ONGICHO/fundtrack-africa

AI system for tracking African government fund allocation and resource localization # FundTrack AFRICA An AI-powered system for tracking and analyzing how African governmental states allocate their funds and localize their resources. ## Overview FundTrack AFRICA is a comprehensive platform designed to provide transparency, accountability, and insights into government spending across African nations. The system leverages artificial intelligence to detect anomalies, predict spending patterns, and identify resource allocation inefficiencies. ## Key Features - 📊 **Real-time Fund Tracking** - Monitor government fund allocation across departments and regions - 🔍 **AI-Powered Analytics** - Detect spending anomalies and patterns using machine learning - 🗺️ **Resource Localization** - Map resource distribution geographically across states - 📈 **Predictive Analytics** - Forecast spending trends and budget requirements - ⚠️ **Anomaly Detection** - Identify irregular transactions and potential misallocations - 📱 **Interactive Dashboard** - Visualize fund flow and resource distribution - 🔐 **Data Security** - Enterprise-grade security for sensitive government data ## Project Structure ``` fundtrack-africa/ ├── backend/ # Node.js/Express API ├── frontend/ # React dashboard ├── ml-engine/ # Python AI/ML modules ├── database/ # PostgreSQL schemas ├── docs/ # Documentation ├── .github/workflows/ # CI/CD pipelines ├── docker-compose.yml # Container orchestration └── README.md # This file ``` ## Tech Stack ### Backend - **Runtime**: Node.js - **Framework**: Express.js - **Database**: PostgreSQL - **ORM**: Sequelize ### Frontend - **Framework**: React 18 - **State Management**: Redux - **Styling**: Tailwind CSS - **Visualization**: Chart.js, Mapbox GL ### AI/ML Engine - **Language**: Python 3.9+ - **ML Libraries**: TensorFlow, Scikit-learn, Pandas - **API Framework**: FastAPI - **Anomaly Detection**: Isolation Forest, LSTM ### DevOps - **Containerization**: Do …