🌾 AgroIntel Offline Leaf Disease Detection & Yield Prediction System 📌 Overview AgroIntel is an AI-powered agricultural support system designed to help farmers: 🌿 Detect crop diseases from leaf images 📉 Estimate yield reduction 💰 Calculate potential economic loss 📴 Work completely offline The system combines Computer Vision, Predictive Logic, and Local Database Storage to provide practical decision support for farmers in rural areas. 🎯 Problem Statement Farmers often face: Late disease detection No access to agricultural experts Uncertainty about yield impact No financial loss estimation AgroIntel provides instant AI-based diagnosis and yield analysis using only a leaf image. 🧠 How the System Works Farmer uploads a leaf image. The trained deep learning model (model.h5) predicts: Crop type Disease type Confidence score Disease severity is calculated. Yield loss is estimated using crop-specific base yield. Economic loss is calculated. Data is stored locally in SQLite database. 🏗️ Project Structure AgroIntel/ │ ├── app.py # Streamlit User Interface ├── yield_engine.py # Yield & loss calculation logic ├── database.py # SQLite database functions ├── model.h5 # Trained leaf disease detection model ├── agroai.db # Local database file └── README.md 🧮 Yield Calculation Logic The system estimates yield loss using: Base yield per acre (crop-specific) Disease severity factor Land size Market price Core Formula Estimated Loss = Base_Yield × Severity_Factor × Land_Size Economic Loss = Estimated_Loss × Market_Price