Inspiration
Our original inspiration was to create an app that can help you create parlays for NBA
What it does
Our app uses Databricks ai to filter and select key words that a user enters from a Basketball api to provide stats and information about the player
How we built it
We used python for the backend, html and css for the front end, and we used Databricks ai and llama index.
Challenges we ran into
We weren't able to figure out what Databrick ai did.
Accomplishments that we're proud of
We are proud that we were able to correctly use Databricks to filter out information from a large set of data.
What we learned
We learned how to use Databricks and Llama index
What's next for NBA Chatbot
Live game updates and player stats.
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