Deep Learning

Leveraging Digital Twin technology, my project aims to revolutionize smart building management systems by predicting personal thermal comfort. This system integrates point cloud reconstruction, depth cameras, and IoT technologies to offer a comprehensive understanding of indoor conditions and achieve personalized thermal comfort predictions.

a system enhancing VR exergame experiences by adapting to player emotions. It employs reinforcement learning to dynamically adjust NPC behavior, sound, and scale based on real-time emotional feedback. Focusing on positive, neutral, and negative audience types, the system aims to create immersive, emotionally resonant gaming experiences. This innovation extends beyond gaming, offering insights into emotional interaction and the potential of adaptive technology in entertainment.

Machine Learning Project: Student Achievement Classification Introduction This project applies machine learning algorithms to classify student performance. Traditional methods of categorizing student performance are inefficient and inaccurate. This project utilizes machine learning to optimize this process, providing a more effective solution.