Abstract – This study details the conception, creation, and assessment of a cutting-edge virtual interviewing tool intended to transform the interview procedure for a range of use cases, such as college applications and employment interviews. Using state-of-the-art technologies like Chat GPT, Node.js, React.js, AWS, and ASP. Net, C#, and Mongo DB, the application helps to cut down on administrative costs while streamlining the interview process and improving applicant experience and assessment. Due to the COVID-19 epidemic and the resulting rapid evolution of recruiting and recruitment procedures, virtual interview solutions have become necessary in order to support distant work and social distancing measures. Because of this shift, hiring procedures now use artificial intelligence (AI) and natural language processing (NLP) technology to reduce human bias and enable automated applicant evaluation. The online conversation Efficiency and user experience are given top priority in the application built for this project. Using an intuitive UI and smooth communication, applicants may participate in interactive interviews from the comfort of their homes. Both interviewers and candidates may save a significant amount of time by using the program to automate operations like arranging interviews, choosing questions, and rating candidates. An organized methodology is used in the development process, which includes phases for requirement analysis, design, development, testing, deployment, and assessment. User expectations and regulatory compliance are met by the program through incremental changes made possible by usability testing and stakeholder input gathering. The app’s ability to streamline conventional interview procedures and produce cost savings, greater applicant satisfaction, and efficiency are what make it significant. By demonstrating how cutting-edge technology are integrated and resolving legal and In light of ethical concerns, this study advances the domains of educational technology and staffing, opening the door for new developments. Keywords – The virtual interviewing tool utilizes Chat GPT for AI-driven interactions, Node.js for server-side operations, and React.js for a dynamic user interface. AWS provides scalable cloud infrastructure, while ASP.NET and C# manage application development and business logic. Mongo DB is the database solution, storing applicant data and interview information. Together, these technologies streamline the interview process, reduce administrative costs, and enhance applicant experience and assessment accuracy.