CleanMiles

educating users about ecological fuel and fuel economy

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Inspiration

When researching fuel economy, we immediately saw the ramifications of not fully understanding it. It cannot be understated how much the environment would benefit from people knowing about the fuel economy of their cars.

What it does

On the Analysis page, given a prompt our AI model can parse information on the fuel economy from 2021 to 2025 and present that information to the user in a readable fashion using simple text, graphs, and maps.

How we built it

For the back end we utilized MongoDB and NoSQL to process the data and train the AI model. On the front end we utilized VSCode with React Native to put together our app pages and create a cohesive experience for the user.

Challenges we ran into

Given the format of the PDFs from Toyota with the information on fuel economy, it was challenging to filter, parse, and collect the data into MongoDB Compass. We overcame this challenge by analyzing the API and utilizing online research and tutorials.

Accomplishments that we're proud of

We're proud of the interactive features our app provides for users. The ability to easily move from page to page and an adaptive AI search feature allows users to get the most out of their fuel economy research.

What we learned

We better learned how to customize React Native to fit our needs and how to create our own components. We also learned how to use NoSQL with MongoDB to put together the data to fine tune the AI model.

What's next for CleanMiles

CleanMiles can become more elaborate with a finer tuned AI model and cleaner user interface. Up next for the front end would be animations to keep users involved. We could also have the preferences of the user save when they come back for another session.

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