Authors - Amit Budhodkar, Rupali Umbare, Nihar Ranjan, Shubham Udgirkar, Sakshi Suryawanshi, Pradnya Aher Abstract - As mock interviews are essential for job interview preparation, the resources available cannot evaluate both technical and non-technical skills. This paper outlines the AI Mock Interview Platform which interfaces with learners and simulates truthful interviews by assessing non-technical competencies such as body language, confidence, emotional expression, and technical knowledge. The platform is capable of dynamically generating interview questions relevant to a candidate's particular role using AI technologies. In addition, AI technologies enable real-time feedback provision. With regard to feedback generation, the system utilizes AI technologies to consider specific features unique to the candidates’ voices, movement, and gaze direction. It utilizes Dlib’s human body posture detection library and video sentiment analysis for facial expression recognition with AffectNet dataset for Convolutional Neural Network faces as well as videos. With the Courses feature, learners can focus on varied topics and the platform automatically selects suitable instructional content consistent with the candidates’ preferred method of learning
