Inspiration

Having busy students have one less thing to be worry about in their student life.

What it does

Summit Sync takes in .wav audio files and turns it into readable files, which are then summarized for the users needs.

How we built it

We used IBM's Watson X Speech to Text API for our Natural Language Model in our backend. For our frontend we used HTML, CSS, and JavaScript to build our user-interface, with mySQL as a tool for databases.

Challenges we ran into

We attempted to implement mySQL for our databases, however due to hardware constraints we were unable to fully implement the use of databases in the project.

Accomplishments that we're proud of

We were able to learn to work with AI models and optimize them for our needs. With that, we also gained knowledge in UI design and a taste of working with databases in our project.

What we learned

All of our team was working on new foundations of their respective languages with little to no experience in these languages.

What's next for Summit Sync

We plan to fully optimize Summit Sync to be able to take any kind of audio file or video file for use. We also plan to fully develop our backend databases for our users. We plan to keep doing updates for our user interface as we go on with Summit Sync.

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