Multi-Agent Collaboration for Multimodal Storytelling: A Creative AI Framework for Comic and Audio-Visual Narrative Generation

A multi-agent creative AI framework that collaborates to generate comic and audio-visual stories.

A multi-agent creative AI framework that collaborates to generate comic and audio-visual stories. It is offered as a reference project: a complete, worked example of how a system like this is designed, built and evaluated, so that a developer can study it, run it and learn from it.

It suits learners who want hands-on experience of the whole machine learning workflow: data collection and cleaning, feature engineering, model training and tuning, evaluation and presenting results.

The main parts are cooperating agents with defined roles and tools, fusion of more than one type of input, data preparation and exploration, model training and comparison of algorithms, and evaluation with standard metrics. The reference build uses LLM APIs, Python, scikit-learn, Pandas, and Flask, with a clear project structure, setup instructions and sample data so that it can be run and extended.