aryasoni98 / AI-Interview

We are building an interface that helps users with a situation by the use of an AI that asks questions on the basis of a code which the aspirant has written, asked from a diverse pack of frequently asked coding questions. Then the AI asks the aspirant questions related to his code and some staple questions. At the end of this experience, the user receives his interview profile showing him his flaws in answering questions, his fluency, and his ability to handle the situation verbally. This can be done on various levels and be stored for future scrutiny by the user. We can also provide a growth curve that helps the aspirant to judge his progress.
https://ai-interview.aryasoni.tech/
MIT License
73 stars 24 forks source link
artificial-intelligence deep-learning flask machine-learning nodejs python reactjs

AI Interview System

About

Selection in big companies requires an aspirant to be proficient in coding as well as fluent in his words. The latter sometimes becomes a major anchor for various students with the ability to achieve high otherwise. This is a problem that our current interface looks at resolving. We are building an interface that helps users with a situation by the use of an AI that asks questions on the basis of a code which the aspirant has written, asked from a diverse pack of frequently asked coding questions. Then the AI asks the aspirant questions related to his code and some staple questions. At the end of this experience, the user receives his interview profile showing him his flaws in answering questions, his fluency, and his ability to handle the situation verbally. This can be done on various levels and be stored for future scrutiny by the user. We can also provide a growth curve that helps the aspirant to judge his progress.


AIM : We developed an AI interview emotion recognition platform to analysis the emotions of job candidates.


The tool can be accessed from the WebApp repository, by installing the requirements and launching WebApp/app.py.


Technologies

image


Methodology

Our aim is to develop a model able to provide a live sentiment analysis with a visual user interface.Therefore, we have decided to separate two types of inputs :


Video Analysis - Read More . . .



Audio Analysis - Read More . . .



Open in Gitpod


How to use it ?

To use the WebApp ( Server Side ):

Install PyAudio Window , Mac

To use the Application ( Client Side ):

The web app has been Dockerized ( Application && WebApp Folder )



Github Discussions

### Project Member ❤️

Arya Soni

Admin

Shubhangi Gupta

Member
--- ### Contributors 🌟 #### Thanks goes to these wonderful people ✨✨: