Abstract:
This thesis presents a virtual meeting application that implements Long Short-Term
Memory Recurrent Neural Network for captioning and integrates with Agora SDK to enable
Real-time Audio, Video, and Messaging. The purpose of this project is to create a virtual
meeting application that contains all necessary features for meeting use while solving one major
problem that has been overlooked by popular video meeting applications. The one particular
problem that was referred to previously is those applications do not provide a separate section for
private chat or even do not have the feature appearing in the application. The private chat feature
in Zoom is designed awkwardly and in an unconventional way thus making Zoom very prone to
human error. Plenty of people are using virtual meeting applications on a daily basis and by
increasing the user experience will indirectly give a lot of benefit to the society.
