CodeSync: A Coding Interview Platform

Abstract: With the beginning of the digital revolution era, successful communicationandbusiness were a pre-requisite for the majority of professional and business deals. The Video Calling InterviewPlatformbasedonNext.js,TypeScript,Convex,andClerk isarobustsystemthatprovidesvideocalling,screensharing,screen recording, and robust authentication and authorization capabilities. The platform utilizes client and server sides for real-time communicationwitherror-freedelivery, enablinguserstorecordand perform interviews, share screens, and access interview insights securely. The platform ensures smooth handling of data and navigation through server activities and dynamic routing, thereby providinganinter activeuserexperience.TheintegrationofConvex gives better backend data management, like easy handling of user sessions, recordings, and interview data storage. Clerk also offers secureauthenticationandauthorization,safeguardingsensitiveuser data and maintaining confidentiality of data. Platform architecture involves facilitating training dropout for the ease and precision of making video calls and screen sharing, which results in controlled and natural interaction. Besides improving the quality of the video call, this also improves the utilization of the resources in providing data throughout communications to make sure there is minimal latencyandoverallperformance.Large-scaletestingandverification affirm improved performance of the platform in ensuring high- quality video calls that is an optimal solution for interactive and dynamic experience in interviews. Also, the fact that TypeScript is used in the implementation ensures type safety, reducing runtime errorsandalsomakingthe codeeasier tomaintain.Theutilizationof Tailwind and Shadcn is among the visually neat and clean user interfaces that further ensure usability as well as prettiness of the platform. Lastly, Video Calling Interview Platform is a well- functioning organizer for conducting efficient and lively interview processes in data trustworthiness and users' privacy.