2025bcs068-prog/AgriGuard_elly

AgriGuard is an agricultural intelligence system designed to improve food security in Uganda by forecasting crop prices, detecting counterfeit seeds and agro-inputs, and providing market risk insights. It supports farmers and government with data-driven decisions to increase productivity, income stability, and market transparency. # AgriGuard **Agricultural Intelligence System for Uganda** --- ### Overview **AgriGuard** is an intelligent agricultural platform designed to strengthen **food security, farmer incomes, and agro-input quality** in Uganda. It combines **machine learning**, **data analytics**, and **user-friendly dashboards** to solve critical challenges faced by Ugandan farmers and policymakers. --- ### Problem Statement Farmers in Uganda continue to struggle with: - High **crop price volatility** leading to income uncertainty - Widespread **counterfeit seeds, fertilizers, and pesticides** - Limited access to timely **market intelligence** - Climate and production risks --- ### Solution AgriGuard delivers **data-driven insights** through: - **Accurate crop price forecasting** using Machine Learning - **Counterfeit agro-input detection** system - **Market risk analysis** and intelligence dashboard - Decision support tools for **farmers**, **agribusinesses**, and **government** --- ### Key Features (MVP) - **Price Forecasting Engine** — Predict future prices for major Ugandan crops (maize, matooke, coffee, beans, cassava, etc.) - **Fake Input Detector** — Verify authenticity of seeds, fertilizers, and pesticides - **Interactive Dashboard** — Built with Streamlit for easy visualization and insights - **Backend API** — FastAPI for scalable and secure data access - **Data Pipeline** — Structured processing of raw agricultural data --- ### Tech Stack | Layer | Technologies | |--------------------|---------------------------------------| | **Backend** | FastAPI, Python | | **Frontend** | Streamlit | | **ML / Data** | scikit-learn, pandas, NumPy, Matplotlib, Seaborn | | **Infrastructure** | Docker, Docker Compose | | **Development** | VS Code, Jupyter Notebooks | --- ### 📁 Project Structure ```bash AgriGuard/ ├── backend/ …