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Real-time body language and confidence detector using OpenCV and MediaPipe. Extracts 15 pose-based features from webcam feed and classifies confidence level (Confident/Neutral/Low) via a trained RandomForest model with ~99% accuracy."
Vivalyse evaluates confidence and clarity in viva speech using MFCC/LPC audio features and BERT embeddings. Built a multimodal ML pipeline with audio preprocessing, feature extraction, ensemble models (RF, MLP, KNN), and SHAP explainability for interpretable speech evaluation.