Museums play a crucial role in safeguarding cultural heritage, yet many exhibits in developing regions like Bangladesh remain underexplored due to static and non-interactive presentation methods. This research addresses the challenge of limited visitor participation in traditional museums in developing regions, particularly Bangladesh, by proposing an AI-powered museum guide robot. The project focuses on preserving and promoting Bangladesh’s diverse cultural heritage—folk songs, rituals, crafts, and historical narratives—through culturally adaptive technologies. Unlike Western-centric museum robotics, this system integrates natural language processing (NLP) fine-tuned on Bengali and regional dialects, image recognition for underexplored artifacts, and AI-based oral storytelling. The robot autonomously navigates using path-tracking and QR code scanning, delivering dynamic experiences through contextual videos, animations, and oral narratives. A participatory design approach ensures the system is accessible, culturally sensitive, and educational. Our findings highlight that AI-driven narrative interaction enhances visitor engagement, making museums sustainable not only operationally but also culturally, ethically, and environmentally. This study presents a scalable model for the preservation of digital cultural heritage, particularly suited for underrepresented regions, demonstrating how affordable robotics can transform museum experiences through intelligent, culturally responsive technologies.