← Selected work

Computer vision & assistive technology

SocialSync

Exploring how real-time visual feedback can make social cues easier to understand.

PythonOpenCVTensorFlowPyQt5FlaskMySQL
Conceptual architecture illustration

The idea

A desktop prototype that analyzes facial expressions from a camera feed and presents visual feedback. Designed around an assistive use case for autistic people, the project combines a computer vision pipeline with profiles and session history.

Inside the build

  • 01

    Combined face detection with a TensorFlow expression classification model.

  • 02

    Separated interface rendering and model processing into dedicated threads.

  • 03

    Smoothed predictions across recent frames and added session summaries.

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