Advancing content creation and development in virtual reality (VR) environments through the integration of generative AI, facial recognition, and emotion recognition technologies. This project, in collaboration with the School of the Arts and Korea Arts, aims to enhance user experiences by leveraging AI to not only generate immersive and dynamic content but also to personalize interactions based on users' emotional responses. By utilizing facial recognition, the system can accurately track and analyze facial expressions, allowing emotion recognition algorithms to adjust VR experiences in real-time, creating a more interactive, adaptive, and emotionally resonant virtual environment.
| Folder | Description |
|---|---|
| Documentation | All documentation the project team has created to describe the architecture, design, installation and configuratin of the peoject |
| Notes and Research | Relavent information useful to understand the tools and techniques used in the project |
| Status Reports | Project management documentation - weekly reports, milestones, etc. |
| scr | Source code - create as many subdirectories as needed |
- Alberto Cano - VCU College of Engineering - Mentor
- Technical Advisor Name - Company Affliation - Technical Advisor
- Faculty Advisor's Name - Department - Faculty Advisor
- Gokul Chaluvadi - Computer Science - Student Team Member
- Kshitij Kokkera - Computer Science - Student Team Member
- Zanika Hossain - Computer Science - Student Team Member
- Natalia Tondi - Computer Engineering - Student Team Member