Group Conversation Analytics using Raspberry Pi

Edtech
Python
Web
Signal Processing
IoT
Developed a IoT prototype to process audio data and visualize group speaking analytics through an interactive dashboard

Project overview

Developed during my first-year PhD research, this system captures and visualizes speaking dynamics in face-to-face group conversations. The interactive dashboard provides participants with real-time feedback about their conversation patterns, enabling more balanced and productive discussions.

Technical Implementation

The solution combines a Raspberry Pi with a ReSpeaker microphone array to create an edge-computing prototype that processes vocal interactions in real time. The system captures two key dimensions of group communication:

Vocal Activity Detection

  • Analyzes voice energy signals to identify speaking segments

Spatial Audio Analysis

  • Calculates direction-of-arrival (DoA) using beamforming techniques

  • Maps speakers to physical positions around the discussion table

  • Tracks speaking turns and participant engagement

⚡ Key Contributions

Skills Applied

Python, Raspberry Pi, Signal Processing, Web Development, IoT Prototyping

Libraries Used

pandas,matplotlib,networkx,numpy, dash

Prototype Demo

Dashboard

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