PDI Fuel is our answer to Toyota's challenge. We have created an app that helps Toyota employees analyze the fuel efficiency of Toyota models from 2021 to 2025. The app has categories incorporated into it. The first category is the year and the second category is the car model. Each model has an average fuel efficiency and specific data for each of their respective trim levels. We have created this app using Swift as language and XCode as IDE. We extracted the data from the fuel efficiency sheets given to us and wrote a code which sorted and grouped data by year, model, and trim. Then we wrote code to calculate the average across all trims of a model and display it. We also added images of each of the models. One major challenge that we ran into was that we had difficulties extracting the data from the pdf as it had a lot of graphics ands it wasn't as simple as using a 'for loop' and searching for 'Toyota' and 'newline'. We solved the issue by manually extracting the data from the file. We're proud of being able to finish this project using coding languages that we didn't know previously. The fact that this is our group's first major hackathon, as well as the fact that none of us are CS majors, this event was a real challenge for us. We're very happy that we were able to submit this project today. We learned how to create an app using Swift and X-code. We also learned new problem solving skills for coding. With our majors, our group is better specialized in hardware, so we weren't experienced in software problems and how to solve them. Now we can say that we are much better at problem solving a large code.

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