Multilingual Text to Video Generation of Press Information Bureau Press Release
Md Rahbar Alam, Prakash Anand, Rishika Barve, Abhrajit Chakraborty, Madhu D Naik · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT · 2025
This paper introduces a novel AI-powered framework that turns the Press Information Bureau (PIB) press releases into interactive, multilingual video content. The proposed system automates the summarization of text from press releases into 13 regional languages, along with creating video from that summary by using Generative Adversarial Networks and Large language model. This makes it accessible, culturally relevant, and allows better communication and interaction. Preliminary results show higher outreach and interaction metrics, thereby making the solution presented here quite promising for an inclusive public communication approach. Keywords— Artificial Intelligence, Generative Adversarial Network, Press Information Bureau (PIB), Large Language Model, Convolutional Neural Network, Summarization.