Tryx7/kenyan-climate-prediction-system-v1.0

An AI-powered weather forecasting system that predicts weather patterns across Kenya based on El Nino and La Nina (ENSO) conditions, environmental indicators, and machine learning models. # Kenyan Climate & Weather Prediction System An AI-powered weather forecasting system that predicts weather patterns across Kenya based on El Nino and La Nina (ENSO) conditions, environmental indicators, and machine learning models. ## System Overview This system combines climate science, machine learning, and real-time weather analytics to help predict how El Nino and La Nina conditions may affect weather patterns across Kenya's 47 counties and major towns. ### Key Features - **Climate Intelligence**: Real-time ENSO monitoring with ONI (Oceanic Nino Index) tracking - **ML-Powered Predictions**: Random Forest, Gradient Boosting, and Logistic Regression models - **Location-Based Forecasts**: Support for all Kenyan counties and towns - **Risk Assessment**: Drought, flood, and extreme weather risk analysis - **Interactive Dashboards**: Grafana analytics with climate monitoring - **Real-time Alerts**: Climate alert system with subscription management - **Historical Analysis**: Weather trend comparison and anomaly detection ## Architecture ``` ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │ React/ │────▶│ Nginx │────▶│ FastAPI │ │ Next.js │ │ (Reverse │ │ Backend │ │ Frontend │◀────│ Proxy) │◀────│ (Port │ │ (Vercel) │ │ │ │ 8000) │ └─────────────┘ └─────────────┘ └──────┬──────┘ │ ┌─────────────┐ │ │ Grafana │◀───────────┤ │ (Port │ │ │ 3001) │ │ └─────────────┘ │ │ ┌─────────────┐ ┌────┴──────┐ │ ML │◀────│ Aiven │ │ Service │ │ PostgreSQL │ │ (Port │ │ │ │ 5001) │ └────────────┘ └─────────────┘ ``` ## Technology Stack ### Frontend - **Next.js 14** with React 18 - **Tailwind CSS** for styling - **Chart.js** for data visualization - **Framer Motion** for animations - **Lucide React** for icons - Deployed on **Vercel** ### Backend - **FastAPI** (Python) fo …