Abstract: This study examines the use of an artificial intelligence (AI) powered chatbot to improve mental health awareness among key educational stakeholders including students, faculty and counselors. Traditional static mental health education models have limitations, so the research uses a simulation based framework that combines supervised learning machine learning techniques, environmental analytics and stakeholder stratification to measure stakeholder awareness. A machine learning algorithm with personalized curriculum was designed to improve mental health literacy and simulate a multi-dimensional educational experience. The data was visualized to show stakeholder progression from awareness to behavioral engagement. The results show measurable gains in mental health literacy as personalization of curriculum using AI was very impactful. The research concludes that mental health education must be adaptive, culturally contextualized and ethically grounded. Future applications should focus on real world validation, intergenerational learning, environmental modeling and narrative driven personalization so awareness leads to understanding and sustained behavioral change.