NigerGuard:AI Climate Resilience-Vulnerable States

Problem Statement

Nigeria faces increasing climate vulnerability, particularly in states such as Borno, Yobe, Adamawa, Kebbi, Niger, and Lagos. These regions suffer from flooding, desertification, water scarcity, and food insecurity, threatening lives, infrastructure, and socio-economic stability. Traditional adaptation approaches lack predictive power, real-time insights, and localized planning tools, leaving communities unprepared for worsening climate impacts.

Proposed AI Solution

NigerGuard is an AI-powered platform that combines satellite data, ground sensors, and community insights to predict, assess, and mitigate climate risks in real time. It features two AI services: 1. AI-Driven Risk Assessment & Mitigation Tool – provides early warnings, interactive risk maps, and tailored mitigation plans. 2. AgroDefend: Climate-Smart Agriculture Assistant – delivers personalized smart-farming strategies based on AI analysis of soil, crop, and climate data. The platform integrates NLP, GIS, big data analytics, and traditional knowledge to enhance preparedness, optimize resource use, and empower local communities.

Potential Positive Impact

• Protects over 50 million people in climate-vulnerable Nigerian regions
• Reduces crop losses, improves water usage efficiency, and strengthens disaster preparedness
• Promotes climate justice by empowering marginalized communities with actionable, culturally contextual insights
• Scalable across Africa and other global climate hotspots.

Key Features / Functionalities

Technical Requirements

Cloud-based AI infrastructure (AWS or local equivalents). Satellite imagery and IoT sensor integration. Python-based ML pipelines (TensorFlow scikit-learn). GIS visualization stack (Mapbox Leaflet QGIS). NLP toolkit (spaCy or HuggingFace Transformers). Offline-capable mobile/web apps. API for third-party data ingestion (CSV JSON). Secure cloud storage with versioning and redundancy.