TimeEmote - an Application for Computer User
A desktop application that uses computer vision (OpenCV/Deep Face) to identify user emotions, track screen time, and suggest health tips.
About This Project
A desktop application that identifies user emotions through facial analysis, tracks screen time, and suggests health tips by integrating computer vision techniques directly into the application. Using frameworks like OpenCV and the Deep Face library, the application processes live video from the user's webcam to recognize facial expressions in real-time. Screen time monitoring is implemented within the application itself, tracking user activity and providing intelligent health recommendations based on usage patterns and detected emotional states. This innovative application helps users maintain better mental and physical health during extended computer use.
Technologies Used
Key Highlights
- Real-time facial expression recognition using computer vision
- Integration of computer vision and health informatics
- Personalized health tips based on emotional state and screen time
- User-friendly desktop interface for continuous monitoring