The AI-Driven Multi-Modal Story Generator leverages advanced artificial intelligence technologies to transform visual content into engaging narratives by integrating the Google Gemini API for image analysis and the OpenAI GPT API for narrative generation. The system preprocesses user-uploaded images, performs semantic analysis to extract meaningful details, and generates coherent stories tailored to the image content. User interaction allows for customization and refinement, ensuring personalized and creative outputs. The system demonstrates high performance, achieving a 95% accuracy rate in semantic analysis. However, it faces challenges in handling abstract or complex images, which may limit its effectiveness in some scenarios. Designed for scalability and adaptability, the system offers applications in education, entertainment, and marketing, with opportunities for future enhancements, such as multi-language support and improved handling of abstract images. By bridging visual and textual modalities, the system represents a novel approach to AI- driven storytelling, paving the way for innovative content creation.

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AI-Driven Multi-modal Story Generator by Integrating Image Understanding with Creative Narrative Generation Using Gemini and OpenAI APIs

  • Sai Venkata Lalith Sirigiri,
  • Jeelani Hansha Shaik,
  • Dr.Sonia Jenifer Rayen

摘要

The AI-Driven Multi-Modal Story Generator leverages advanced artificial intelligence technologies to transform visual content into engaging narratives by integrating the Google Gemini API for image analysis and the OpenAI GPT API for narrative generation. The system preprocesses user-uploaded images, performs semantic analysis to extract meaningful details, and generates coherent stories tailored to the image content. User interaction allows for customization and refinement, ensuring personalized and creative outputs. The system demonstrates high performance, achieving a 95% accuracy rate in semantic analysis. However, it faces challenges in handling abstract or complex images, which may limit its effectiveness in some scenarios. Designed for scalability and adaptability, the system offers applications in education, entertainment, and marketing, with opportunities for future enhancements, such as multi-language support and improved handling of abstract images. By bridging visual and textual modalities, the system represents a novel approach to AI- driven storytelling, paving the way for innovative content creation.