Traditional exhibition hall displays suffer from poor interactivity and lack immersive experiences, limiting audience engagement. To address this, this study proposes an intelligent VR-based interactive platform integrating 3D modeling, multi-sensory interaction, and data analytics. A high-precision 3D virtual environment was first constructed using Maya and Unity3D, enhanced by physically based rendering and dynamic lighting. Next, intelligent sensing technologies—eye tracking and motion capture—were embedded to enable natural user-exhibit interactions. Speech recognition and NLP algorithms facilitated real-time voice commands, while Grafana-powered data visualization tools provided managers with user behavior insights. Experiments demonstrated the platform’s stability under multi-user concurrency, with 79.1% average gaze time on exhibits and 14.3 interactions per user, confirming its effectiveness in boosting immersion and participation. The results validate the platform’s technical robustness and user-centric innovation, offering a transformative solution for modernizing cultural exhibitions.