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Emotion Analytics for Video Calls

Analyzes participants' emotions, attention, and demographics to provide actionable insights for more productive video meetings.

Made by chandra dekeyser

  • Productivity

  • Remote Work

  • Sales

  • Education

  • Streaming Services

  • Artificial Intelligence

  • User Experience

  • iOS

  • Internet of Things

  • Android

What is Emotion Analytics for Video Calls?

The MoodMe application offers a unique approach to video meetings by providing real-time Engagement Insights. The software analyzes participants' emotions, attention levels, and demographics through advanced facial recognition technology. This data-driven analysis aims to help meeting organizers optimize the session's productivity and ensure all attendees remain engaged throughout. MoodMe's privacy-focused edge computing design processes this information locally, without the need to upload sensitive data to the cloud. The resulting insights empower meeting leaders to make informed decisions, adjust their approach, and create a more collaborative and dynamic experience for all participants

Highlights

  • Real-time analysis of participant emotions, attention, and demographics during video meetings
  • Actionable insights to improve meeting productivity and engagement
  • Edge-based facial recognition technology that respects user privacy
  • Cost-effective solution that avoids cloud-based data processing

Platforms

  • Web
  • iOS
  • Android

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