Frederick-John/Nigeria-s-Economic-AI-Forecasting-Simulation-Tool-1990-2030-

An AI-powered data science project for modeling, forecasting, and visualizing Nigeria's GDP using machine learning algorithms, interactive dashboards, and simulation tools for policy insights and economic planning. --- title: Streamlit Biogas Analyzer emoji: 🧪 colorFrom: green colorTo: yellow sdk: streamlit sdk_version: "1.34.0" app_file: app.py pinned: false --- # 🇳🇬 Nigeria Economic Forecasting & Simulation Dashboard (1990–2030) This project provides a powerful interactive AI-based tool for **forecasting Nigeria’s GDP**, analyzing long-term economic trends, and simulating economic scenarios. It combines **machine learning models**, **interactive visualization**, and **Gradio-based simulation** using economic indicators such as Agriculture to GDP, Industry to GDP, Services to GDP, Inflation, and Government Debt. --- ## 📌 Features ### ✅ Streamlit Web App - **Dataset Explorer:** Explore Nigeria’s economic data from **1990 to 2030**. - **Data Visualizations:** Dynamic line charts, bar charts, and pie charts for selected indicators. - **Forecasting Models:** Train and compare 7 different ML models: - Random Forest - XGBoost - Gradient Boosting - Extra Trees - CatBoost - AdaBoost - Linear Regression - **Model Comparison:** View R² score, RMSE, and prediction overlays. - **PCA Clustering:** Analyze trends and patterns using dimensionality reduction. - **Year Range Support:** Extendable forecast from historical (1990) to **future projections (2030)**. ### ✅ Gradio Simulation Tool - Input custom economic values to simulate GDP using a **Random Forest model**. - Real-time text and graph output. --- ## 🚀 Getting Started ### 1. Clone the Repository ```bash git clone github.com cd your-repo-name Check out the configuration reference at huggingface.co