EV Charging Station Maintenance Recommender

• 

  User Interface

Inspiration

We aspire to create a better future for the environment, and part of that aspiration is to make EV more reliable and appealing to the general population. With this project, we hope to change the view of both EV owners and companies to that of a more reliable system with less downtime with proper care and maintenance scheduling.

What it does

Our project takes in data in a csv file, parses that data, and use it to recommend a maintenance schedule so that EV charging stations everywhere can remain operating and run with little to no downtime.

How we built it

We built our project in Jupyter Notebook using Google Colab, this allowed us to collaborate on a single piece of code in real time. We depend on Python's extensive libraries to accomplish our goals, including the Graphical User Interface to help with user experience

Challenges we ran into

We had trouble deciphering what the prompt was asking us to do, so we decided to run with an interpretation of the mission statement. We hope that our interpretation is correct and that the project we built can be used by DataPigeon. We also were not sure on how to implement the scoring system, however, after a few trials we believed we ended up with a comprehensive scoring method.

Accomplishments that we're proud of

Creating the Graphical User Interface is a new thing for us, which means that it was a challenge to design and implement it. We also had to figure out the maintenance schedules, which took a lot of variables and weighting attempts. Although simple, we are also proud of the way we implemented our scoring system, we believe its fair in predicting when a EV charger requires maintenance.

What we learned

We learned that Python is a great tool for prototyping, as the extensive libraries can be very helpful in reducing the amount of time we need to code everything from scratch.

What's next for EV Charging Station Maintenance Recommender

We want to eventually make the system more flexible to work with more file types and inputs for better user experience.

Built With

• colab
• csv
• gradio
• pandas
• python