A comprehensive fleet management system built with Next.js frontend and Django backend.

eye-fleet/
├── frontend/          # Next.js frontend
│   ├── src/
│   │   └── app/      # Next.js pages and components
│   └── package.json
└── backend/          # Django backend
    └── eyefleet/
        ├── manage.py
        └── eyefleet/  # Django settings

1. Navigate to the backend directory:

   cd backend/eyefleet

2. Install Python dependencies:

   pip3 install django djangorestframework django-cors-headers

3. Apply database migrations:

   python3 manage.py makemigrations
   python3 manage.py migrate

4. Start the Django development server:

   python3 manage.py runserver

   The backend will be available at http://localhost:8000/docs/

1. From the project root directory, install Node.js dependencies:

   npm install

2. Start the Next.js development server:

   npm run dev

   The frontend will be available at http://localhost:3000

The fleet-vision page includes an AI assistant powered by Gemma-2b through Ollama. Follow these steps to set it up:

First, install Ollama on your system:

curl -fsSL https://ollama.com/install.sh | sh

After installing Ollama, pull the Gemma-2b model:

ollama pull gemma2:2b

Start the Ollama server in a terminal:

ollama serve

The Flask server acts as a bridge between the frontend and Ollama. Set it up as follows:

1. Install Python dependencies:

pip install -r requirements.txt

2. Start the Flask server:

# From the project root directory
python3 ollama_api/generate.py

The Flask server will run on http://localhost:5328 and provide the following endpoint:

• POST /ollama_api/generate: Handles chat messages and communicates with Ollama

To verify everything is working:

1. Ensure Ollama server is running (default: http://localhost:11434)
2. Ensure Flask server is running (http://localhost:5328)
3. Navigate to the fleet-vision page in your Next.js app
4. Try sending a message in the chat interface

If you encounter issues:

1. Check if Ollama server is running:

curl http://localhost:11434/api/tags

2. Check if Flask server is running:

curl http://localhost:5328/ollama_api/generate -X POST -H "Content-Type: application/json" -d '{"messages":[{"role":"user","content":"Hello"}]}'

3. Common issues:
   • "Network Error": Make sure both Ollama and Flask servers are running
   • "Model not found": Run ollama pull gemma2:2b again
   • CORS errors: Ensure Flask server is running with CORS enabled

• Add new vehicles with detailed information
• View fleet overview with statistics
• Interactive map showing vehicle locations
• Comprehensive vehicle list with status indicators
• Dark mode support
• Responsive design for all screen sizes

add an asset:(http://localhost:8000/api/maintenance/assets/)

To run both servers for development:

1. Start the Django backend:

   cd backend/eyefleet
   python3 manage.py runserver

2. In a new terminal, start the Next.js frontend:

   npm run dev