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

BGI & Platform Growth: Integrates with SingularityNET for decentralized satellite data analysis and NLP models. Farmers/herders earn tokens for contributing data, incentivizing platform adoption.  
- Community Impact: Partners with Nigeria’s **National Agricultural Extension Agency** to train 500+ mediators via AI-driven conflict simulations.  
- Scalability: Open-source tool adaptable to other regions (e.g., Ethiopia, Sudan) facing similar resource conflicts

Technical Feasibility  
- Conflict Prediction Model: Trained on historical conflict data (ACLED) + satellite imagery to detect deforestation/overgrazing patterns.  
- Resource Allocation Algorithm: Optimizes water/fertilizer distribution using geospatial ML (FAO CropWat model).  
- Ethical AI: Bias audits via IBM AI Fairness 360 to ensure equitable recommendations across ethnic groups.  

Problem description

Nigeria loses $14B annually to farmer-herder conflicts over shrinking arable land (FAO 2023). Climate disasters (e.g., Lake Chad’s 90% shrinkage) exacerbate tensions, displacing 3M people. Current mediation efforts lack predictive tools to address root causes: resource scarcity and misinformation.  

Proposed Solutions

1. AI Early Warning System: Satellite + social media analysis predicts conflicts 2-4 weeks in advance.  
2. Multilingual Chatbot: Translates Fulani/Hausa/Yoruba to resolve disputes via SMS (no internet needed).  
3. Resource Dashboard: Recommends optimal land/water use for 10km² zones, reducing competition.  
4. Community Rewards: Farmers/herders earn crypto tokens for sharing data, fostering collaboration.