EmoConfident Interviewer :An AI Mock Interview Evaluator

Abstract

Abstract: Interviews hold great significance for candidates as it's the moment when their hard work is put to the test in hopes of achieving their desired and successful life results. It plays a crucial role in our educational system and hiring process by helping to identify the best applicant based on the necessary abilities. We can do better by improving our communication and confidence skills through mock interviews. This article introduced new way to practice for interviews using AI-based mock interview platform. The three characteristics that our system will utilize to evaluate the user are emotions, confidence, and knowledge base. A deep learning CNN algorithm uses facial expressions to determine emotion classify the emotion into one of the seven categories, and the basis for evaluating confidence is voice recognition through the use Python modules for Pydub audio and natural language processing. A web scraping module will map keywords to internet resources by extracting them from incoming answers. Semantic analysis technique is utilized for knowledge assessment and keyword mapping. So, using this method will help the job candidate feel more confident and less stressed or anxious before the actual job interview