[FEATURE]: Education AI Suite - Class Engagement panel to display audio-based speaker turns for Smart Classroom sample app

Description Implement a Class Engagement panel that visualizes speaker turns using the audio pipeline. This feature will help educators and ISVs assess classroom participation by identifying who spoke and when, based on diarization of audio input.

Assumptions

• Audio input is file-based for the October release.
• Speaker diarization is supported using models like CRNN, Conformer, or Spectral Clustering.
• GUI will render a timeline or segmented bar chart showing speaker activity.

Dependencies

• Audio Pipeline (ASR + Speaker Diarization)
• GUI framework capable of rendering time-based visualizations

Expected Output

• A visual timeline of speaker turns (e.g., speaker 1, speaker 2...)
• Option to export speaker activity data (CSV or JSON)

Acceptance Criteria

• Speaker turns are accurately detected from audio files
• GUI displays speaker activity in a clear, time-aligned format
• Tested with at least 2 classroom recordings