Lutex / AsyncTalent

Resume scoring algorithm and video-based interviewing web app

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AsyncTalent

Using artificial intelligence to create next level talent recruiting software.

Modules

Screen, Interview, and Manage.

Screen allows you to upload resumes and the analysis engine scores them. Interview lets you select a set of interview questions and generate a unique interview ID for candidates to complete video interviews. Manage helps you view interview scores and score candidate interviews yourself. You can also track the stage a candidate is in the process.

Screen

screen.php - Main module view. You can upload files with resumes here. screen_calc.php - Unpacks the uploaded file. Executes algorithm. Visualizes results.

Interview

create.php - Select from a bank of interview questions (QuestionBank.csv). Submit interview. create_calc.php - Uploads interview info to the server. Generates a unique ID. create_confirm.php - Confirmation page with all interview information.

Manage

view_feedback.php - View an overview of interview results. Has a "View Details" button for each interview. interview_details.php - Loads when "view details" is clicked in view_feedback.php. Shows individual interview score and allows you to give your own score. Giving your own score updates the table in the DB and the overview fields update accordingly.

Login

login.php - Where the user enters login credentials to be taken to the dashboard. This is just the form UI. login_process.php - The creds are compared to users in the DB. Backend process before actually logged in.

Candidate Interview

enter.php - Where the candidate enters the unique interview ID and passcode. This is just the form UI. enter_process.php - The creds are compared to the interviews in the DB. Backend process before actually taken to interview. enter_interview.php - Splash screen before the interview. Has the directions. questions_int.php - Video interview sceen. Captures transcript. questions_int_calc.php - Text analysis of the interview transcript. questions_end.php - End screen when all interview questions are complete.

About

Resume scoring algorithm and video-based interviewing web app

License:MIT License


Languages

Language:HTML 46.2%Language:JavaScript 38.5%Language:PHP 8.7%Language:CSS 6.7%