TEXT AND IMAGE TO-VIDEO GENERATION USING GENERATIVE AI

Tejaswini B, Archana C, Rahul Yadav B, Sindhu B, Meghana B

Abstract


In the modern digital era, video content has emerged as one of the most impactful forms of communication, widely used in education, marketing, entertainment, and social media. However, the process of creating high-quality videos traditionally demands significant time, technical expertise, and expensive resources. This project, titled AI Video Studio (VideoGen), aims to simplify and revolutionize this process by utilizing the power of Generative Artificial Intelligence.

The proposed system is a web-based application that enables users to generate high-definition videos using simple text descriptions or reference images. By integrating Google’s advanced Veo model through the Vertex AI platform, the system interprets user inputs and produces short, visually appealing video clips with minimal effort. The backend of the application is developed using Flask (Python), ensuring efficient handling of user requests and secure communication with AI services, while SQLite is used for reliable data storage and management.

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