Abstract
The art of storytelling through comic strips has long been a favorite, grabbing the interest of readers of all ages and developing into a variety of genres today, from superhero comics to political comics. Comic strip readers are more literate, empathic, and open to social issues, according to studies. Comics have the power to change the way we see the world. This research paper presents a system (ComicGenie) for automatically creating comic strips for Batman based on user-entered text descriptions. The proposed system consists of distinct components such as character detection, environment detection, text bubble generation, and voiceover over the scenario, each specializing in different aspects of comic strip creation. SVM and fastText technologies in NLP were utilized for text classification when developing models. Overall, this research contributes to the field of comic strip creation, offering a comprehensive web application. The ComicGenie holds significant potential to revolutionize the comic industry and inspire new avenues for computer-generated storytelling.
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