Inspiration:
This project was heavily inspired by the meeting of 3 college students who want to do something outgoing to enhance the foundation of their knowledge and build a path toward their future.
What it does:
We used machine learning technology to clean the graph up and forecast the potential future with the given numbers. We used the cleaned-up graph to gather information about how many kws were produced per hour and the total per day; we used these numbers to produce the conversion efficiency per day and per hour of whatever day was inputted.
How:
Through co-lab and visual studios for the website to be made through a local local
Challenges we ran into
We encountered many problems, especially since we've never made a website. To overcome these problems, we had to watch many YouTube videos to learn how to do things more efficiently and do some things in general. The biggest problem we couldn't find out, however, is that we couldn't transfer the information from our code onto the website, and we never did figure it out.
Accomplishments that we're proud of
- I'm glad we've learned how to make a website, format, and enhance how we write code. I'm also proud that it's the first project I've done as a university student
- I Definitely got more in-depth when it comes to machine learning
- learned how to forecast potential outcomes in the future using machine learning
- Refined use of Python and HTML
- Enhanced problem-solving techniques ## What we learned I've done much more coding than ever regarding Python and HTML; I feel like I've really enhanced the fundamentals and so on with real experience. As well as everything listed in the accomplishments ## What's next for Engie Challenge Problem We've cleaned up the graph and started the website. The only things left are inserting the graphs into an array and putting those numbers into formulas. The website is set up to the point where it's ready for all information; the only problem we had was inputting that information into the website.
Built With
- co-lab
- html
- python
- visual-studio
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