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énasAI: AI-Powered Early Warning and Coordination System for Persecuted Communities in Africa

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énasAI: AI-Powered Early Warning and Coordination System for Persecuted Communities in Africa

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MariamEkwere Oct. 27, 2025
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Challenge: Social and environmental impact

Industries

Social welfare

Technologies

Data science & analyticsForecasting

Tags

AI

Description

 

énasAI uses AI forecasting to predict terrorist attacks 2-48 hours before they occur, giving Christian communities in Nigeria, Sahel, and CAR time to evacuate. It combines early warning ML models, secure emergency communication, blockchain-verified incident documentation, and resource coordination into one platform. By analyzing attack patterns and community signals, it prevents deaths rather than just providing post-attack relief—addressing a gap where governments deny killings occur.

Detailed Idea

Alignment with DF goals (BGI, Platform growth, community)

Problem description

Christian communities across northeastern Nigeria, the Sahel, and the Central African Republic face relentless terrorist attacks without early warning or coordinated response. Governments often deny atrocities, aid efforts are fragmented, and current responses remain reactive. Lives are lost due to a lack of secure communication, verified documentation, and real-time coordination—highlighting the urgent need for ethical, community-driven AI that prioritizes human welfare over profit.

Proposed Solutions

énasAI is a decentralized, community-owned platform powered by Beneficial General Intelligence (BGI). It integrates AI early warning, secure communication, verified reporting, and resource coordination tools. Built on SingularityNET and Cardano, it ensures transparency, accountability, and ethical AI use. The open-source model empowers vulnerable communities, humanitarian NGOs, and AI researchers to collaborate and prevent violence through aligned, life-saving intelligence.

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