NetClouder

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  Desktop Site

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  Mobile Site

Inspiration

Nanosecond trading

What it does

Analyze market sentiment

How we built it

With machine learning and web scraping. We also used Wix to build the front end. Meanwhile we used Cohere for the natural language processing.

Challenges we ran into

Getting training dataset was the hard part. We also had trouble connecting the frontend with the backend.

Accomplishments that we're proud of

Accurate prediction

What we learned

Getting data is the hardest part (API).

What's next for NetClouder

Creating an API for the backend and connecting the front-end with the backend.

Built With

• cohere
• domain.tech
• python