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  Published Paper Details:

  Paper Title

  Authors

  Kunal Shinde,  Soham Panchal,  Omkar Sawant,  Girish Sanap

  Keywords

Technical Interviews, Video Conferencing, Real time coding environment

  Abstract


Technical interviews and professional networking are pivotal in today's competitive job market, yet both processes often face challenges such as inefficiency, lack of engagement, and inadequate skill assessment. This paper introduces TALENT MATCH, a dual-purpose platform that revolutionizes technical interviews while fostering professional networking among students, companies, and professionals. TALENT MATCH integrates a real-time coding environment with a video conferencing feature, enabling seamless face-to-face interactions during technical interviews. The platform is designed to streamline the hiring process by providing tools such as live code sharing, automated code evaluation, and performance analytics, ensuring a comprehensive assessment of candidates' technical abilities. Additionally, TALENT MATCH incorporates advanced monitoring features like plagiarism detection and tab-switching prevention to maintain the integrity of the interview process. By combining these functionalities, TALENT MATCH aims to create a more efficient, transparent, and engaging interview experience for both candidates and recruiters. The platform's unique combination of technical interview tools and professional networking features addresses critical challenges in the hiring process and workforce development. During one-on-one interview sessions, candidates are presented with real-time problems in their field of expertise, allowing recruiters to evaluate problem-solving skills, time management, and performance under pressure. Simultaneously, the networking component of TALENT MATCH facilitates global collaboration and knowledge exchange, creating a dynamic ecosystem for career growth. This paper discusses the architecture, design principles, and implementation of TALENT MATCH, along with its potential to transform both technical hiring and professional networking. Preliminary evaluations demonstrate its effectiveness in improving interview outcomes and fostering meaningful professional connections, making TALENT MATCH a versatile solution for the modern workforce.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2504657

  Paper ID - 282367

  Page Number(s) - f680-f687

  Pubished in - Volume 13 | Issue 4 | April 2025

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Kunal Shinde,  Soham Panchal,  Omkar Sawant,  Girish Sanap,   "TALENT MATCH AI", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 4, pp.f680-f687, April 2025, Available at :http://www.ijcrt.org/papers/IJCRT2504657.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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