Inspiration
We want to provide players with a better experience while waiting for a game match.
What it does
Provide players with estimated waiting time for a game match.
How we built it
We used python as back end to train the model and JS as front end to create a suitable interface.
Challenges we ran into
Allow users to use their own dataset to get a customized model.
Accomplishments that we're proud of
We provide a relatively accurate estimated waiting time.
What we learned
We applied our knowledge of deep learning, webpage design, and programming.
What's next for Behaviour WaitTime Estimated
We plan to make some modifications of the model and use more data to train the model to make it more accurate and more dynamic.
Log in or sign up for Devpost to join the conversation.