StationsCarburants - Your partner for saving on automotive expenses

StationsCarburants is a comprehensive web platform developed in Django that helps French motorists save on car-related expenses. The site offers several integrated services to optimize fuel and maintenance costs.

Main services

1. Fuel price comparison

The core of the site allows users to find the cheapest gas stations near them. Users can:

• Search by city, department or region
• Compare prices of all fuel types (Diesel, SP95, SP98, E10, E85, LPG)
• View stations on an interactive map
• See prices updated daily
• Filter by gas station brand

2. Technical inspection

A dedicated section to compare technical inspection center prices:

• Search by geographic location
• Compare rates between centers
• Detailed information on each center
• Potential savings of up to €40 on an inspection

3. Electric charging stations

For electric vehicle owners:

• Locate charging stations
• Interactive map of charging points
• Information on station types and their features
• Trip planning with charging

4. Carpooling

Section dedicated to carpooling:

• Locate carpooling areas
• Interactive map of meeting points
• Information on available facilities
• Promotion of shared mobility

Technical features

User interface

• Responsive design adapted for mobile and desktop
• Interactive maps with geolocation
• Advanced search with multiple filters
• Intuitive navigation by region/department

Data and updates

• Database updated daily
• Integration of official station data
• API for automatic price retrieval
• Cache system to optimize performance

Technical architecture

• Developed in Django (Python)
• PostgreSQL database
• User interface with Tailwind CSS
• Asynchronous task system with Celery
• Containerized deployment with Docker

Impact and benefits

StationsCarburants helps French motorists to:

• Save several euros on each fuel fill-up
• Reduce technical inspection costs
• Facilitate transition to electric vehicles
• Promote shared mobility through carpooling
• Make informed decisions through price comparisons

Technologies used

• Backend: Django, Python, PostgreSQL
• Frontend: HTML5, CSS3, JavaScript, Tailwind CSS
• Mapping: Interactive maps integration
• Deployment: Docker, Docker Swarm
• Asynchronous tasks: Celery
• Web server: Gunicorn

This project demonstrates my ability to develop complete web applications with robust architecture, modern user interface and efficient real-time data management.