FuelRoutePlanner is a Django-based API that calculates optimal driving routes across the USA. It identifies cost-effective fuel stops along the route based on fuel prices and the vehicle's range, helping users save on fuel costs while planning long-distance trips.

• Calculates optimized driving routes using the OpenRouteService API.
• Identifies fuel stops along the route based on cost-effectiveness.
• Estimates total fuel costs based on distance, vehicle efficiency, and fuel prices.
• Accepts start and end locations within the USA.

• Python 3.x
• Django
• requests library (for handling API requests)
• An API key for OpenRouteService (for routing and geocoding)

First, clone the repository to your local machine:

git clone https://github.com/Ahtaxam/FuelRoutePlanner.git
cd FuelRoutePlanner

It’s recommended to use a virtual environment to manage dependencies:

python3 -m venv venv
source venv/bin/activate  # On Windows, use `venv\Scripts\activate`

Install all the required dependencies using pip:

pip install -r requirements.txt

Create a .env file in the project root to securely store your API keys. Add your OpenRouteService API key like so:

OPENROUTESERVICE_API_KEY= your_api_key_here
OPENROUTESERVICE_COORDINATE_URL= api url to get coordinated
OPENROUTESERVICE_ROUTE_URL = api url to get routes

Start the Django development server:

python manage.py runserver

You can test the API by sending POST requests to the /optimize-route endpoint with JSON input specifying start_location and end_location:

{
    "start_location": "New York, NY",
    "end_location": "Los Angeles, CA"
}

Some potential future improvements to the project include:

• Real-time fuel price integration.
• Enhanced mapping services for more accurate route details.
• User accounts for saving routes and setting fuel preferences.

This README.md includes all the necessary information for a user or developer to understand the purpose of the project, install it, and run it locally. Let me know if you need more details or any additional sections!