akeDataAnalyst/ethiopia-coffee-traceability-map

GIS mapping dashboard that visualizes the full traceability and responsible sourcing journey of Ethiopian specialty coffee - from farm/washing station to export. # Ethiopian Coffee Traceability & Responsible Sourcing GIS Map Interactive GIS Dashboard for Specialty Coffee Supply Chain --- ## Project Description This project is a professional interactive GIS mapping dashboard that visualizes the full traceability and responsible sourcing journey of Ethiopian specialty coffee - from farm/washing station to export. --- ## Problem Statement - Coffee buyers (especially in Europe) demand full traceability and proof of deforestation-free origin due to the EU Deforestation Regulation (EUDR). - Traditional systems lack clear visualization of supply chain data (geolocation, compliance status, sustainability, quality). - Sourcing teams struggle to quickly identify high-quality, fully traceable, and EUDR-compliant lots. - Supplier performance and risk assessment are difficult to monitor geographically. --- ## Solution An interactive GIS dashboard that maps coffee lots with real geographic coordinates, showing: - Exact location of washing stations and farms - EUDR compliance status - Traceability level (Full Farm → Washing Station → Exporter) - Quality (SCA Score & ECX Grade) - Sustainability certifications and deforestation risk - Rich popups with detailed lot information --- ## Tech Stack - **Language**: Python 3.9+ - **Mapping**: Folium + Leaflet.js - **Dashboard**: Streamlit + streamlit-folium - **Data Processing**: Pandas, NumPy - **Visualization**: Plotly Express - **Project Structure**: Modular `src/` architecture ---