Published Paper Details:

Modern DevOps pipelines prioritize speed, effi- ciency, and automation but often overlook the cognitive state of the human operators managing them. Prolonged deployment ses- sions and critical incident handling can lead to stress, fatigue, and distraction, increasing the likelihood of human-induced errors. This paper proposes an AI-Augmented DevOps framework that integrates real-time cognitive monitoring into CI/CD workflows. The system employs standard webcams for emotion recognition (DeepFace), eye aspect ratio-based fatigue detection (MediaPipe), and computer vision (OpenCV) to assess operator state. Based on detected cognitive strain, the framework can pause ongoing deployments or issue rest alerts via seamless integration with GitHub Actions. A Streamlit-based dashboard provides real- time visualization of cognitive metrics and operational status. Experimental evaluation in a simulated CI/CD environment demonstrated ?90% emotion detection accuracy, ?95% fatigue detection accuracy, and sub-2-second trigger latency, showing the potential of cognitive-aware DevOps systems in reducing operational risk and enhancing developer well-being.