
- NGOs focused on climate resilience and risk reduction
Download the EcoSense Whitepaper
This whitepaper is provided for technical and informational purposes only. PeachBot EcoSense is a decision-support platform and does not replace official disaster warning systems or emergency response authorities.