What it does
This project aims to generate detailed interview question prompts based on the user's input of job title, description, and require job skills. It can take a file of the user's verbal answer, turn it into text, and process it to be analyzed.
How we built it
We used Google Cloud's Speech-To-Text and Storage API to create and store transcript. We also used Cohere AI's API to create a prompt and generate interview questions
Challenges we ran into
We ran into trouble creating our API endpoints and creating a consistent Cohere prompt that will give us good interview questions.
Accomplishments that we're proud of
We're proud of being able to work together to figure out how to use technologies that we have never used before.
What we learned
We learned new technologies, such as Google Cloud's APIs, Cohere's APIs, and building a web application using Flask
What's next for Spinter
We hope to make it work and refine it further.
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