Lu9er/IFRAD-AI-framework

Validated technical blueprints for IFRAD's AI framework. Includes system architecture v2.0, predictive algorithms (HES), integration standards, and ethical guidelines. Designed for Uganda's unconnected last mile to reduce stockouts through localized edge computing and human-in-the-loop protocols. # IFRAD AI Framework Validated technical blueprints for IFRAD's AI framework. Includes system architecture v2.0, predictive algorithms (HES), integration standards, and ethical guidelines. Designed for Uganda's unconnected last mile to reduce stockouts through localized edge computing and human-in-the-loop protocols. Status: Technical validation complete (Nov 2025) | Pilot: Planned 2026 Partners: International Foundation for Recovery and Development (IFRAD), Uganda Ministry of Health, Kyambogo University Funding: Elrha Humanitarian Innovation Fund (UK FCDO) # Overview This repository contains the validated technical specifications, ethical guidelines, and architectural blueprints for an offline-first AI Supply Chain Framework designed for humanitarian settings in Uganda.Current cloud-based supply chain tools fail in the 89% of facilities that face unreliable connectivity. This framework shifts predictive intelligence from the cloud to the edge, enabling sophisticated demand forecasting on mobile devices without requiring constant internet access.3 # Repository Contents 1. Core Technical Specifications: The system architecture details the offline-first approach using SQLite in WAL mode and the sync logic between facilities and national hubs. The predictive demand algorithms explains the tiered forecasting system (Rule-based for local devices, Hierarchical Exponential Smoothing for district planning). Offline workflow contains UX/UI wireframes and logic for solo-staff operations. 2. Governance & Ethics (critical for policy): The ethical guidelines contain protocols for Human-in-the-Loop AI. Includes the "Local Edits Always Win" policy that empowers frontline workers to override algorithms during outbreaks. The fraud prevention handbook is the break-glass protocols for maintaining data integrity in low-supervision environments. 3. Impact & Evidence: Baseline report conatins empirical findings from 10 health facilities in Karamoja and Nakivale Refugee Settlement (n=64 …