Inspiration

As student or professional, the reader always curious about content and price.

What it does

The Web App predicts the price of the book by taking some data.

How we built it

We built the dataset and programmed it to the ML which predicts the price and show to the user in HTML page format.

Challenges we ran into

Parsing the data from user to backend Integration of front end and backend Predicting the result

Accomplishments that we're proud of

We built ML successfully by using dataset Successfully built the responsive page using html, js and css

What we learned

Integration front end and back end Programming according to dataset using ml.

What's next for Guess The Price!

Leaning

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