This document discusses real-time emotion recognition during presentations using machine learning. It outlines using Amazon's DeepLens camera to detect faces in real-time, recognize emotions using Amazon Rekognition and a mini-Xception model, and visualize results. Challenges with DeepLens like limited processing power and setup issues are discussed. Potential extensions like head pose detection and mobile deployment are mentioned.