kamau552/wk-2-Assignment-africa-co2-predictor

# 🌍 Africa CO₂ Emission Predictor A machine learning web application that predicts CO₂ emissions across African countries based on historical climate data. The project combines a **FastAPI backend** for prediction and data handling with an **interactive frontend dashboard** for visualization. --- ## 📋 Table of Contents - Project Overview - Features - Demo - Technologies Used - Project Structure - Installation & Setup - API Documentation - Usage - Model Training - Future Improvements - Contributing - License - Contact --- ## 🧠 Project Overview **Africa CO₂ Predictor** is an environmental analysis tool that enables users to: - **Analyze** historical CO₂ emission data across 6 African countries - **Predict** future emissions (2030) using machine learning - **Visualize** trends through interactive charts - **Track** climate indicators (temperature, energy use, GDP, population) - **Switch** between light and dark themes - **Access** from any device (fully responsive) This tool supports environmental analysis and policy planning efforts in Africa by making CO₂ emission forecasting accessible and visual. --- ## ✨ Features - **Predictive Analytics** - ML-powered CO₂ emission predictions - **Interactive Visualizations** - Line and bar charts using Chart.js - **Historical Data** - Complete dataset from 2000-2020 - **Country Comparison** - Side-by-side emission comparisons - **Custom Predictions** - Manual input for custom scenarios - **Dark Mode** - Eye-friendly dark theme with glassmorphism - **Responsive Design** - Works on desktop, tablet, and mobile - **Real-time Updates** - Instant prediction results - **RESTful API** - Well-documented FastAPI endpoints --- ### Quick Start ```bash # Clone the repository git clone github.com # Navigate to backend cd africa-co2-predictor/backend # Install dependencies pip install -r requirements.txt # Run the server uvicorn app:app --reload ``` Then open `frontend/index.ht …