MUMBAI, India, Oct. 12 -- Intellectual Property India has published a patent application (202621101506 A) filed by Dr. D. Y. Patil Institute Of Technology, Pimpri, Pune -; and Dnyaan Prasad Global University, School Of Technology And Research on August 22, 2026, for Ai-Based Smart Interview Platform For Automated Candidate Assessment.
Inventors include Dr. Pallavi Asthana; Abhijeet Sawant; Pratik Kadnor; and Neel Malpure.
The application for the patent was published on October 09, 2026, under issue no. 41/2026.
Abstract: The present invention proposes an advanced AI-based smart interview platform specifically designed to automate, streamline, and enhance the recruitment process while simultaneously supporting candidate preparation. Unlike conventional interview systems that rely heavily on human evaluators, this platform integrates multiple artificial intelligence modules to deliver a holistic and unbiased assessment. The system incorporates Natural Language Processing (NLP) for understanding textual responses, Speech-to-Text (STT) and Text-to-Speech (TTS) engines for seamless audio interaction, Computer Vision for analyzing facial expressions and body language, and Reinforcement Learning for adaptive questioning strategies. Candidate responses are captured through synchronized audio and video inputs, enabling the platform to evaluate fluency, coherence, technical knowledge, confidence, posture, and eye contact in real time. By combining verbal and non-verbal cues, the system ensures a comprehensive evaluation of communication skills and professional readiness. The platform dynamically generates context-aware questions, calculates performance scores using standardized metrics, and provides instant personalized feedback tailored to each candidate’s strengths and weaknesses. This invention addresses critical challenges in recruitment such as evaluator bias, inconsistency in scoring, and the inability to scale interviews across large candidate pools. It offers organizations a reliable, data-driven solution that ensures fairness, transparency, and efficiency in hiring decisions. At the same time, candidates benefit from actionable insights that improve their confidence and readiness for future interviews. By merging cutting-edge AI technologies with practical recruitment needs, the invention represents a transformative step toward intelligent, scalable, and equitable talent acquisition systems.
Disclaimer: Curated by HT Syndication.
