Dynamic AI Storytelling and Narrative Plot Generation Engine Using Generative Language Models

Abstract: The proposed system mainly focuses on generating Dynamic AI storytelling and also Narrative plot Generation by using models like generative language models. The main aim of this proposed system is to create an interactive story which is changing according to the emotions and choices of user. The traditional systems mainly focus on linear or semi-linear story creation whereas this proposed system introduces dynamic branching which means allowing the user to change the story dynamically. This system also provides the story to branch into multiple according to the perspectives of the user. Additionally, this system also identifies the emotional tones of the user like anger, happiness, sadness, anxiety etc. Based on these emotional tones of the user this system generates the next part of the story. Proposed system generates the characters as a realistic and these characters also stores the past actions that are given by the user choices. System provides the consistent and realistic characteristics in the story that is generated by system. This system changes the story in different ways according to the user preferences. This system generates more interactive and creative stories, where these stories are meaningful and remains logical. AI is used to generate dynamic stories whereas NLP is used to help the system to understand the language, emotions and context of the user and also makes the story to be natural.

Keywords: Python, GPT Models, Transformers, Text Generation APIs