Fine-tuned a GPT-based language model to generate stories aligned with individual user writing styles. The project involved collecting and structuring user-specific writing samples, training the model to learn tone, vocabulary, and narrative patterns, and optimizing it for coherent long-form storytelling. The system can adapt to different authors’ styles, producing personalized and context-aware stories while maintaining consistency, creativity, and fluency across diverse prompts.