starsyntaxx/agri_guard

Offline-first AI system for monitoring grain storage conditions and predicting post-harvest deterioration and aflatoxin risk for smallholder farmers in Africa. # AgriGuard **Offline-first AI-powered post-harvest grain integrity monitoring and aflatoxin risk mitigation system for smallholder farmers in Africa.** AgriGuard combines low-cost environmental and grain-moisture sensing, time-series machine learning, and on-device AI to monitor storage conditions, predict grain deterioration risk, and deliver actionable alerts—even in low-connectivity environments. ### Core Focus * Continuous grain-storage monitoring * Moisture, temperature, and humidity analysis * AI-powered deterioration and contamination-risk prediction * Offline-first, low-resource device deployment * Time-series modelling and edge AI optimization * Adaptation to African agricultural and climatic contexts * Cloud synchronization and continuous model improvement **Research → Data → Intelligence → Edge Deployment → Field Validation**