Volkswagen Classic

About Volkswagen Classic

A complete app for true fans of classic Volkswagen cars, developed with Flutter.

Key Features
● Extensive Model Catalog: Explore a detailed database of classic Volkswagen models. Each model includes information on production years, units manufactured, technical details and historical context.
● Image Gallery: Enjoy a large collection of high-quality images for each model, showing different versions, colors and details.
● Advanced VIN Decoder: Enter a 17-digit Vehicle Identification Number (VIN) to get precise information about your car, such as country of manufacture, assembly plant, model year and other specifications.
● Search by Chassis Number: Use the chassis number to identify the corresponding model and get an approximate production date, ideal for models before the standardized VIN.
● Interactive Plant Map: View Volkswagen manufacturing plants around the world on a map, discovering where iconic models were built.
● Multilingual Support: The app is available in several languages ​​for a more accessible experience:
○ Catalan
○ Spanish
○ English
○ German
○ French
○ Portuguese
● AI Integration: Google Gemini generative AI technology is used to enrich the content and provide dynamic and detailed descriptions.

How to Contribute
If you want to contribute to the project, you are welcome to open an "issue" to report bugs or suggest improvements, or submit a "pull request" directly to our GitHub repository (https://github.com/prosselloe/Volkswagen).

Credits
● Amics del Volkswagen de Catalunya (https://www.avwc.org/edatvw.php): Group of friends who have a common passion: their VW Beetles, founded in 1983.
● Amics dels Escarabats de ses Illes Balears (http://aeib.info): Community of enthusiasts of Air-Cooled models such as the Beetle, Karmann Ghia, T1, T2, etc.
● TheSamba.com (https://www.thesamba.com/vw/archives/info/bugchassisdating.php): A reference resource for classified ads, photos, events, forums and technical information about Volkswagen automobiles.
● Google Firebase & Gemini (https://firebase.google.com): The backend infrastructure and generative AI technology that powers the application.