We realized that some leaders can improve their public speaking skills .
What it does
Using the AssemblyAI API, our application allows users to upload audio files, and those audio files are analyzed for sentiment, filler words, and speaking speed. This analysis is then presented to the user in a user-friendly, easy-to-read format, so users can see where they can improve in their speeches.
How we built it
We developed the front-end using React.js, Sass. We developed the backend using Flask, SQLAlchemy, and implemented the AssemblyAI API in the backend.
Challenges we ran into
We struggled with figuring out how to output the analyzed text to the user. We also struggled with figuring out how to call the API.
Accomplishments that we're proud of
We're proud we were able to successfully call the API, and allow the user to upload audio files into the application to have them analyzed.
What we learned
We learned how to ensure that the front end and back end are compatible.
What's next for UmmLess.tech
A feature that allows users to see their progress and statistics over time for past speeches.