citodouce-eng/Maize-Production-in-Africa

# 🌽 Maize Production in Africa — Big Data Project > **Big Data Analytics, Machine Learning & AI Assistant for Maize Production in Africa** ## Project Overview This project focuses on the **analysis and prediction of maize production in African countries** using agricultural data obtained from **FAOSTAT**. The objective is to build an end-to-end Big Data solution capable of: * Extracting and transforming maize production data. * Storing processed data in PostgreSQL. * Performing Exploratory Data Analysis (EDA). * Identifying production trends across African countries. * Developing Machine Learning models to predict maize production. * Creating an interactive Tableau dashboard. * Integrating an AI Assistant capable of answering natural-language questions about the dataset. The project demonstrates the complete data lifecycle, from **raw data ingestion to analytics, prediction, visualization, and AI-powered interaction**. --- ## Project Objectives The main objectives of this project are: 1. **Collect** maize production data from FAOSTAT. 2. **Filter** the dataset to focus specifically on African countries. 3. **Clean and transform** the raw agricultural data. 4. **Store** the processed dataset in PostgreSQL. 5. **Analyze** maize production trends using EDA. 6. **Develop and evaluate** Machine Learning models. 7. **Predict** maize production based on historical data. 8. **Visualize** key findings through an interactive Tableau dashboard. 9. **Develop an AI Assistant** using the Groq API to interact with the data using natural language. --- ## Project Architecture The project follows an end-to-end data pipeline: ```text ┌─────────────────────┐ │ FAOSTAT │ │ Raw Maize Data │ └──────────┬──────────┘ │ ▼ ┌─────────────────────┐ │ ETL │ │ Extract │ │ Transform │ │ Load │ └──────────┬──────────┘ │ ▼ ┌─────────────────────┐ │ PostgreSQL │ │ Data Storage │ └──────────┬──────── …