Assessnce: An AI-Powered Framework for Automated Placement Training and Interview Analysis

Abstract

The growing gap between academic learning and industry expectations has created a need for personalized, scalable, and objective placement training solutions. Traditional methods often lack real-time feedback, rely on subjective evaluation, and require multiple disconnected platforms for learning, interview practice, and resume building. To address these issues, Assessnce-an AI-powered placement training platform—integrates learning modules, virtual interview evaluation, and resume analysis into a unified system. The platform leverages Artificial Intelligence technologies such as Natural Language Processing for linguistic assessment, Computer Vision for emotion and confidence detection, and Speech Processing for fluency and tone analysis. It also uses transformer-based NLP models for ATS-focused resume evaluation and improvement suggestions. Assessnce generates detailed performance reports, personalized recommendations, and a Placement Readiness Score, enabling students to track progress and enhance employability. The system ultimately offers a scalable, automated, and data-driven solution that improves training efficiency and prepares learners for real-world placement challenges.