This is a full stack web app, which Includes Frontend (HTMLCSS,JS), Backend(Flask), Machine Learning Model, Artificial Intelligence(Gemini), Firebase(Google)

🌱 AI Crop Doctor

📖 About the Project

AI Crop Doctor is an AI-powered web application that helps farmers, gardeners, and agricultural experts identify plant diseases from leaf images. By combining machine learning image analysis with context-based follow-up questions, it delivers accurate diagnoses and practical treatment suggestions.

How it works

1. Upload an image of your plant or leaf (drag-and-drop or click to select)
2. Answer a few simple questions about symptoms and conditions
3. Receive a confidence-based disease diagnosis and actionable recommendations

Key Highlights

• 📸 AI Image Recognition for plant disease detection
• 🧭 Interactive Q&A for improved accuracy
• 📊 Confidence Scores for transparency
• 📱 Fully Responsive and mobile-friendly design
• 🎯 Actionable Recommendations to help protect crops

🧑‍🌾 Step-by-Step Usage Guide

Follow these simple steps to use AI Crop Doctor effectively:

1. Open the AI Crop Doctor web application in your browser.
2. Upload a clear image of the affected plant leaf using drag-and-drop or file selection.
3. Ensure the image is well-lit and focused for accurate analysis.
4. Click on the Analyze Image button to start the diagnosis.
5. Answer the follow-up questions related to plant condition and symptoms.
6. Wait a few seconds while the AI processes the image.
7. View the detected disease along with confidence score and treatment recommendations.

🗂 Project Structure

📁 ai-crop-disease-detection-agent/
│__📄 app.py
│__📄 class_indices.json
│__📄 crop_diagnosis_best_model.tflite
│__📄 README.md
│__📄 requirements.txt
│__📄 .gi