AI-Assisted Assessment Platforms with Real-Time Monitoring: A Comprehensive Survey

Abstract

The need for smart, safe, and trust worthy proctoring systems has increased due to the widespread shift toward remote learning, online hiring, and extensive digital assessments. Despite their convenience, traditional online exam systems frequently lack strong monitoring and verification features, raising questions about academic integrity, fairness, and authenticity. In order to understand how recent developments in computer vision, natural language processing (NLP), large language models (LLMs), and multimodal learning have changed digital assessments, this paper provides an extensive overview of artificial intelligence (AI)- assisted online proctoring systems. The study examines current scholarly and commercial methods for automated content creation, scalable cloud-based architectures, and real time behavioral monitoring. It also looks at how proctoring techniques are being impacted by generative AI technologies, tackling issues like transparency, privacy protection, cheating detection, and bias reduction. The article ends by pointing out unresolved research issues and suggesting future paths for creating explainable, flexible, and morally sound proctoring systems that guarantee dependability and user confidence.