Matador dealership helper

Inspiration

Despite being beginners, we decided to take on the Matador challenge and compete with the big fishes. The idea sounded fun and it was a good opportunity to learn some basic frontend and maybe experiment with using AI to help with decision making.

What it does

There are essentially 3 parts:

Graphic User Interface to chat with a chatbot, which will gather your preferences on cars (Color, Years, Makes, Number of seats).
Interacion with chatGPT using the openAI API, which will interpret the text using natural language processing, and format the preferences.
A selection algorithm takes the preferences as parameters and selects the best cars for the user ## How we built it We used python mainly since we used the Flask framework for the basic web development. The algorithm and API interaction was also done in basic python. We used html and css for the website ## Challenges we ran into We had no idea how to use the openAI API and APIs in general, so that was something that took a lot of time. Another problem was getting the API to format the parameters properly. It was our first time doing web development as well as using Flask. ## Accomplishments that we're proud of In summary, we basically knew nothing, and did something! ## What we learned Flask, more python, API interaction. ## What's next for Matador dealership helper We would like to improve how we extract the user's preferences from the natural text. There are many bugs we would have liked to remove if we had had more time.