As international travel continues to rise, concerns about its impact on the environment have intensified, leading to a focus on sustainable tourism. This abstract introduces a straightforward solution to tackle these issues by integrating artificial intelligence (AI). The goal is to enhance tourism operations, promote environmental conservation, and foster responsible travelling. Further, AI technology could be applied to predict and manage resources like electricity, water, waste, and transportation in travel destinations. Analyzing historical data with machine learning helps to create predictive models, allowing for sustainable resource allocation based on anticipated future demand. Integrating AI-powered smart technologies, such as sensors and the Internet of Things, enables real-time monitoring of infrastructure and environmental conditions. This dynamic approach adjusts resource distribution in response to actual demand, maximizing efficiency and minimizing the environmental impact of tourism. Additionally, the system could include a feedback loop, utilizing information from visitors and the community for ongoing improvements. This two-way communication enhances adaptability, enabling quick responses to emerging opportunities and challenges in sustainable tourism development. Ultimately, the AI-driven resource management system seeks to strike a balance between meeting growing tourism demand and preserving the environmental integrity of destinations. This paper aims to establish a blueprint for sustainable tourism by reducing waste, optimizing resources, and promoting eco-friendly practices, benefiting both visitors and host communities while safeguarding natural and cultural heritage.