Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Shagba11/-CattleGuard-NG-AI-Powered-Early-Warning-System

Domaine:

healthcare

Type de record:

software
Créateur:
Sha
Hôte:
AI-Powered Early Warning System for Transboundary Cattle Diseases in Northern Nigeria. Features real-time risk heatmaps, predictive analytics, and bilingual (English/Hausa) SMS alerting. # CattleGuard-NG: AI-Powered Early Warning System **CattleGuard-NG** is a production-grade, open-source veterinary epidemiology platform designed to predict and prevent transboundary cattle disease outbreaks across the 12 Northern States of Nigeria. By integrating satellite climatology data, historical outbreak records, and market movement dynamics, the system provides 19+ days of early warning for critical diseases. ## 🔐 Default Login Credentials (v2.5.0) To access the system, use the following official credentials: * **Email:** `officer@fmard.gov.ng` * **Password:** `admin123` (or any non-empty password for demo) * **Feature:** Check **"Remember Me"** to persist your session across reloads. ## 🚀 New in Version 2.5.0 ### 1. Enhanced Authentication & Security * **Secure Login Portal:** New branded login interface for the Federal Ministry of Agriculture. * **Session Persistence:** "Remember Me" functionality using local storage to maintain officer sessions. * **Responsive Logout:** Secure session termination with auto-redirect. ### 2. Advanced Profile Management * **Cow Avatars:** Veterinary officers can now select from a curated list of high-quality bovine and agricultural avatars. * **Digital Identity:** Dynamic ID Card generation now reflects the user's custom avatar and active status. * **Header Redesign:** New "Split-Green" header design separates official Ministry branding from user profile actions for better UX. ## 🎯 Core Objectives 1. **Early Detection:** Predict outbreaks of CBPP, FMD, Anthrax, LSD, and Trypanosomiasis with >96% AUC. 2. **Last-Mile Communication:** Deliver automated, bilingual (English/Hausa) SMS alerts to herders and veterinary officers. 3. **Data Visualization:** Interactive risk heatmaps and temporal trend analysis for decision-makers. 4. **Personnel Management:** Comprehensive directory and digital identity system for field officers. ## 🏗 Tech Stack ### Frontend * **Framework:** React 18 * **Lang …

Visit

github.com

Languages

Hausa