🌱 Soilitical

Soilitical is an innovative AI-powered solution designed to assist landowners and farmers in making informed decisions about crop planting to maximize yield and profitability. By leveraging IoT sensors, Soilitical collects real-time data from agricultural fields and utilizes advanced machine learning models to recommend the most suitable crops based on various environmental factors.

Live Demo: https://soilitical.netlify.app/

🚀 Features

• Modern User Interface: A sleek and intuitive design that enhances user experience.
• AI Crop Recommendations: Machine learning algorithms provide tailored crop suggestions for optimal yield.
• User-Friendly Experience: Simplified navigation and interaction for all users, regardless of technical expertise.
• API Connection with the Backend: Seamless integration with the Django backend to manage user accounts and process data efficiently.
• Interactive Map Picker: Users can select specific locations on a map to receive localized crop recommendations and insights.

📦 Installation

To get started with Soilitical, follow these steps:

1. Clone the Repository:

   git clone https://github.com/Soilitical/Soilitical2.0.git
   cd Soilitical-front

Frontend

2. Install Dependencies:

   npm install

3. Run the Application:

   npm start

4. Setup your .env file in the root of Soilitical-front

   .env

   VITE_API_URL= "http://127.0.0.1:8000/"
   VITE_MODEL_URL = "https://example.modelapi.com/predict/"
   VITE_WEATHER_API_KEY="your_weather_api_key"

5. Access the Application: Open your browser and navigate to http://localhost:3000.

Backend

6. Open a new terminal:

cd Soilitical-back

7. Install Python Dependencies:

   pip install -r requirements.txt

8. Set Up SQLite Database:

   python manage.py makemigrations
   python manage.py migrate

9. Run the Django Server:

   python manage.py runserver

10. Environment Setup Create a .env file in the backend directory's root:

Soilitical-backend/

├── manage.py

├── .env <-- Here

and fill it with:

   SECRET_KEY=your_django_secret_key_here
   DEBUG=True

Want to build the ML Model App?

Check it out from here: https://github.com/Soilitical/Soilitical-AI-Api

📊 Usage

• User Registration: Create an account to access personalized crop recommendations.
• Map Interaction: Use the interactive map to select specific areas for analysis.
• View Recommendations: Receive tailored crop suggestions based on real-time data and AI analysis.

🛠️ Technologies Used

• Frontend: React.js, Leaflet for mapping, and TailwindCSS for styling.
• Backend: Django (not included in this repository).
• Machine Learning: Utilizes machine learning model connecting to the app using an API, similar to: https://github.com/Soilitical/Soilitical-AI-Api.

🤝 Contributing

We welcome contributions to Soilitical! If you have suggestions or improvements, please fork the repository and submit a pull request.

📞 Contact

For any inquiries or support, please reach out to [hasanabdelhady101@gmail.com].

Pictures From Soilitical:

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Thank you for using Soilitical! Together, we can cultivate a more sustainable and productive agricultural future.