Future of Entertainment: Integrating Generative AI into Free Ad-Supported Streaming Television Using the Variational Autoencoder

Generative Artificial Intelligence (AI) is derived from the application of AI to produce works of original art including music, films, and images. Moreover, tailored Ads that are more suitable to specific viewers are produced using generative AI. But it is crucial to think about the moral complications of utilizing generative AI in streaming video. There are some issues that include data security, privacy, and the possibility of manipulating or misusing AI -generated information. So, we developed an effective Ad generation model using deep learning to tackle the existing challenges. Initially, the data is taken from the benchmark sources and given into the FAST process. Here, the Variational Autoencoder (VAE) model is used for the FAST process to generate Ads. The model offers the effectual outcome after completing the process. Then, the effectiveness of the developed model is compared with several existing models to showcase the superiority over other models accurately.