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MotiSpectra

Emotion and Attentiveness Analyzer for Virtual Meetings


About

We are a group of 4 University of Waterloo CS students. This project was made for the ConUHacks 2024 hackathon.

Features

  • Seamlessly connects with a virtual call window (Zoom, Google Meet, Teams, etc.)
  • Specially trained machine learning models analyze call participants' faces to determine both emotion and attentiveness
  • Rolling average and radar graphs to smoothly display the emotion and attentiveness data of each participant
  • Easily toggle meeting overlays to display face-detecting squares

About

2nd Overall for ConUHacks VIII

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  • Jupyter Notebook 93.9%
  • TypeScript 4.3%
  • Python 1.8%