Shashank Madala
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Overview
I contribute to an AI project that quantifies parent and child interaction synchrony using multimodal data, including video, audio, and pose trajectories. My work involves developing a child versus adult detection module, refining temporal buffering strategies to stabilize predictions during occlusions, and supporting the integration of these features into synchrony scoring models. I also conducted an in-depth literature review on human AI interaction in mental health contexts to inform our methodological framework and guide model design choices.
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