ExpressionTracker is an innovative tool designed to enhance the learning experience for dyslexic children. By leveraging facial expression analysis, it identifies emotional states during gameplay, such as engagement, joy, or frustration, to optimize educational game design for both learning effectiveness and emotional well-being.
- Facial Expression Analysis: Uses computer vision and deep learning to detect emotions.
- Real-time Sentiment Analysis: Analyzes emotional states as kids interact with educational games.
- Customizable Insights: Provides actionable data for tailoring games to individual learning needs.
- Built for Accessibility: Focused on improving learning outcomes for children with dyslexia.
- Frontend: React.js
- Backend: Node.js with Express
- Database: MongoDB
- Deep Learning: Hugging Face prebuilt model for emotion detection
- Programming Language: JavaScript