Inspiration
Inspired by our search for summer internships, we decided to make a tool that would improve the interview skills of users, while practicing our full stack skills in a web application.
What it does
Q Interviews has a button on an HTML and CSS document that, when clicked, chooses a question from an array in a file called prompts.json. The user should then be able to use the media recorder through JavaScript to record their answer to the question. The .wav audio file would be sent to a python file, which uses Google's API to turn the audio into a text file. The text file should then be read by a sentiment analysis model, which scores the response on a scale from -1 to 1 based on how positive it is.
Challenges we ran into
One issue we are still facing is connecting the audio file from the frontend to the Python file in JavaScript.
What we learned We learned a lot more about
We learned a lot about JavaScript commands, and Natural Language Processing models as we worked with sentiment analysis.
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