Smart Agro Advisor: An AI-Powered Companion for Modern Agriculture

Smart Agro Advisor is a comprehensive web application designed to assist farmers and gardeners by leveraging machine learning and AI to provide instant, data-driven solutions for plant care.

(Suggestion: Take a screenshot of your app's dashboard, upload it to a site like Imgur, and paste the link here.)

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🌿 Key Features

This application is a complete ecosystem of tools for every stage of the plant care journey:

• Secure User Authentication: A robust, two-step registration process using Email OTP verification to keep user data private.
• Plant Disease Diagnosis: Instantly identify plant diseases by uploading a photo. A k-NN machine learning model analyzes the image and provides detailed information on symptoms and treatments.
• Crop & Fertilizer Recommender: A powerful two-step tool that uses Random Forest models to first recommend the ideal crop for specific soil/climate conditions, and then the most effective fertilizer for that crop.
• My Garden & Plant Journal: A personal dashboard to log a collection of plants, track their progress with photos, and receive smart reminders for watering and fertilizing.
• AI Growth Analyzer: A unique feature that uses Google's Gemini AI to analyze journal photos and provide a professional rating of a plant's growth along with actionable recommendations.
• AI Plant Guide: An intelligent guide powered by Gemini AI. Users can enter any plant name to get a detailed, structured care guide tailored to their local conditions.
• Weather Forecast: Provides real-time weather and a 5-day forecast for any city, powered by the OpenWeatherMap API.
• Community Forum: A social hub where users can create posts (with text and images), ask questions, and share advice with other members.

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🛠️ Technology Stack

The application is built on a modern, robust, and scalable technology stack.

• Backend: Python, Django, Django REST Framework
• Frontend: React.js, Modern CSS
• Database: SQLite (managed by Django ORM)
• Machine Learning: Scikit-learn, Pandas, Joblib, OpenCV
• External APIs: Google Gemini (for AI), OpenWeatherMap (for weather)

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🚀 Getting Started

To run this project locally, follow these steps:

Prerequisites

• Python 3.10+
• Node.js and npm
• Git

Backend Setup

1. Clone the repository: git clone https://github.com/YourUsername/smart-agro-advisor.git
2. Navigate to the backend directory: cd plant_doctor_project/backend
3. Create and activate a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate

4. Install Python dependencies: pip install -r requirements.txt (Note: You should create a requirements.txt file by running pip freeze > requirements.txt)
5. Create a .env file and add your secret API keys.
6. Run database migrations: python manage.py migrate
7. Start the server: python manage.py runserver

Frontend Setup

1. Navigate to the frontend directory: cd plant_doctor_project/frontend
2. Install JavaScript dependencies: npm install
3. Start the React development server: npm start

The application will be available at http://localhost:3000.