Visionary-Voice: AI-Powered Interview Preparation and Analysis Tool

Abstract

The paper proposes an AI-based multimodal analysis system which can provide an aid to the individual in improving the formal communication skills, in gaining self-confidence and control in non-verbal expressions among students and jobseekers. The proposed system uses various modules like resume-based question generation, speech-to-text conversion and computer vision-based facial analysis, to evaluate verbal clarity, pacing, and other communication-based parameters by processing the recorded audio data through transform based-models for more precise translation and proficiency scoring. The recorded video frames are examined through convolution neural networks to evaluate visual presence and behavioural clues. The outputs from all sections are collated to create a detailed and customized feedback report for focusing on strengths, weaknesses and probable ways of progress. The data-based testing indicates that the system can identify the communication gaps and provide significant guidance, which can assist the user in enhancing both verbal as well as non-verbal communications required for interview preparedness. Instead, the proposed system is scalable and serves as an unbiased and skill-building chance for people in academic and career development processes.