System and method for conducting interviews with real-time scoring and reducing carbon emission
An Al-driven interview system addresses inefficiencies and high emissions by conducting one-on-one interviews with real-time scoring and customizable questions, ensuring fair and efficient candidate evaluations.
WO2026139737A1PCT designated stage Publication Date: 2026-07-02GUPTA MANJARI
Patent Information
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- GUPTA MANJARI
- Filing Date
- 2025-09-23
- Publication Date
- 2026-07-02
AI Technical Summary
Technical Problem
Traditional interview processes rely heavily on human interviewers, leading to inefficiencies, inconsistencies, and high carbon emissions due to resource-intensive video conferencing, and lack adaptability and depth in candidate evaluation.
Method used
An Al-driven interview system that conducts one-on-one interviews via a wireless medium, utilizing biometric verification, real-time scoring, and customizable questions to provide comprehensive assessments while minimizing data transfer and processing.
Benefits of technology
The system ensures fair, efficient, and environmentally sustainable candidate evaluations with reduced carbon footprint by automating interviews and providing detailed, real-time reports.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure IB2025059540_02072026_PF_FP_ABST
Abstract
The present disclosure provides a system 102A and a method 200 for conducting interviews with real-time scoring using Artificial Intelligence (AI) and reducing carbon emissions. The method 200 includes receiving 202 profile data of applicants and selecting 204 an applicant. Further, the method 200 includes determining 206 identity information based on the profile data and a token and validating 208 the identity information and the profile data. Further, the method 200 includes initiating 210 interview through wireless medium 102B to establish a one-to-one communication between an applicant device 102C and the system 102A and receiving 212 responses and answers. Further, the method 200 includes evaluating 214 in real-time, via an AI engine, attributes by comparing the attributes with preset answers and generating 216 a score and a report. Further, the method 200 includes providing 218 the report of the applicant to a plurality of users in real-time.
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