INTERACTIVE AI STORYTELLING WITH EMOTION ADAPTIVE NARRATIVES
Abstract
ABSTRACT
This project is aim to design and implement an interactive AI storytelling system that generates a cohesive and engaging narrative adapting in real-time to the user's emotional state, It presents a novel approach to interactive storytelling by developing an AI-driven system that dynamically adapts narratives based on users' emotion state. Using a sentiment analysis dataset from Kaggle. the system trains an emotion Analysis Module to detect emotions from user input. The module integrates with a generative AI model to dynamically adjust the narrative. creating a personalized experience. This research aims to enhance user engagement, emotional resonance and narrative personalization with potential application in entertainment, education and therapy. The project's outcome has implications for the development of more sophisticated human - AI Interaction systems, enabling more effective and emotionally intelligent storytelling.
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