This project applies the LLM-Eval framework to the PersonaChat dataset to assess response quality in a conversational context. Using GPT-4o-mini via the OpenAI API, the system generates scores (on a 0-5 or 0-100 scale) for four evaluation metrics: context, grammar, relevance, and appropriateness.