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@article{169591,
        author = {Dhanashri Patil and Sakshi Deshmukh and Kalpesh Pathode and Harshwardhan Patil and Supriya Balote},
        title = {Script2Screen: AI-Driven Synchronization of Story,  Sight, and Sound},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {3792-3799},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=169591},
        abstract = {The integration of artificial intelligence (AI) in film- making is revolutionizing the production process by automating essential tasks such as scriptwriting, scene visualization, and audio synthesis. Leveraging advanced technologies like Natural Language Processing (NLP), Generative Adversarial Networks (GANs), and deep learning models, the Script2Screen approach significantly enhances both efficiency and creativity in film production. Despite these advancements, challenges remain in ensuring synchronization between dialogue, visuals, and sound, as well as maintaining narrative coherence. Ethical concerns regarding bias and authorship further complicate the landscape. By exploring current methodologies and technologies, this paper provides valuable insights into the complexities of AI-driven multimodal film generation and identifies future research directions aimed at addressing these challenges to maximize the potential of AI in the film industry.},
        keywords = {Artificial Intelligence, Film Production, Script2Screen, Natural Language Processing, Generative Adversarial Networks, Multimodal Learning, Synchronization, Narrative Coherence, Ethical Considerations, Deep Learning},
        month = {December},
        }