The challenge

COVID-19 escalated into a global pandemic and disrupted the normal learning and working processes worldwide. The rapid transfer to online mode has imposed substantial challenges on both schools and commercial firms. The working and meeting environment may involve various distractions and temptations that prohibit the participants from maintaining their focus. Apart from handling complex settings with online teaching, the hosts lack interactions between the hosts and audience during the lectures and conferences. The hosts may not have effective measures to maintain disciplines in the online environment and lack real-time feedback from participants to the hosts.

The solution

SnapFeedback utilizes facial and motion detection systems to provide real-time feedback to the hosts of online meetings and remote learning sessions. SnapFeedback also employs deep learning techniques to analyze the video content and actions of the hosts, and compares them with participant reactions to provide customized recommendations to speakers, in order to improve audience attention and meeting efficiency.

Mission

SnapFeedback uses A.I technology to provide instant feedback and analytical tools in online conferences to enhance the working and learning performance in the digital era.