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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