Advanced Human–Computer Interaction and Virtual Reality in Smart City Development

The challenges that arise in smart cities include data security, planning, and decision-making. These can be met by integrating VR, AR, and HCI technologies. However, the issues of latency, inefficient gesture recognition, and data integrity call for unified complex frameworks for their implementation. This project uses edge computing, blockchain, AR-VR integration, and CNN-based gesture detection to change the face of smart city applications by enhancing user interaction, real-time processing, secure data management, and low latency. The research uses Unity3D to create immersive AR-VR environments, and a hybrid CNN-LSTM model ensures accurate gesture recognition. Blockchain encrypts data 95% efficiently while edge computing works in real-time. The gesture recognition technology had surpassed previous technologies with 92% accuracy and 15ms delay. Such technologies improve usability, dynamic functioning, and information management security within smart ecosystems while also adapting urban design and resource management.