MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202621063078 A) filed by Prashant Sheshrao Titare; Prajakta Santosh Lagad; Harshita Manish Kolhe; and Srushti Nilesh Kurhade on May 19, 2026, for Ai Powered Virtual Reality Interview Platform With Real Time Stress Monitoring.
Inventors include Prashant Sheshrao Titare; Prajakta Santosh Lagad; Harshita Manish Kolhe; and Srushti Nilesh Kurhade.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: In today’s highly competitive job market, interview performance has become a critical factor influencing career o apnpdo rtupronfiteiesssional growth. Candidates are not only evaluated on their technical knowledge but also on their communication skills, confidence, and ability to handle pressure in real-time situations. However, a major challenge faced by most individuals is the lack of exposure to realistic interview environments, which leads to anxiety, nervousness, and poor performance. Traditional methods of interview preparation, such as theoretical learning, self-practice, and mock interviews, are often insufficient as they fail to replicate the actual interview setting and do not provide continuous or personalized feedback. Additionally, these methods are dependent on human availability and lack mechanisms to analyze psychological factors such as stress and confidence levels. To address these challenges, this project presents an advanced Virtual Reality based intelligent interview simulation system integrated with Artificial Intelligence and physiological sensing technologies. The proposed system creates an immersive virtual interview environment that closely mimics real-world scenarios. By using VR technology, users can experience realistic interview conditions, which helps in reducing fear and improving confidence through repeated exposure. The system incorporates an AI-driven conversational model that generates interview questions and evaluates user responses. This enables intelligent interaction between the system and the user, ensuring that responses are analyzed based on relevance, accuracy, and communication effectiveness. In addition to response evaluation, the system integrates a biometric sensing unit, specifically a heart rate sensor, to monitor the user’s physiological signals during the interview.ls Tahree suese sigd ton adetect stress and anxiety levels in real time, providing deeper insights into the user’s emotional state. Based on the analysis of user responses, the system dynamically adapts the difficulty level of questions, creating a personalized and adaptive interview experience. For instance, if the user performs well, more challenging questions are presented, whereas poor performance trigger supportive or moderate-level questions. This adaptive mechanism enhances learning efficiency and ensures gradual skill improvement. Furthermore, the system records user performance metrics such as response time, accuracy, confidence level, and stress indicators, and generates a comprehensive performance report. This feedback helps users identify their strengths and weaknesses, enabling targeted improvement in communication skills, confidence, and problem-solving ability. The system operates as a standalone, cost-effective, and scalable solution that eliminates the need for physical interview setups and human interviewers, making it accessible for students, job seekers, and professionals at any time. The proposed VR-based interview simulation system offers an innovative approach to interview preparation by combining immersive virtual environments, intelligent AI-based evaluation, and real-time biometric analysis. It aims to help users improve their performance, reduce anxiety, and enhance their overall employability. This approach aligns with the growing adoption of virtual and intelligent training systems and holds potential for future integration into educational platforms, corporate training programs, and smart skill development systems.
Disclaimer: Curated by HT Syndication.
