Airo Auto

This is the user interface upon clicking on it
Drop down menu to select what make, model, and year the user chooses
The custom wind resistance diagrams and indidvidual vehicle information box

Inspiration

We watched an F1 race in the parking lot adjacent to the Social Work & Smart Hospital building before the opening cermony and we were talking about F1 racing for about an hour. This gave us the idea of comparing the aerodynamics of different cars and how that would be an interesting topic for our project.

What it does

The website allows users to select two vehicles from a vast selection of over 300 options. Upon selection, the site presents an interface featuring two dropdown menus, enabling users to specify the make, model, and year of their chosen vehicles. Subsequently, the website offers a comparison of the aerodynamics and drag coefficients of the selected cars. As an added visual aid, the site employs a color-coded diagram to illustrate the varying degrees of wind resistance experienced by each vehicle. Red areas signify the highest wind impact, while yellow areas indicate a significant but less extreme impact. Green regions represent minimal wind influence. These visualizations are derived from calculations involving the frontal surface area of the cars and their coefficient of aerodynamic drag. These statistics and visual representations collectively provide valuable insights and information to users through the website.

How we built it

We used GitHub and Google Cloud to link our project elements together and allow for our collaboration. We used MongoDB Atlas as our database to hold the aerodynamics statistics. We then used a CSV file to extract the information from MongoDB and utilize in the streamlit file. We then used a python-based streamlit program to build our website. We additionally used the Matplotlib python library to create data visualizations of our coefficient of aerodynamic drag.