Africa’s growing mental health crisis underscores a significant lack of accessible and culturally relevant mental health services, with conditions such as depression and anxiety increasingly prevalent. While Cognitive Behavioral Therapy (CBT) has proven effective, it often lacks cultural resonance in African contexts, highlighting the need for innovative approaches. This study proposes a framework for enhancing AI-driven mental health applications by integrating CBT principles with Ubuntu and fine-tuning large language models (LLMs) to embed cultural context. The goal is to improve user engagement and the effectiveness of mental health interventions in South Africa. This framework emphasizes diversity, equity, and inclusion (DEI), with a particular focus on cultural adaptation. Through theoretical exploration, the study demonstrates the potential of Africa-centric LLM applications to offer culturally sensitive support, helping to bridge the mental health service gap across the continent.