Rushikesh-mali/AgroVision-AI

AgroVision-AI # 🌿 AgroVision AI ### Intelligent Plant Disease Detection System AgroVision is an AI-powered plant disease detection platform that helps farmers, students, and researchers instantly identify plant diseases using image analysis. --- ## 🚀 Features - 📸 Upload or capture plant leaf images - 🤖 AI-powered disease detection using deep learning (MobileNetV2) - 📊 Confidence score + severity prediction - 💊 Detailed treatment, cause & prevention suggestions - 🌍 Multi-language support (EN / HI / MR) - ⚡ Fast & responsive UI --- ## 🧠 Supported Plants ### 🍆 Eggplant - Healthy - Insect Pest - Leaf Spot - Mosaic Virus - Small Leaf - White Mold - Wilt ### 🍇 Grapes - Black Rot - ESCA - Healthy - Leaf Blight ### 🍊 Orange - Citrus Canker - Nutrient Deficiency - Healthy ### 🥔 Potato - Early Blight - Late Blight - Healthy ### 🍅 Tomato - Early Blight - Late Blight - Leaf Mold - Healthy --- ## 🏗️ Tech Stack ### Frontend - HTML5 - Tailwind CSS - JavaScript ### Backend - FastAPI (Python) ### AI / ML - TensorFlow - MobileNetV2 (Transfer Learning) --- ## ⚙️ Project Structure AgroVisionAI/ │ ├── agrovision-frontend/ # Frontend UI ├── dataset/ # (Not included in repo) ├── agrovision_model.h5 # Trained model (optional) ├── disease_info.json # Disease details ├── main.py # FastAPI backend ├── train_model.py # Model training script ├── .gitignore └── README.md --- ## 🧪 How to Run ### 1️⃣ Clone Repository ```bash git clone github.com cd AgroVision-AI ### 2️⃣ Setup Python Environment python -m venv agrovision_env agrovision_env\Scripts\activate pip install -r requirements.txt ###3️⃣ Run Backend (FastAPI) uvicorn main:app --reload 👉 Backend runs at: 127.0.0.1 4️⃣ Run Frontend cd agrovision-frontend npx live-server 📡 API Endpoint POST /predict Request: Image file (form-data) Response: { "prediction": { "disease": "Eggplant Insect Pest", "confidence": 0.87, "severity": "Moderate" }, "details": { "cause": "...", "treatme …