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AI-Based Body Language Analysis for Interview Feedback– AI Posture View

K. Swetha Sailaja*1, Cheekati Shleshitha *2, Garine Nagasmitha*3, Lakum Tharun*4
*1 Assistant Professor of the Department of CSE (AI & ML) of ACE Engineering College, India.
*2,3,4 Students of Department of CSE (AI & ML) of ACE Engineering College, India.

ABSTRACT
Body language is a vital communication component, particularly in job interviews, where non-verbal cues significantly influence a candidate’s perception and evaluation. This project proposes an AI-powered system that analyzes candidates’ body language during interviews to deliver structured feedback. Leveraging computer vision and machine learning, the system evaluates facial expressions, gestures, posture, and eye contact to assess confidence, engagement, and professionalism. By processing video inputs, it extracts behavioral patterns and generates personalized, data-driven insights to help candidates improve their non-verbal communication. The system benefits job seekers, HR professionals, and training institutions by offering unbiased, automated feedback to identify strengths and areas for improvement—promoting more effective interview preparation and decision-making.
Keywords: Body Language, Interview Feedback, Machine Learning, Computer Vision, Posture Analysis, Facial Expression Recognition.