Paper Title
TRANSFORMING PIB PRESS RELEASES INTO 3-D AVATAR BASED DYNAMIC VIDEO

Abstract
In the period of loss in longer attention situations, there is a need for an innovative communication medium that can appeal to the cult effectively. Presently, People do not like traditional text- driven equipment as they are time consuming and non-fascinating, and gradually are replaced by digital medi- ums in the form of videos and animations. This paper proposes a modern approach to patch traditional long text-predicated Press Releases into dynamic 3D animated videos in a summarized manner. Drawing relief from being virtual mortal ways, our system analyzes text input to induce realistic facial gestures and body movements for the icon, enhancing the user experience. The proposed model first does the web scraping of the PIB website managed by the Government of India to get the bottom most press releases into our database. Coming stage is to epitomize the text with conserving the information. Next step is to synthesize the optimized text to speech signal and examine the text for inducing semantics labels. The last stage of the system focuses on integrating text analysis and speech blending, ensuring flawless conversion of lengthy textual press releases into engaging visual content. Keywords - Text To Speech, Facial Gestures, Body Motions, Semantics Labels, Text Analysis