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Help for Helplessness: Real-Time Social Signal Classification

This project classifies levels of helplessness in video data using multiple deep learning models, including a 2D CNN + LSTM, a 3D CNN, and a pre-trained SwinTransformer3D. It includes full preprocessing, training pipelines, and a live webcam-based GUI for real-time inference.

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Developed a real-time emotion recognition system that classifies levels of helplessness from short video clips using deep learning. Built a custom dataset of annotated human expressions, and evaluated three models—2D CNN-LSTM, 3D CNN, and Video Swin Transformer—achieving up to 72.7% accuracy.

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