Learn to decode body language using AI in this comprehensive 90-minute Python tutorial. Leverage MediaPipe to estimate facial and body landmarks, then build custom pose classification models for fine-grained body language analysis. Set up MediaPipe for Python, estimate face and body poses using a webcam and OpenCV, collect and process joint coordinates with Pandas, train a custom pose classification model using Scikit-Learn, and decode body language in real-time. Customize the project for various applications like drowsiness detection or extended pose classification with hand models. Follow along with step-by-step instructions, from installation to implementation, and gain practical skills in AI-powered body language interpretation.