dc.contributor.author	Koonce, TJ	en
dc.contributor.author	Ranawat, Parth	en
dc.contributor.author	Roy, Ayush	en
dc.contributor.author	Stapor, Thomas	en
dc.contributor.author	Thanki, Riddhi	en
dc.contributor.author	Vithalani, Srujan	en
dc.date.accessioned	2023-12-10T21:28:39Z	en
dc.date.available	2023-12-10T21:28:39Z	en
dc.date.issued	2023	en
dc.description	This project was developed following the Scrum Agile framework. As we completed each Sprint of work we produced a report detailing what happened during the sprint. They are provided along with a final report and video presentation talking about the project. GitHub Repository: https://github.com/parthranawat/inclusive-hire	en
dc.description.abstract	We propose InclusiveHire, which is an unbiased technical interviewing platform. It is a system that maintains the basic functionality of other industry standard video calling tools like Zoom or Microsoft Teams with added functionalities to maintain candidate anonymity to the person giving the interview. We protect the candidates identity by modulating the voice to the interviewer as well as preventing the interviewer from seeing the candidate through their camera. The candidate is able to hear the interviewer in their normal speaking tone as well as share their screen to perform any technical activities required by the interview. Our goal with this system was to address hiring biases that may occur when the interviewer could potentially make a biased decision based on the physical appearance and sound of the candidate.	en
dc.description.sponsorship	CS 5934 Capstone.	en
dc.identifier.uri	https://hdl.handle.net/10919/117173	en
dc.language.iso	en	en
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 International	en
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	en
dc.title	InclusiveHire - Unbiased Technical Interviewing Platform	en
dc.type	Software	en

InclusiveHire - Unbiased Technical Interviewing Platform

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