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# Containerized App Exercise | ||
# Interview Review WebApp | ||
![WebApp Machine Learning build test](https://github.com/software-students-fall2023/4-containerized-app-exercise-rizzballs/blob/main/.github/workflows/event-logger.yml/badge.svg) | ||
![WebApp Subsystems build test](https://github.com/software-students-fall2023/4-containerized-app-exercise-rizzballs/blob/main/.github/workflows/lint.yml/badge.svg) | ||
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Build a containerized app that uses machine learning. See [instructions](./instructions.md) for details. | ||
## What is our WebApp? | ||
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Our WebApp is designed to help users practice and improve their interview skills. When prompted, users will speak into the microphhone and answer 3 generic interview questions. The app will record the interview and breakdown the answer given, giving a rating based on specified critera and words used. Then, it is compared to other user attempts to give a comparison and return statistics of the prompted user. | ||
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## Installation and Usage | ||
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In Progress | ||
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## Contributors | ||
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- [Andrew Huang](https://github.com/andrew0022) | ||
- [Kei Oshima](https://github.com/KeiOshima) | ||
- [Richard Qu](https://github.com/kingslayerrq) | ||
- [Ryan Horng](https://github.com/Ryan-Horng) |