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.

Introduction

There has been a significant increase in demand for smooth, interactive video communication platforms, especially for professional interviews and remote assessments. The Video Calling Interview Platform aims to offer a comprehensive, secure, and user-friendly solution using modern technologies like Next.js, TypeScript, Convex, and Clerk. It supports features such as high-quality video calls, screen sharing, recording, authentication, and authorization to streamline the interview process while prioritizing data security and user experience.

Key Features:

• Real-time, low-latency video communication with advanced video quality optimization.

• Secure data management and storage with encrypted authentication.

• An intuitive, responsive UI built with React.js and Tailwind CSS.

• Tools for interview scheduling, interactive chat, session recording, and customizable interview workflows.

• Integration with third-party APIs for calendar syncing, notifications, speech-to-text transcription, and file sharing.

• Strong emphasis on privacy and security, including GDPR compliance and end-to-end encryption.

Literature Review Highlights:

• Existing video platforms like Zoom and Skype lack interview-specific features and often suffer from poor video quality and user experience.

• Real-time communication and feedback significantly improve candidate performance.

• Human-centered UI design enhances usability and accessibility, reducing anxiety and improving engagement.

Methodology & Development:

The platform focuses on real-time data processing, robust validation testing, security, and scalable cloud backend architecture. It uses WebRTC for video streaming, employs aggressive video compression, and supports multiple devices.

Challenges Addressed:

The platform aims to overcome issues such as network instability, user unfamiliarity, limited accessibility for underrepresented or technology-constrained groups, and recruitment inefficiencies caused by poor video interview systems.

Conclusion

The Video Calling Interview Platform is a simple and effective solution to the employment requirements of the new. With its advancedfeaturesandsimpletouseinterface,itaimstomakethe interview a walkover for both the candidate and interviewer. The platform\'s simplicity, security, and integrity are the topmost priorities, and the process from appointment scheduling to providing feedback after the interview is smooth. Its effectiveness also lies in prioritization of user experience. Its usability and interactive UI and its facility to let the candidate and interviewer easily alternate devices makes it user-friendly. Its smoothvideocalling,screen-sharingfunctions,recordingfacilities, and live chat make it a real true and professional environment for interviewing. Aside from this, data personalization and data handling functionalitiesarealsoincludedinthesystem.Itwillbeveryeasy for interviewers to conduct and administer interviews, and candidates will be presented favorably with recommended suggestions based on past performance and action. Personalizationincreasestherecruitmentprocessandexperience for everyone. Thesystemalsoallowscollaborationandcommunicationamong interviewers and the candidate. With its integrated chat feature, screen sharing, and live feedback, the system supports proper communicationandproperconductoftheinterview.Thefeatures support proper communication and participatory interviewing process. Lastly,theVideoCallingInterviewPlatformisagreatinnovation of video employment interviews on a secure, quick, and easy platform for recruitment. With its integration of video calling, livefunctionality,andquickprocessingofdata,theplatformcan potentially provide an end-to-end and interactive interviewing process that optimizes hiring and candidate satisfaction.

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Copyright

Copyright © 2025 Ananya Tyagi, Divyanshu Verma, Shubh Mishra , Ms. Rashmi Bhardwaj. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.