FAOSTATs Global Agricultural Insights with AI

Problem: Agricultural data is crucial for understanding food security, economic planning, and environmental impact. However, datasets like FAOSTAT can be overwhelming and difficult to analyze without technical tools. Solution: FAOSTATs Viewer is a lightweight, AI-enhanced data explorer built with Streamlit that makes global agricultural statistics accessible and interactive. Users can filter by domain, indicators, commodities, country, and year to generate visual insights in seconds. Target Audience: Researchers, students, data scientists, policymakers, and NGOs focused on agriculture, climate, and economic development. Key Features: Real-time access to FAOSTAT data via API. Clean, interactive visualizations using Plotly. Filter system for highly granular control (Domain, Metrics, Country, Commodity, Year). Streamlit interface for a seamless user experience. Tech Stack: Python Streamlit FAOSTAT API Plotly Pandas Impact: By simplifying complex global agricultural data, this app empowers stakeholders to make data-informed decisions around food production, trade, and sustainability.