AgriConnect

AgriConnect is an innovative platform designed to bridge the gap between agricultural workers, land providers, and buyers in the agricultural sector. The platform fosters a sustainable ecosystem, facilitating agricultural activities while offering educational resources.

🌟 Features

• Job Matching: Connects agricultural workers with job opportunities.
• Land Rental Management: Enables land providers to list and rent land for farming.
• Demand Aggregation: Buyers can request specific crops, driving production.
• E-Learning Resources: Provides educational content on sustainable farming.
• Profit Sharing Model: Ensures fair distribution of earnings among stakeholders.

📷 Screenshots

🛠️ Tech Stack

• Frontend: HTML, CSS, JavaScript
• Backend: Django
• Database: PostgreSQL
• Libraries/Frameworks: TailWind, Jazzmin

🚀 Installation & Usage

1. Clone the repository:

   git clone https://github.com/prakkhar03/Agriconnect.git

2. Navigate to the project folder:

   cd Agriconect

⚙️ Setting up the Development Environment

1️⃣ Create a Virtual Environment

python -m venv env

Activate the virtual environment:

• Windows:

  env\Scripts\activate

• Linux/macOS:

  source env/bin/activate

2️⃣ Install Dependencies

pip install -r requirements.txt

3️⃣ Configure Local Database

Modify the database settings in settings.py to use a local database (e.g., PostgreSQL, MySQL, SQLite).

4️⃣ Apply Migrations

python manage.py makemigrations
python manage.py migrate

5️⃣ Create a Superuser

To access the Django admin panel, create a superuser:

python manage.py createsuperuser

Follow the prompts to set a username, email, and password.

6️⃣ Run the Server

python manage.py runserver

The project should now be accessible at http://127.0.0.1:8000/.

To access the admin panel, visit http://127.0.0.1:8000/admin.

📌 Workflow

• User Registration: Sign up as a Worker, Land Provider, Buyer, or Learner.
• Dashboard Access: Users manage job listings, land rental, crop demand, or educational content.
• Crop Planning: The platform assesses geographical factors for feasibility.
• Agricultural Execution: Workers cultivate crops based on demand.
• Sales & Profit Distribution: Secure transactions and transparent earnings distribution.
• Community Engagement: Webinars, workshops, and a forum for knowledge sharing.

🎯 Goals

• Empower agricultural workers with job opportunities and training.
• Utilize unused land for productive agricultural purposes.
• Meet buyers' demands for fresh, locally sourced crops while ensuring sustainability.
• Educate individuals on modern agricultural practices.

🤝 Contributing

Contributions are welcome! Feel free to fork the repo and submit pull requests.

📞 Contact

• GitHub Contributors:
  • prakkhar03
  • prakhar-174
  • GarryMarkus
  • GreyCode07