The project aims to measure emotions specifically focused on software developers during their meetings. By collecting extensive voice data from developers participating in various collaborative discussions, the project will employ advanced AI techniques and Large Language Models (LLMs) to accurately identify and interpret emotional states. This innovative approach leverages the latest advancements in natural language processing and emotion recognition to provide insights into the emotional dynamics of team interactions, ultimately aiming to enhance productivity, collaboration, and overall mental health in the software development industry.
| Folder | Description |
|---|---|
| Documentation | all documentation the project team has created to describe the architecture, design, installation, and configuration of the project |
| Notes and Research | Relevant helpful information to understand the tools and techniques used in the project |
| Project Deliverables | Folder that contains final pdf versions of all Fall and Spring Major Deliverables |
| Status Reports | Project management documentation - weekly reports, milestones, etc. |
| src | Source code - create as many subdirectories as needed |
- Kostadin Damevski - CS - Faculty Advisor/Techical Advisor
- Philip Leake - CS - Student Team Member
- Aryan Rathi - CS - Student Team Member
- Theus Frase - CS - Student Team Member
- Youssef Bahloul - CS - Student Team Member